easybuild-easyconfigs
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20 hours ago •
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{devel}[foss/2022a] PyTorch v1.12.0 w/ Python 3.10.4 [WIP]
(created using eb --new-pr)
Depends on
- [x] #15918
- [x] #15920
- [ ] #15921
- [x] #15922
Note that the current EasyConfig doesn't work yet, the patches need to be updated
Test report by @casparvl SUCCESS Build succeeded for 1 out of 1 (1 easyconfigs in total) gcn1 - Linux RHEL 8.4, x86_64, Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz, 4 x NVIDIA NVIDIA A100-SXM4-40GB, 515.43.04, Python 3.6.8 See https://gist.github.com/bace94cc78d56c56eb4e5d5c86b12d46 for a full test report.
Hey Casper, have a look at this one https://github.com/pytorch/pytorch/pull/81691
@surak : I had a look, but that PR is still being actively worked on. I wouldn't be in favor of taking the current 'fix' and apply it as an EasyBuild patch, as long as they haven't settled on what exactly that fix should look like.
I propose we check out if they have settled on a solution by the time we are about to merge this PR - and if so, add that patch in as a last thing. If not, I'd propose to just merge this, and update this EasyConfig with a patch once a solution has been settled on.
Failing tests are:
distributions/test_constraints failed!
distributions/test_distributions failed!
test_fx failed!
test_jit failed!
test_jit_cuda_fuser failed!
test_jit_legacy failed!
test_jit_profiling failed!
test_package failed!
test_quantization failed!
test_reductions failed!
test_sort_and_select failed!
test_sparse failed!
test_tensor_creation_ops failed!
test_torch failed!
Due to the max_failed_tests=20 the build will complete, but I'll try to check out if these failures really don't point to issues with the installation.
We should however think about patching our EasyBlock in how it counts the number of failed tests: I'm pretty sure that currently, it counts complete test suites as single failures, and then 20 could be quite a lot. As an example: test_tensor_creation_ops consists of 1008 tests, out of which 50 fail, and 141 are skipped. Currently, this counts as 1 failure towards the limit of 20. It should count as 50 failures, and probably our limit should be higher...
Analysis of the failing tests (part 1)
distributions/test_constraints
Click to expand
=================================== FAILURES ===================================
______________ test_constraint[True-constraint_fn5-False-value5] _______________
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/distributions/test_constraints.py", line 71, in test_constraint
assert constraint_fn.check(t(value)).all() == result
AssertionError: assert tensor(True, device='cuda:0') == False
+ where tensor(True, device='cuda:0') = <built-in method all of Tensor object at 0x152135570950>()
+ where <built-in method all of Tensor object at 0x152135570950> = tensor(True, device='cuda:0').all
+ where tensor(True, device='cuda:0') = <bound method _PositiveDefinite.check of PositiveDefinite()>(tensor([[ 3., -5.],\n [-5., 3.]], device='cuda:0', dtype=torch.float64))
+ where <bound method _PositiveDefinite.check of PositiveDefinite()> = PositiveDefinite().check
+ and tensor([[ 3., -5.],\n [-5., 3.]], device='cuda:0', dtype=torch.float64) = <class 'torch.cuda.DoubleTensor'>([[3.0, -5], [-5.0, 3]])
_______________ test_constraint[True-constraint_fn7-True-value7] _______________
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/distributions/test_constraints.py", line 71, in test_constraint
assert constraint_fn.check(t(value)).all() == result
AssertionError: assert tensor(False, device='cuda:0') == True
+ where tensor(False, device='cuda:0') = <built-in method all of Tensor object at 0x1521355719e0>()
+ where <built-in method all of Tensor object at 0x1521355719e0> = tensor(False, device='cuda:0').all
+ where tensor(False, device='cuda:0') = <bound method _PositiveSemidefinite.check of PositiveSemidefinite()>(tensor([[1., 2.],\n [2., 4.]], device='cuda:0', dtype=torch.float64))
+ where <bound method _PositiveSemidefinite.check of PositiveSemidefinite()> = PositiveSemidefinite().check
+ and tensor([[1., 2.],\n [2., 4.]], device='cuda:0', dtype=torch.float64) = <class 'torch.cuda.DoubleTensor'>([[1.0, 2], [2.0, 4]])
=============================== warnings summary ===============================
../../../../../../../../../home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_cuda.py:19
/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_cuda.py:19: DeprecationWarning: distutils Version c
lasses are deprecated. Use packaging.version instead.
CUDA11OrLater = torch.version.cuda and LooseVersion(torch.version.cuda) >= "11.0"
../../../../../../../../../sw/arch/RHEL8/EB_production/2022/software/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/site-packages/setuptools/_distutils/version.py:351
/sw/arch/RHEL8/EB_production/2022/software/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated.
Use packaging.version instead.
other = LooseVersion(other)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [2] distributions/test_constraints.py:83: `biject_to` not implemented.
FAILED distributions/test_constraints.py::test_constraint[True-constraint_fn5-False-value5]
FAILED distributions/test_constraints.py::test_constraint[True-constraint_fn7-True-value7]
============= 2 failed, 128 passed, 2 skipped, 2 warnings in 4.42s =============
distributions/test_constraints failed!
distributions/test_distributions
Click to expand
======================================================================
FAIL: test_wishart_log_prob (__main__.TestDistributions)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/distributions/test_distributions.py", line 2334, in test_wishart_log_prob
self.assertEqual(0.0, (batched_prob - unbatched_prob).abs().max(), atol=1e-3, rtol=0)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Scalars are not close!
Absolute difference: nan (up to 0.001 allowed)
Relative difference: nan (up to 0 allowed)
----------------------------------------------------------------------
Ran 219 tests in 26.549s
FAILED (failures=1)
distributions/test_distributions failed!
test_fx
Click to expand
======================================================================
ERROR: test_assert (__main__.TestFX)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 3289, in test_assert
traced = symbolic_trace(f)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 3285, in f
assert x > 1
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 284, in __bool__
return self.tracer.to_bool(self)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 160, in to_bool
raise TraceError('symbolically traced variables cannot be used as inputs to control flow')
torch.fx.proxy.TraceError: symbolically traced variables cannot be used as inputs to control flow
======================================================================
ERROR: test_nn_functional_adaptive_max_pool1d (__main__.TestFunctionalTracing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 4027, in functional_test
symbolic_trace(fn)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/_jit_internal.py", line 416, in fn
dispatch_flag = kwargs[arg_name]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 260, in __iter__
return self.tracer.iter(self)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 169, in iter
raise TraceError('Proxy object cannot be iterated. This can be '
torch.fx.proxy.TraceError: Proxy object cannot be iterated. This can be attempted when the Proxy is used in a loop or as a *args or **kwargs function argument. See the torch.fx docs on pytorch.org for a more detailed explanation of what types of control flow can be traced, and check out the Proxy docstring for help troubleshooting Proxy iteration errors
======================================================================
ERROR: test_nn_functional_adaptive_max_pool2d (__main__.TestFunctionalTracing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 4027, in functional_test
symbolic_trace(fn)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/_jit_internal.py", line 416, in fn
dispatch_flag = kwargs[arg_name]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 260, in __iter__
return self.tracer.iter(self)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 169, in iter
raise TraceError('Proxy object cannot be iterated. This can be '
torch.fx.proxy.TraceError: Proxy object cannot be iterated. This can be attempted when the Proxy is used in a loop or as a *args or **kwargs function argument. See the torch.fx docs on pytorch.org for a more detailed explanation of what types of control flow can be traced, and check out the Proxy docstring for help troubleshooting Proxy iteration errors
======================================================================
ERROR: test_nn_functional_adaptive_max_pool3d (__main__.TestFunctionalTracing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 4027, in functional_test
symbolic_trace(fn)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/_jit_internal.py", line 416, in fn
dispatch_flag = kwargs[arg_name]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 260, in __iter__
return self.tracer.iter(self)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 169, in iter
raise TraceError('Proxy object cannot be iterated. This can be '
torch.fx.proxy.TraceError: Proxy object cannot be iterated. This can be attempted when the Proxy is used in a loop or as a *args or **kwargs function argument. See the torch.fx docs on pytorch.org for a more detailed explanation of what types of control flow can be traced, and check out the Proxy docstring for help troubleshooting Proxy iteration errors
======================================================================
ERROR: test_nn_functional_fractional_max_pool2d (__main__.TestFunctionalTracing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 4027, in functional_test
symbolic_trace(fn)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/_jit_internal.py", line 416, in fn
dispatch_flag = kwargs[arg_name]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 260, in __iter__
return self.tracer.iter(self)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 169, in iter
raise TraceError('Proxy object cannot be iterated. This can be '
torch.fx.proxy.TraceError: Proxy object cannot be iterated. This can be attempted when the Proxy is used in a loop or as a *args or **kwargs function argument. See the torch.fx docs on pytorch.org for a more detailed explanation of what types of control flow can be traced, and check out the Proxy docstring for help troubleshooting Proxy iteration errors
======================================================================
ERROR: test_nn_functional_fractional_max_pool3d (__main__.TestFunctionalTracing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 4027, in functional_test
symbolic_trace(fn)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/_jit_internal.py", line 416, in fn
dispatch_flag = kwargs[arg_name]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 260, in __iter__
return self.tracer.iter(self)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 169, in iter
raise TraceError('Proxy object cannot be iterated. This can be '
torch.fx.proxy.TraceError: Proxy object cannot be iterated. This can be attempted when the Proxy is used in a loop or as a *args or **kwargs function argument. See the torch.fx docs on pytorch.org for a more detailed explanation of what types of control flow can be traced, and check out the Proxy docstring for help troubleshooting Proxy iteration errors
======================================================================
ERROR: test_nn_functional_group_norm (__main__.TestFunctionalTracing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 4027, in functional_test
symbolic_trace(fn)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/functional.py", line 2515, in group_norm
_verify_batch_size([input.size(0) * input.size(1) // num_groups, num_groups] + list(input.size()[2:]))
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 291, in __len__
raise RuntimeError("'len' is not supported in symbolic tracing by default. If you want "
RuntimeError: 'len' is not supported in symbolic tracing by default. If you want this call to be recorded, please call torch.fx.wrap('len') at module scope
======================================================================
ERROR: test_nn_functional_max_pool1d (__main__.TestFunctionalTracing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 4027, in functional_test
symbolic_trace(fn)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/_jit_internal.py", line 416, in fn
dispatch_flag = kwargs[arg_name]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 260, in __iter__
return self.tracer.iter(self)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 169, in iter
raise TraceError('Proxy object cannot be iterated. This can be '
torch.fx.proxy.TraceError: Proxy object cannot be iterated. This can be attempted when the Proxy is used in a loop or as a *args or **kwargs function argument. See the torch.fx docs on pytorch.org for a more detailed explanation of what types of control flow can be traced, and check out the Proxy docstring for help troubleshooting Proxy iteration errors
======================================================================
ERROR: test_nn_functional_max_pool2d (__main__.TestFunctionalTracing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 4027, in functional_test
symbolic_trace(fn)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/_jit_internal.py", line 416, in fn
dispatch_flag = kwargs[arg_name]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 260, in __iter__
return self.tracer.iter(self)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 169, in iter
raise TraceError('Proxy object cannot be iterated. This can be '
torch.fx.proxy.TraceError: Proxy object cannot be iterated. This can be attempted when the Proxy is used in a loop or as a *args or **kwargs function argument. See the torch.fx docs on pytorch.org for a more detailed explanation of what types of control flow can be traced, and check out the Proxy docstring for help troubleshooting Proxy iteration errors
======================================================================
ERROR: test_nn_functional_max_pool3d (__main__.TestFunctionalTracing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_fx.py", line 4027, in functional_test
symbolic_trace(fn)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 878, in symbolic_trace
graph = tracer.trace(root, concrete_args)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 587, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/_jit_internal.py", line 416, in fn
dispatch_flag = kwargs[arg_name]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 260, in __iter__
return self.tracer.iter(self)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/proxy.py", line 169, in iter
raise TraceError('Proxy object cannot be iterated. This can be '
torch.fx.proxy.TraceError: Proxy object cannot be iterated. This can be attempted when the Proxy is used in a loop or as a *args or **kwargs function argument. See the torch.fx docs on pytorch.org for a more detailed explanation of what types of control flow can be traced, and check out the Proxy docstring for help troubleshooting Proxy iteration errors
----------------------------------------------------------------------
Ran 1470 tests in 5.177s
FAILED (errors=10, skipped=736, expected failures=6)
test_fx failed!
Analysis of the failing tests (part 2)
test_jit
Click to expand
======================================================================
ERROR: test_adv_indexing_list (jit.test_python_builtins.TestPythonBuiltinOP)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_python_builtins.py", line 368, in test_adv_indexing_list
self.checkScript(func5, (input,))
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 483, in checkScript
self.checkScript(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 521, in checkScript
python_outputs = python_fn(*inputs)
File "<string>", line 3, in func5
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_all (__main__.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 7002, in test_all
self.assertTrue(test_all_tensor(torch.tensor([3.14, 3, 99], dtype=torch.uint8)))
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_nn_GRU (__main__.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15053, in test_nn_GRU
seq_script_out = self.runAndSaveRNG(lambda x: SeqLengthGRU()(x), (seq_input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_jit.py", line 160, in runAndSaveRNG
results = func(*inputs, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15053, in <lambda>
seq_script_out = self.runAndSaveRNG(lambda x: SeqLengthGRU()(x), (seq_input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 432, in prof_meth_call
return prof_callable(meth_call, *args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 426, in prof_callable
return callable(*args, **kwargs)
RuntimeError:
kind_.is_prim() INTERNAL ASSERT FAILED at "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/torch/csrc/jit/ir/ir.cpp":1215, please report a bug to PyTorch. Only prim ops are allowed to not have a registered operator but aten::index_select doesn't have one either. We don't know if this op has side effects.
The above operation failed shape propagation in this context:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/rnn.py", line 21
def apply_permutation(tensor: Tensor, permutation: Tensor, dim: int = 1) -> Tensor:
return tensor.index_select(dim, permutation)
~~~~~~~~~~~~~~~~~~~ <--- HERE
======================================================================
ERROR: test_nn_LSTM (__main__.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15026, in test_nn_LSTM
script_out = self.runAndSaveRNG(lambda x: S()(x), (input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_jit.py", line 160, in runAndSaveRNG
results = func(*inputs, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15026, in <lambda>
script_out = self.runAndSaveRNG(lambda x: S()(x), (input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 432, in prof_meth_call
return prof_callable(meth_call, *args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 426, in prof_callable
return callable(*args, **kwargs)
RuntimeError:
kind_.is_prim() INTERNAL ASSERT FAILED at "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/torch/csrc/jit/ir/ir.cpp":1215, please report a bug to PyTorch. Only prim ops are allowed to not have a registered operator but aten::index_select doesn't have one either. We don't know if this op has side effects.
The above operation failed shape propagation in this context:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/rnn.py", line 21
def apply_permutation(tensor: Tensor, permutation: Tensor, dim: int = 1) -> Tensor:
return tensor.index_select(dim, permutation)
~~~~~~~~~~~~~~~~~~~ <--- HERE
======================================================================
ERROR: test_script_pack_padded_sequence (__main__.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 9826, in test_script_pack_padded_sequence
scripted_pack_padded_seq = torch.jit.script(pack_padded_pad_packed_script)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
RuntimeError:
PackedSequence(Tensor data, Tensor batch_sizes, Tensor sorted_indices, Tensor unsorted_indices) -> ():
Expected a value of type 'Tensor (inferred)' for argument 'sorted_indices' but instead found type 'Optional[Tensor]'.
Inferred 'sorted_indices' to be of type 'Tensor' because it was not annotated with an explicit type.
:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 195
data, batch_sizes, sorted_indices, unsorted_indices = _packed_sequence_init_args(
data, batch_sizes, sorted_indices, unsorted_indices)
return PackedSequence(data, batch_sizes, sorted_indices, unsorted_indices)
~~~~~~~~~~~~~~ <--- HERE
'_packed_sequence_init' is being compiled since it was called from 'pack_padded_sequence'
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 261
data, batch_sizes = \
_VF._pack_padded_sequence(input, lengths, batch_first)
return _packed_sequence_init(data, batch_sizes, sorted_indices, None)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'pack_padded_sequence' is being compiled since it was called from 'pack_padded_pad_packed_script'
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 9812
def pack_padded_pad_packed_script(x, seq_lens):
x = pack_padded_sequence(x, seq_lens)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
x, lengths = pad_packed_sequence(x)
return x, lengths
======================================================================
ERROR: test_script_pad_sequence_pack_sequence (__main__.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 9875, in test_script_pad_sequence_pack_sequence
self.checkScript(pack_sequence_func,
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 483, in checkScript
self.checkScript(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 467, in checkScript
cu = torch.jit.CompilationUnit(script, _frames_up=frames_up)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
RuntimeError:
PackedSequence(Tensor data, Tensor batch_sizes, Tensor sorted_indices, Tensor unsorted_indices) -> ():
Expected a value of type 'Tensor (inferred)' for argument 'sorted_indices' but instead found type 'Optional[Tensor]'.
Inferred 'sorted_indices' to be of type 'Tensor' because it was not annotated with an explicit type.
:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 195
data, batch_sizes, sorted_indices, unsorted_indices = _packed_sequence_init_args(
data, batch_sizes, sorted_indices, unsorted_indices)
return PackedSequence(data, batch_sizes, sorted_indices, unsorted_indices)
~~~~~~~~~~~~~~ <--- HERE
'_packed_sequence_init' is being compiled since it was called from 'pack_padded_sequence'
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 261
data, batch_sizes = \
_VF._pack_padded_sequence(input, lengths, batch_first)
return _packed_sequence_init(data, batch_sizes, sorted_indices, None)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'pack_padded_sequence' is being compiled since it was called from 'pack_sequence'
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 482
"""
lengths = torch.as_tensor([v.size(0) for v in sequences])
return pack_padded_sequence(pad_sequence(sequences), lengths, enforce_sorted=enforce_sorted)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'pack_sequence' is being compiled since it was called from 'pack_sequence_func'
File "<string>", line 3
def pack_sequence_func(tensor_list, enforce_sorted=True):
# type: (List[Tensor], bool) -> Tensor
return pad_packed_sequence(pack_sequence(tensor_list, enforce_sorted))[0]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
======================================================================
ERROR: test_torch_tensor_as_tensor (__main__.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 7458, in test_torch_tensor_as_tensor
t2 = scope['func']()
File "<string>", line 4, in func
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
FAIL: test_hash_float (jit.test_hash.TestHash)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_hash.py", line 78, in test_hash_float
self.checkScript(fn, (float("nan"), float("nan")))
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 483, in checkScript
self.checkScript(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 522, in checkScript
self.assertEqual(python_outputs, script_outputs, atol=atol, rtol=rtol)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Booleans mismatch: False is not True
======================================================================
FAIL: test_assign_python_attr (jit.test_type_sharing.TestTypeSharing)
Assigning a new (python-only) attribute should not change type sharing
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 233, in test_assign_python_attr
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5003.M
======================================================================
FAIL: test_basic (jit.test_type_sharing.TestTypeSharing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 50, in test_basic
self.assertSameType(m1, m2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5004.M
======================================================================
FAIL: test_builtin_function_same (jit.test_type_sharing.TestTypeSharing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 300, in test_builtin_function_same
self.assertSameType(c1, c2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.Caller != __torch__.jit.test_type_sharing.___torch_mangle_5006.Caller
======================================================================
FAIL: test_constants (jit.test_type_sharing.TestTypeSharing)
Types should be shared for identical constant values, and different for different constant values
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 90, in test_constants
self.assertSameType(m1, m2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5007.M
======================================================================
FAIL: test_diff_attr_values (jit.test_type_sharing.TestTypeSharing)
Types should be shared even if attribute values differ
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 70, in test_diff_attr_values
self.assertSameType(m1, m2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5008.M
======================================================================
FAIL: test_ignored_fns (jit.test_type_sharing.TestTypeSharing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 415, in test_ignored_fns
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5009.M
======================================================================
FAIL: test_mutate_attr_value (jit.test_type_sharing.TestTypeSharing)
Mutating the value of an attribute should not change type sharing
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 211, in test_mutate_attr_value
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5016.M
======================================================================
FAIL: test_python_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
Same functions passed in should lead to same types
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 378, in test_python_function_attribute_same
self.assertSameType(fn1_mod, fn2_mod)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5019.M
======================================================================
FAIL: test_script_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
Same functions passed in should lead to same types
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 335, in test_script_function_attribute_same
self.assertSameType(fn1_mod, fn2_mod)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5025.M
======================================================================
FAIL: test_submodules (jit.test_type_sharing.TestTypeSharing)
If submodules differ, the types should differ.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 127, in test_submodules
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5031.M
======================================================================
FAIL: test_type_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing)
Test that types are shared if the exclusion of their
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 587, in test_type_shared_ignored_attributes
self.assertSameType(a_with_linear, a_with_string)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.A != __torch__.jit.test_type_sharing.___torch_mangle_5036.A
----------------------------------------------------------------------
Ran 2661 tests in 104.873s
FAILED (failures=12, errors=7, skipped=89, expected failures=7)
test_jit failed!
test_jit_cuda_fuser
Click to expand
======================================================================
ERROR: test_unary_ops (__main__.TestCudaFuser)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit_cuda_fuser.py", line 658, in test_unary_ops
self._unary_test_helper(op, dtype, False) # test special numbers
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit_cuda_fuser.py", line 602, in _unary_test_helper
self.assertTrue(self._compare("failing case {}\n{}\n{}\n{}".format(dtype, operation, x, y), o, jit_o, 1e-2))
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit_cuda_fuser.py", line 1273, in _compare
close = torch.allclose(a, b, rtol=error, atol=error, equal_nan=True)
RuntimeError: BFloat16 did not match Bool
----------------------------------------------------------------------
Ran 7431 tests in 1041.923s
FAILED (errors=1, skipped=7302)
test_jit_cuda_fuser failed!
test_jit_legacy
Click to expand
======================================================================
ERROR: test_peephole_optimize_shape_ops (test_jit.TestJit)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 676, in test_peephole_optimize_shape_ops
test_dtype()
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 675, in test_dtype
test_input(func, torch.tensor(0.5, dtype=torch.int64), 2)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_adv_indexing_list (jit.test_python_builtins.TestPythonBuiltinOP)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_python_builtins.py", line 368, in test_adv_indexing_list
self.checkScript(func5, (input,))
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 483, in checkScript
self.checkScript(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 521, in checkScript
python_outputs = python_fn(*inputs)
File "<string>", line 3, in func5
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_all (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 7002, in test_all
self.assertTrue(test_all_tensor(torch.tensor([3.14, 3, 99], dtype=torch.uint8)))
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_nn_GRU (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15053, in test_nn_GRU
seq_script_out = self.runAndSaveRNG(lambda x: SeqLengthGRU()(x), (seq_input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_jit.py", line 160, in runAndSaveRNG
results = func(*inputs, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15053, in <lambda>
seq_script_out = self.runAndSaveRNG(lambda x: SeqLengthGRU()(x), (seq_input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 432, in prof_meth_call
return prof_callable(meth_call, *args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 426, in prof_callable
return callable(*args, **kwargs)
RuntimeError:
kind_.is_prim() INTERNAL ASSERT FAILED at "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/torch/csrc/jit/ir/ir.cpp":1215, please report a bug to PyTorch. Only prim ops are allowed to not have a registered operator but aten::index_select doesn't have one either. We don't know if this op has side effects.
The above operation failed shape propagation in this context:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/rnn.py", line 21
def apply_permutation(tensor: Tensor, permutation: Tensor, dim: int = 1) -> Tensor:
return tensor.index_select(dim, permutation)
~~~~~~~~~~~~~~~~~~~ <--- HERE
======================================================================
ERROR: test_nn_LSTM (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15026, in test_nn_LSTM
script_out = self.runAndSaveRNG(lambda x: S()(x), (input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_jit.py", line 160, in runAndSaveRNG
results = func(*inputs, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15026, in <lambda>
script_out = self.runAndSaveRNG(lambda x: S()(x), (input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 432, in prof_meth_call
return prof_callable(meth_call, *args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 426, in prof_callable
return callable(*args, **kwargs)
RuntimeError:
kind_.is_prim() INTERNAL ASSERT FAILED at "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/torch/csrc/jit/ir/ir.cpp":1215, please report a bug to PyTorch. Only prim ops are allowed to not have a registered operator but aten::index_select doesn't have one either. We don't know if this op has side effects.
The above operation failed shape propagation in this context:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/rnn.py", line 21
def apply_permutation(tensor: Tensor, permutation: Tensor, dim: int = 1) -> Tensor:
return tensor.index_select(dim, permutation)
~~~~~~~~~~~~~~~~~~~ <--- HERE
======================================================================
ERROR: test_script_pack_padded_sequence (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 9826, in test_script_pack_padded_sequence
scripted_pack_padded_seq = torch.jit.script(pack_padded_pad_packed_script)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
RuntimeError:
PackedSequence(Tensor data, Tensor batch_sizes, Tensor sorted_indices, Tensor unsorted_indices) -> ():
Expected a value of type 'Tensor (inferred)' for argument 'sorted_indices' but instead found type 'Optional[Tensor]'.
Inferred 'sorted_indices' to be of type 'Tensor' because it was not annotated with an explicit type.
:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 195
data, batch_sizes, sorted_indices, unsorted_indices = _packed_sequence_init_args(
data, batch_sizes, sorted_indices, unsorted_indices)
return PackedSequence(data, batch_sizes, sorted_indices, unsorted_indices)
~~~~~~~~~~~~~~ <--- HERE
'_packed_sequence_init' is being compiled since it was called from 'pack_padded_sequence'
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 261
data, batch_sizes = \
_VF._pack_padded_sequence(input, lengths, batch_first)
return _packed_sequence_init(data, batch_sizes, sorted_indices, None)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'pack_padded_sequence' is being compiled since it was called from 'pack_padded_pad_packed_script'
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 9812
def pack_padded_pad_packed_script(x, seq_lens):
x = pack_padded_sequence(x, seq_lens)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
x, lengths = pad_packed_sequence(x)
return x, lengths
======================================================================
ERROR: test_script_pad_sequence_pack_sequence (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 9875, in test_script_pad_sequence_pack_sequence
self.checkScript(pack_sequence_func,
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 483, in checkScript
self.checkScript(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 467, in checkScript
cu = torch.jit.CompilationUnit(script, _frames_up=frames_up)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
RuntimeError:
PackedSequence(Tensor data, Tensor batch_sizes, Tensor sorted_indices, Tensor unsorted_indices) -> ():
Expected a value of type 'Tensor (inferred)' for argument 'sorted_indices' but instead found type 'Optional[Tensor]'.
Inferred 'sorted_indices' to be of type 'Tensor' because it was not annotated with an explicit type.
:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 195
data, batch_sizes, sorted_indices, unsorted_indices = _packed_sequence_init_args(
data, batch_sizes, sorted_indices, unsorted_indices)
return PackedSequence(data, batch_sizes, sorted_indices, unsorted_indices)
~~~~~~~~~~~~~~ <--- HERE
'_packed_sequence_init' is being compiled since it was called from 'pack_padded_sequence'
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 261
data, batch_sizes = \
_VF._pack_padded_sequence(input, lengths, batch_first)
return _packed_sequence_init(data, batch_sizes, sorted_indices, None)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'pack_padded_sequence' is being compiled since it was called from 'pack_sequence'
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 482
"""
lengths = torch.as_tensor([v.size(0) for v in sequences])
return pack_padded_sequence(pad_sequence(sequences), lengths, enforce_sorted=enforce_sorted)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'pack_sequence' is being compiled since it was called from 'pack_sequence_func'
File "<string>", line 3
def pack_sequence_func(tensor_list, enforce_sorted=True):
# type: (List[Tensor], bool) -> Tensor
return pad_packed_sequence(pack_sequence(tensor_list, enforce_sorted))[0]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
======================================================================
ERROR: test_torch_tensor_as_tensor (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 7458, in test_torch_tensor_as_tensor
t2 = scope['func']()
File "<string>", line 4, in func
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
FAIL: test_hash_float (jit.test_hash.TestHash)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_hash.py", line 78, in test_hash_float
self.checkScript(fn, (float("nan"), float("nan")))
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 483, in checkScript
self.checkScript(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 522, in checkScript
self.assertEqual(python_outputs, script_outputs, atol=atol, rtol=rtol)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Booleans mismatch: False is not True
======================================================================
FAIL: test_assign_python_attr (jit.test_type_sharing.TestTypeSharing)
Assigning a new (python-only) attribute should not change type sharing
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 233, in test_assign_python_attr
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5007.M
======================================================================
FAIL: test_basic (jit.test_type_sharing.TestTypeSharing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 50, in test_basic
self.assertSameType(m1, m2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5008.M
======================================================================
FAIL: test_builtin_function_same (jit.test_type_sharing.TestTypeSharing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 300, in test_builtin_function_same
self.assertSameType(c1, c2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.Caller != __torch__.jit.test_type_sharing.___torch_mangle_5010.Caller
======================================================================
FAIL: test_constants (jit.test_type_sharing.TestTypeSharing)
Types should be shared for identical constant values, and different for different constant values
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 90, in test_constants
self.assertSameType(m1, m2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5011.M
======================================================================
FAIL: test_diff_attr_values (jit.test_type_sharing.TestTypeSharing)
Types should be shared even if attribute values differ
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 70, in test_diff_attr_values
self.assertSameType(m1, m2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5012.M
======================================================================
FAIL: test_ignored_fns (jit.test_type_sharing.TestTypeSharing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 415, in test_ignored_fns
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5013.M
======================================================================
FAIL: test_mutate_attr_value (jit.test_type_sharing.TestTypeSharing)
Mutating the value of an attribute should not change type sharing
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 211, in test_mutate_attr_value
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5020.M
======================================================================
FAIL: test_python_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
Same functions passed in should lead to same types
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 378, in test_python_function_attribute_same
self.assertSameType(fn1_mod, fn2_mod)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5023.M
======================================================================
FAIL: test_script_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
Same functions passed in should lead to same types
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 335, in test_script_function_attribute_same
self.assertSameType(fn1_mod, fn2_mod)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5029.M
======================================================================
FAIL: test_submodules (jit.test_type_sharing.TestTypeSharing)
If submodules differ, the types should differ.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 127, in test_submodules
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5035.M
======================================================================
FAIL: test_type_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing)
Test that types are shared if the exclusion of their
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 587, in test_type_shared_ignored_attributes
self.assertSameType(a_with_linear, a_with_string)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.A != __torch__.jit.test_type_sharing.___torch_mangle_5040.A
----------------------------------------------------------------------
Ran 2661 tests in 108.707s
FAILED (failures=12, errors=8, skipped=87, expected failures=7)
Analysis of the failing tests (part 3)
test_jit_profiling failed!
Click to expand
======================================================================
ERROR: test_adv_indexing_list (jit.test_python_builtins.TestPythonBuiltinOP)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_python_builtins.py", line 368, in test_adv_indexing_list
self.checkScript(func5, (input,))
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 483, in checkScript
self.checkScript(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 521, in checkScript
python_outputs = python_fn(*inputs)
File "<string>", line 3, in func5
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_all (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 7002, in test_all
self.assertTrue(test_all_tensor(torch.tensor([3.14, 3, 99], dtype=torch.uint8)))
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_nn_GRU (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15053, in test_nn_GRU
seq_script_out = self.runAndSaveRNG(lambda x: SeqLengthGRU()(x), (seq_input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_jit.py", line 160, in runAndSaveRNG
results = func(*inputs, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15053, in <lambda>
seq_script_out = self.runAndSaveRNG(lambda x: SeqLengthGRU()(x), (seq_input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 432, in prof_meth_call
return prof_callable(meth_call, *args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 426, in prof_callable
return callable(*args, **kwargs)
RuntimeError:
kind_.is_prim() INTERNAL ASSERT FAILED at "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/torch/csrc/jit/ir/ir.cpp":1215, please report a bug to PyTorch. Only prim ops are allowed to not have a registered operator but aten::index_select doesn't have one either. We don't know if this op has side effects.
The above operation failed shape propagation in this context:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/rnn.py", line 21
def apply_permutation(tensor: Tensor, permutation: Tensor, dim: int = 1) -> Tensor:
return tensor.index_select(dim, permutation)
~~~~~~~~~~~~~~~~~~~ <--- HERE
======================================================================
ERROR: test_nn_LSTM (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15026, in test_nn_LSTM
script_out = self.runAndSaveRNG(lambda x: S()(x), (input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_jit.py", line 160, in runAndSaveRNG
results = func(*inputs, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 15026, in <lambda>
script_out = self.runAndSaveRNG(lambda x: S()(x), (input,))[0]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 432, in prof_meth_call
return prof_callable(meth_call, *args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 426, in prof_callable
return callable(*args, **kwargs)
RuntimeError:
kind_.is_prim() INTERNAL ASSERT FAILED at "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/torch/csrc/jit/ir/ir.cpp":1215, please report a bug to PyTorch. Only prim ops are allowed to not have a registered operator but aten::index_select doesn't have one either. We don't know if this op has side effects.
The above operation failed shape propagation in this context:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/rnn.py", line 21
def apply_permutation(tensor: Tensor, permutation: Tensor, dim: int = 1) -> Tensor:
return tensor.index_select(dim, permutation)
~~~~~~~~~~~~~~~~~~~ <--- HERE
======================================================================
ERROR: test_script_pack_padded_sequence (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 9826, in test_script_pack_padded_sequence
scripted_pack_padded_seq = torch.jit.script(pack_padded_pad_packed_script)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
RuntimeError:
PackedSequence(Tensor data, Tensor batch_sizes, Tensor sorted_indices, Tensor unsorted_indices) -> ():
Expected a value of type 'Tensor (inferred)' for argument 'sorted_indices' but instead found type 'Optional[Tensor]'.
Inferred 'sorted_indices' to be of type 'Tensor' because it was not annotated with an explicit type.
:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 195
data, batch_sizes, sorted_indices, unsorted_indices = _packed_sequence_init_args(
data, batch_sizes, sorted_indices, unsorted_indices)
return PackedSequence(data, batch_sizes, sorted_indices, unsorted_indices)
~~~~~~~~~~~~~~ <--- HERE
'_packed_sequence_init' is being compiled since it was called from 'pack_padded_sequence'
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 261
data, batch_sizes = \
_VF._pack_padded_sequence(input, lengths, batch_first)
return _packed_sequence_init(data, batch_sizes, sorted_indices, None)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'pack_padded_sequence' is being compiled since it was called from 'pack_padded_pad_packed_script'
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 9812
def pack_padded_pad_packed_script(x, seq_lens):
x = pack_padded_sequence(x, seq_lens)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
x, lengths = pad_packed_sequence(x)
return x, lengths
======================================================================
ERROR: test_script_pad_sequence_pack_sequence (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 9875, in test_script_pad_sequence_pack_sequence
self.checkScript(pack_sequence_func,
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 483, in checkScript
self.checkScript(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 467, in checkScript
cu = torch.jit.CompilationUnit(script, _frames_up=frames_up)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_recursive.py", line 845, in try_compile_fn
return torch.jit.script(fn, _rcb=rcb)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/jit/_script.py", line 1343, in script
fn = torch._C._jit_script_compile(
RuntimeError:
PackedSequence(Tensor data, Tensor batch_sizes, Tensor sorted_indices, Tensor unsorted_indices) -> ():
Expected a value of type 'Tensor (inferred)' for argument 'sorted_indices' but instead found type 'Optional[Tensor]'.
Inferred 'sorted_indices' to be of type 'Tensor' because it was not annotated with an explicit type.
:
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 195
data, batch_sizes, sorted_indices, unsorted_indices = _packed_sequence_init_args(
data, batch_sizes, sorted_indices, unsorted_indices)
return PackedSequence(data, batch_sizes, sorted_indices, unsorted_indices)
~~~~~~~~~~~~~~ <--- HERE
'_packed_sequence_init' is being compiled since it was called from 'pack_padded_sequence'
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 261
data, batch_sizes = \
_VF._pack_padded_sequence(input, lengths, batch_first)
return _packed_sequence_init(data, batch_sizes, sorted_indices, None)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'pack_padded_sequence' is being compiled since it was called from 'pack_sequence'
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/utils/rnn.py", line 482
"""
lengths = torch.as_tensor([v.size(0) for v in sequences])
return pack_padded_sequence(pad_sequence(sequences), lengths, enforce_sorted=enforce_sorted)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'pack_sequence' is being compiled since it was called from 'pack_sequence_func'
File "<string>", line 3
def pack_sequence_func(tensor_list, enforce_sorted=True):
# type: (List[Tensor], bool) -> Tensor
return pad_packed_sequence(pack_sequence(tensor_list, enforce_sorted))[0]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
======================================================================
ERROR: test_torch_tensor_as_tensor (test_jit.TestScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_jit.py", line 7458, in test_torch_tensor_as_tensor
t2 = scope['func']()
File "<string>", line 4, in func
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
FAIL: test_hash_float (jit.test_hash.TestHash)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_hash.py", line 78, in test_hash_float
self.checkScript(fn, (float("nan"), float("nan")))
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 483, in checkScript
self.checkScript(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/jit_utils.py", line 522, in checkScript
self.assertEqual(python_outputs, script_outputs, atol=atol, rtol=rtol)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Booleans mismatch: False is not True
======================================================================
FAIL: test_assign_python_attr (jit.test_type_sharing.TestTypeSharing)
Assigning a new (python-only) attribute should not change type sharing
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 233, in test_assign_python_attr
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5003.M
======================================================================
FAIL: test_basic (jit.test_type_sharing.TestTypeSharing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 50, in test_basic
self.assertSameType(m1, m2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5004.M
======================================================================
FAIL: test_builtin_function_same (jit.test_type_sharing.TestTypeSharing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 300, in test_builtin_function_same
self.assertSameType(c1, c2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.Caller != __torch__.jit.test_type_sharing.___torch_mangle_5006.Caller
======================================================================
FAIL: test_constants (jit.test_type_sharing.TestTypeSharing)
Types should be shared for identical constant values, and different for different constant values
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 90, in test_constants
self.assertSameType(m1, m2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5007.M
======================================================================
FAIL: test_diff_attr_values (jit.test_type_sharing.TestTypeSharing)
Types should be shared even if attribute values differ
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 70, in test_diff_attr_values
self.assertSameType(m1, m2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5008.M
======================================================================
FAIL: test_ignored_fns (jit.test_type_sharing.TestTypeSharing)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 415, in test_ignored_fns
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5009.M
======================================================================
FAIL: test_mutate_attr_value (jit.test_type_sharing.TestTypeSharing)
Mutating the value of an attribute should not change type sharing
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 211, in test_mutate_attr_value
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5016.M
======================================================================
FAIL: test_python_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
Same functions passed in should lead to same types
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 378, in test_python_function_attribute_same
self.assertSameType(fn1_mod, fn2_mod)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5019.M
======================================================================
FAIL: test_script_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
Same functions passed in should lead to same types
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 335, in test_script_function_attribute_same
self.assertSameType(fn1_mod, fn2_mod)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5025.M
======================================================================
FAIL: test_submodules (jit.test_type_sharing.TestTypeSharing)
If submodules differ, the types should differ.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 127, in test_submodules
self.assertSameType(a, b)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.M != __torch__.jit.test_type_sharing.___torch_mangle_5031.M
======================================================================
FAIL: test_type_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing)
Test that types are shared if the exclusion of their
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 587, in test_type_shared_ignored_attributes
self.assertSameType(a_with_linear, a_with_string)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/jit/test_type_sharing.py", line 26, in assertSameType
self.assertEqual(m1._c._type(), m2._c._type())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: __torch__.jit.test_type_sharing.A != __torch__.jit.test_type_sharing.___torch_mangle_5036.A
----------------------------------------------------------------------
Ran 2661 tests in 100.641s
FAILED (failures=12, errors=7, skipped=89, expected failures=7)
test_jit_profiling failed!
test_package
Click to expand
======================================================================
ERROR: test_broken_dependency (test_dependency_api.TestDependencyAPI)
A unpackageable dependency should raise a PackagingError.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 286, in test_broken_dependency
exporter.save_source_string("my_module", "import foo; import bar")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_deny (test_dependency_api.TestDependencyAPI)
Test marking packages as "deny" during export.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 94, in test_deny
exporter.save_source_string("foo", "import package_a.subpackage")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_deny_glob (test_dependency_api.TestDependencyAPI)
Test marking packages as "deny" using globs instead of package names.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 104, in test_deny_glob
exporter.save_source_string(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_extern (test_dependency_api.TestDependencyAPI)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 31, in test_extern
he.save_source_string("foo", "import package_a.subpackage; import module_a")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_extern_glob (test_dependency_api.TestDependencyAPI)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 50, in test_extern_glob
he.save_source_string(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_intern_error (test_dependency_api.TestDependencyAPI)
Failure to handle all dependencies should lead to an error.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 239, in test_intern_error
he.save_pickle("obj", "obj.pkl", obj2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_mock (test_dependency_api.TestDependencyAPI)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 120, in test_mock
he.save_source_string("foo", "import package_a.subpackage")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_mock_glob (test_dependency_api.TestDependencyAPI)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 141, in test_mock_glob
he.save_source_string(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_pickle_mocked (test_dependency_api.TestDependencyAPI)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 189, in test_pickle_mocked
he.save_pickle("obj", "obj.pkl", obj2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_pickle_mocked_all (test_dependency_api.TestDependencyAPI)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 202, in test_pickle_mocked_all
he.save_pickle("obj", "obj.pkl", obj2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_repackage_mocked_module (test_dependency_api.TestDependencyAPI)
Re-packaging a package that contains a mocked module should work correctly.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_api.py", line 324, in test_repackage_mocked_module
exporter.save_source_string("foo", "import package_a")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_extern_and_mock_hook (test_dependency_hooks.TestDependencyHooks)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_hooks.py", line 117, in test_extern_and_mock_hook
exporter.save_source_string("foo", "import module_a; import package_a")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_multiple_extern_hooks (test_dependency_hooks.TestDependencyHooks)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_hooks.py", line 54, in test_multiple_extern_hooks
exporter.save_source_string("foo", "import module_a")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_multiple_mock_hooks (test_dependency_hooks.TestDependencyHooks)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_hooks.py", line 74, in test_multiple_mock_hooks
exporter.save_source_string("foo", "import module_a")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_remove_hooks (test_dependency_hooks.TestDependencyHooks)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_hooks.py", line 95, in test_remove_hooks
exporter.save_source_string("foo", "import module_a")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_single_hook (test_dependency_hooks.TestDependencyHooks)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_dependency_hooks.py", line 34, in test_single_hook
exporter.save_source_string("foo", "import module_a")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_importer_access (test_directory_reader.DirectoryReaderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_directory_reader.py", line 219, in test_importer_access
he.save_source_string("main", src, is_package=True)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_package_resource_access (test_directory_reader.DirectoryReaderTest)
Packaged modules should be able to use the importlib.resources API to access
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_directory_reader.py", line 191, in test_package_resource_access
pe.save_source_string("foo.bar", mod_src)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_resource_access_by_path (test_directory_reader.DirectoryReaderTest)
Tests that packaged code can used importlib.resources.path.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_directory_reader.py", line 248, in test_resource_access_by_path
e.save_source_string("main", src, is_package=True)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_unique_module_names (test_mangling.TestMangling)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_mangling.py", line 88, in test_unique_module_names
pe.save_pickle("obj", "obj.pkl", obj2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_dunder_package_present (test_misc.TestMisc)
The attribute '__torch_package__' should be populated on imported modules.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_misc.py", line 239, in test_dunder_package_present
pe.save_pickle("obj", "obj.pkl", obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_exporter_content_lists (test_misc.TestMisc)
Test content list API for PackageExporter's contained modules.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_misc.py", line 167, in test_exporter_content_lists
he.save_pickle("obj", "obj.pkl", package_b.PackageBObject(["a"]))
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
:
======================================================================
ERROR: test_file_structure (test_misc.TestMisc)
Tests package's Directory structure representation of a zip file. Ensures
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_misc.py", line 83, in test_file_structure
he.save_pickle("obj", "obj.pkl", obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_file_structure_has_file (test_misc.TestMisc)
Test Directory's has_file() method.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_misc.py", line 147, in test_file_structure_has_file
he.save_pickle("obj", "obj.pkl", obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_inspect_class (test_misc.TestMisc)
Should be able to retrieve source for a packaged class.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_misc.py", line 215, in test_inspect_class
pe.save_pickle("obj", "obj.pkl", obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
:
======================================================================
ERROR: test_is_from_package (test_misc.TestMisc)
is_from_package should work for objects and modules
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_misc.py", line 193, in test_is_from_package
pe.save_pickle("obj", "obj.pkl", obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_python_version (test_misc.TestMisc)
Tests that the current python version is stored in the package and is available
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_misc.py", line 119, in test_python_version
he.save_pickle("obj", "obj.pkl", obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_std_lib_sys_hackery_checks (test_misc.TestMisc)
The standard library performs sys.module assignment hackery which
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_misc.py", line 279, in test_std_lib_sys_hackery_checks
pe.save_pickle("obj", "obj.pkl", mod)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
:
======================================================================
ERROR: test_package_fx_custom_tracer (test_package_fx.TestPackageFX)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_fx.py", line 152, in test_package_fx_custom_tracer
pe.save_pickle("model", "model.pkl", gm)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 595, in save_pickle
pickler.dump(obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 925, in _persistent_id
*obj.__reduce_package__(self),
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/graph_module.py", line 678, in __reduce_package__
exporter.save_source_string(generated_module_name, module_code)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_package_fx_package (test_package_fx.TestPackageFX)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_fx.py", line 66, in test_package_fx_package
pe.save_pickle("model", "model.pkl", model)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_package_fx_simple (test_package_fx.TestPackageFX)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_fx.py", line 35, in test_package_fx_simple
pe.save_pickle("model", "model.pkl", traced)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 595, in save_pickle
pickler.dump(obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 925, in _persistent_id
*obj.__reduce_package__(self),
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/graph_module.py", line 678, in __reduce_package__
exporter.save_source_string(generated_module_name, module_code)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_package_fx_with_imports (test_package_fx.TestPackageFX)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_fx.py", line 109, in test_package_fx_with_imports
pe.save_pickle("model", "model.pkl", gm)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 595, in save_pickle
pickler.dump(obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 925, in _persistent_id
*obj.__reduce_package__(self),
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/graph_module.py", line 678, in __reduce_package__
exporter.save_source_string(generated_module_name, module_code)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_package_then_fx (test_package_fx.TestPackageFX)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_fx.py", line 50, in test_package_then_fx
pe.save_pickle("model", "model.pkl", model)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_load_shared_scriptmodules (test_package_script.TestPackageScript)
Test loading of single ScriptModule shared by multiple eager
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 496, in test_load_shared_scriptmodules
e.save_pickle("res", "mod.pkl", mod_parent)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_load_shared_tensors (test_package_script.TestPackageScript)
Test tensors shared across eager and ScriptModules on load
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 565, in test_load_shared_tensors
e.save_pickle("res", "mod1.pkl", mod1)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_load_shared_tensors_repackaged (test_package_script.TestPackageScript)
Test tensors shared across eager and ScriptModules on load
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 613, in test_load_shared_tensors_repackaged
e.save_pickle("res", "mod1.pkl", mod1)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_package_interface (test_package_script.TestPackageScript)
Packaging an interface class should work correctly.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 45, in test_package_interface
pe.save_pickle("model", "model.pkl", uses_interface)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_package_script_class (test_package_script.TestPackageScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 110, in test_package_script_class
pe.save_module(fake.__name__)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 503, in save_module
self._intern_module(module_name, dependencies)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 559, in _intern_module
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
:
======================================================================
ERROR: test_package_script_class_referencing_self (test_package_script.TestPackageScript)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 135, in test_package_script_class_referencing_self
exporter.save_pickle("obj", "obj.pkl", obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_save_eager_mods_sharing_scriptmodule (test_package_script.TestPackageScript)
Test saving of single ScriptModule shared by multiple
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 466, in test_save_eager_mods_sharing_scriptmodule
e.save_pickle("res", "mod1.pkl", mod1)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_save_shared_tensors (test_package_script.TestPackageScript)
Test tensors shared across eager and ScriptModules are serialized once.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 521, in test_save_shared_tensors
e.save_pickle("res", "tensor", shared_tensor)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_saving_and_scripting_packaged_mod (test_package_script.TestPackageScript)
Test scripting a module loaded from a package
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 660, in test_saving_and_scripting_packaged_mod
e.save_pickle("model", "model.pkl", orig_mod)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_tensor_sharing_pickle (test_package_script.TestPackageScript)
Test that saving a ScriptModule and a separately saving a tensor
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_package_script.py", line 780, in test_tensor_sharing_pickle
exporter.save_pickle("model", "input.pkl", original_tensor)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_repackage_import_indirectly_via_parent_module (test_repackage.TestRepackage)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_repackage.py", line 30, in test_repackage_import_indirectly_via_parent_module
pe.save_pickle("default", "model.py", model_a)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_importer_access (test_resources.TestResources)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_resources.py", line 118, in test_importer_access
he.save_source_string("main", src, is_package=True)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_package_resource_access (test_resources.TestResources)
Packaged modules should be able to use the importlib.resources API to access
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_resources.py", line 95, in test_package_resource_access
pe.save_source_string("foo.bar", mod_src)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_resource_access_by_path (test_resources.TestResources)
Tests that packaged code can used importlib.resources.path.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_resources.py", line 142, in test_resource_access_by_path
he.save_source_string("main", src, is_package=True)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_dunder_imports (test_save_load.TestSaveLoad)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_save_load.py", line 89, in test_dunder_imports
he.save_pickle("res", "obj.pkl", obj)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_exporting_mismatched_code (test_save_load.TestSaveLoad)
If an object with the same qualified name is loaded from different
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_save_load.py", line 184, in test_exporting_mismatched_code
pe.save_pickle("obj", "obj.pkl", obj2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_pickle (test_save_load.TestSaveLoad)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_save_load.py", line 151, in test_pickle
he.save_pickle("obj", "obj.pkl", obj2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_save_imported_module (test_save_load.TestSaveLoad)
Saving a module that came from another PackageImporter should work.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_save_load.py", line 225, in test_save_imported_module
exporter.save_pickle("model", "model.pkl", obj2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_saving_source (test_save_load.TestSaveLoad)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_save_load.py", line 33, in test_saving_source
he.save_source_file("foodir", str(packaging_directory / "package_a"))
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 287, in save_source_file
self.save_source_string(*item)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
ERROR: test_saving_string (test_save_load.TestSaveLoad)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/package/test_save_load.py", line 53, in test_saving_string
he.save_source_string("my_mod", src)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 381, in save_source_string
self.add_dependency(dep)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 459, in add_dependency
if self._can_implicitly_extern(module_name):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
----------------------------------------------------------------------
Ran 131 tests in 1.575s
FAILED (errors=53, skipped=6)
test_package failed!
Analysis of the failing tests (part 4)
test_quantization
Click to expand
======================================================================
ERROR: test_histogram_observer_against_reference (quantization.core.test_workflow_module.TestHistogramObserver)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/core.py", line 724, in _execute_once_for_engine
result = self.execute_once(data)
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/core.py", line 662, in execute_once
result = self.test_runner(data, run)
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/executors.py", line 47, in default_new_style_executor
return function(data)
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/core.py", line 658, in run
return test(*args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_workflow_module.py", line 713, in test_histogram_observer_against_reference
self.assertEqual(ref_qparams, my_qparams)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Tensor-likes are not close!
Mismatched elements: 1 / 1 (100.0%)
Greatest absolute difference: 0.00035736337304115295 at index (0,) (up to 1e-05 allowed)
Greatest relative difference: 0.0059641752820562685 at index (0,) (up to 1.3e-06 allowed)
The failure occurred for item [0]
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_workflow_module.py", line 696, in test_histogram_observer_against_reference
bins=st.sampled_from([256, 512, 1024, 2048]),
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/core.py", line 1235, in wrapped_test
raise the_error_hypothesis_found
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/core.py", line 905, in __flaky
raise Flaky(message) from cause
hypothesis.errors.Flaky: Hypothesis test_histogram_observer_against_reference(self=<quantization.core.test_workflow_module.TestHistogramObserver testMethod=test_histogram_observer_against_reference>, N=1000, bins=512, dtype=torch.qint8, qscheme=torch.per_tensor_affine, reduce_range=True) produces unreliable results: Falsified on the first call but did not on a subsequent one
======================================================================
ERROR: test_quantized_rnn (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
Test dynamic quantization, scriptability and serialization for dynamic quantized lstm modules on int8 and fp16
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/eager/test_quantize_eager_ptq.py", line 1276, in test_quantized_rnn
dtype=st.sampled_from([torch.qint8, torch.float16]))
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/core.py", line 1235, in wrapped_test
raise the_error_hypothesis_found
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/eager/test_quantize_eager_ptq.py", line 1330, in test_quantized_rnn
scripted(packed_input)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 432, in prof_meth_call
return prof_callable(meth_call, *args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 426, in prof_callable
return callable(*args, **kwargs)
RuntimeError: The following operation failed in the TorchScript interpreter.
Traceback of TorchScript (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/eager/test_quantize_eager_ptq.py", line 1314, in forward
def forward(self, x: PackedSequence) -> Tuple[PackedSequence, Tuple[torch.Tensor, torch.Tensor]]:
return self.cell(x)
~~~~~~~~~ <--- HERE
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/dynamic/modules/rnn.py", line 455, in forward_packed
output = PackedSequence(output_, batch_sizes,
sorted_indices, unsorted_indices)
return output, self.permute_hidden(hidden, unsorted_indices)
~~~~~~~~~~~~~~~~~~~ <--- HERE
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/dynamic/modules/rnn.py", line 463, in permute_hidden
if permutation is None:
return hx
return apply_permutation(hx[0], permutation), apply_permutation(hx[1], permutation)
~~~~~~~~~~~~~~~~~ <--- HERE
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/dynamic/modules/rnn.py", line 12, in apply_permutation
def apply_permutation(tensor: Tensor, permutation: Tensor, dim: int = 1) -> Tensor:
return tensor.index_select(dim, permutation)
~~~~~~~~~~~~~~~~~~~ <--- HERE
RuntimeError: Expected a proper Tensor but got None (or an undefined Tensor in C++) for argument #2 'index'
======================================================================
ERROR: test_conv_bn (quantization.jit.test_quantize_jit.TestQuantizeJit)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_quantized.py", line 172, in test_fn
qfunction(*args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/jit/test_quantize_jit.py", line 3747, in test_conv_bn
model_script = quantize_jit(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/ao/quantization/quantize_jit.py", line 172, in quantize_jit
return _quantize_jit(model, qconfig_dict, run_fn, run_args, inplace, debug, quant_type=QuantType.STATIC)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/ao/quantization/quantize_jit.py", line 113, in _quantize_jit
model = prepare_jit(model, qconfig_dict, inplace)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/ao/quantization/quantize_jit.py", line 67, in prepare_jit
return _prepare_jit(model, qconfig_dict, inplace, quant_type=QuantType.STATIC)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/ao/quantization/quantize_jit.py", line 53, in _prepare_jit
model = fuse_conv_bn_jit(model, inplace)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/ao/quantization/quantize_jit.py", line 40, in fuse_conv_bn_jit
model_c = torch._C._jit_pass_fold_convbn(model_c)
RuntimeError: Expected a value of type 'NoneType' for field 'bias', but found 'Tensor'
======================================================================
ERROR: test_foldbn_complex_cases (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/jit/test_quantize_jit.py", line 376, in test_foldbn_complex_cases
scripted_or_traced = fuse_conv_bn_jit(scripted_or_traced)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/ao/quantization/quantize_jit.py", line 40, in fuse_conv_bn_jit
model_c = torch._C._jit_pass_fold_convbn(model_c)
RuntimeError: Expected a value of type 'NoneType' for field 'bias', but found 'Tensor'
======================================================================
ERROR: test_foldbn_shared_classtype (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/jit/test_quantize_jit.py", line 292, in test_foldbn_shared_classtype
folded = fuse_conv_bn_jit(scripted_or_traced)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/ao/quantization/quantize_jit.py", line 40, in fuse_conv_bn_jit
model_c = torch._C._jit_pass_fold_convbn(model_c)
RuntimeError: Expected a value of type 'NoneType' for field 'bias', but found 'Tensor'
======================================================================
ERROR: test_foldbn_trivial_nobias (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/jit/test_quantize_jit.py", line 205, in test_foldbn_trivial_nobias
scripted_or_traced = fuse_conv_bn_jit(scripted_or_traced)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/ao/quantization/quantize_jit.py", line 40, in fuse_conv_bn_jit
model_c = torch._C._jit_pass_fold_convbn(model_c)
RuntimeError: Expected a value of type 'NoneType' for field 'bias', but found 'Tensor'
======================================================================
ERROR: test_grid_sample (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_functional.py", line 225, in test_grid_sample
C=st.integers(1, 10),
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/core.py", line 1235, in wrapped_test
raise the_error_hypothesis_found
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_functional.py", line 234, in test_grid_sample
X_q = torch.quantize_per_tensor(X, scale=scale, zero_point=zero_point, dtype=torch.quint8)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_advanced_indexing (quantization.core.test_quantized_op.TestQuantizedOps)
Verifies that the x[:, [0], :, :] syntax works for quantized tensors.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 2650, in test_advanced_indexing
x_q = torch.quantize_per_tensor(
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_channel_shuffle (quantization.core.test_quantized_op.TestQuantizedOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 1240, in test_channel_shuffle
min_side=2, max_side=32, max_numel=10**5),
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/core.py", line 1235, in wrapped_test
raise the_error_hypothesis_found
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 1253, in test_channel_shuffle
a_ref = torch.quantize_per_tensor(a_out, scale=scale,
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_custom_module_lstm (quantization.core.test_quantized_op.TestQuantizedOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_quantized.py", line 172, in test_fn
qfunction(*args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 2741, in test_custom_module_lstm
y_ref = lstm(x)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/container.py", line 139, in forward
input = module(input)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/rnn.py", line 769, in forward
result = _VF.lstm(input, hx, self._flat_weights, self.bias, self.num_layers,
RuntimeError: expected scalar type Float but found Double
======================================================================
ERROR: test_custom_module_multi_head_attention (quantization.core.test_quantized_op.TestQuantizedOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_quantized.py", line 172, in test_fn
qfunction(*args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 2866, in test_custom_module_multi_head_attention
y = mha_prepared(*fp_data)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 2791, in forward
return self.layer(query, key, value, key_padding_mask, need_weights, attn_mask)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantizable/modules/activation.py", line 305, in forward
return self._forward_impl(query, key, value, key_padding_mask,
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantizable/modules/activation.py", line 336, in _forward_impl
q = self.linear_Q(query)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1148, in _call_impl
result = forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
RuntimeError: expected scalar type Float but found Double
======================================================================
ERROR: test_leaky_relu (quantization.core.test_quantized_op.TestQuantizedOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 379, in test_leaky_relu
qX = torch.quantize_per_tensor(X, scale=scale, zero_point=zero_point,
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_qadd_broadcast (quantization.core.test_quantized_op.TestQuantizedOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 1221, in test_qadd_broadcast
qA = torch.quantize_per_tensor(A, 0.02, 0, torch.quint8)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_qgelu (quantization.core.test_quantized_op.TestQuantizedOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 457, in test_qgelu
qX = torch.quantize_per_tensor(X, scale=scale, zero_point=zero_point,
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_qmul_broadcast (quantization.core.test_quantized_op.TestQuantizedOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 1205, in test_qmul_broadcast
qA = torch.quantize_per_tensor(A, scale=scale_A, zero_point=zero_point_A,
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_qrelu6 (quantization.core.test_quantized_op.TestQuantizedOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 277, in test_qrelu6
self._test_activation_function(X, 'relu6', relu6_test_configs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 192, in _test_activation_function
qX = torch.quantize_per_tensor(X, scale=scale, zero_point=zero_point,
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_quantized_mean_qnnpack (quantization.core.test_quantized_op.TestQuantizedOps)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_quantization.py", line 295, in wrapper
fn(*args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 2158, in test_quantized_mean_qnnpack
@given(keep=st.booleans())
File "/sw/arch/RHEL8/EB_production/2022/software/hypothesis/6.46.7-GCCcore-11.3.0/lib/python3.10/site-packages/hypothesis/core.py", line 1235, in wrapped_test
raise the_error_hypothesis_found
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_op.py", line 2169, in test_quantized_mean_qnnpack
XQ = torch.quantize_per_tensor(X, scale=0.2, zero_point=0, dtype=torch.quint8)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_compare_per_channel_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 591, in test_compare_per_channel_device_numerics
qr = torch.quantize_per_channel(r, scales, zero_points, axis, dtype)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_compare_per_tensor_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 565, in test_compare_per_tensor_device_numerics
qtr = torch.quantize_per_tensor(r, scale, zero_point, dtype)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_per_channel_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 189, in test_per_channel_qtensor_to_memory_format
qx = torch.quantize_per_channel(x, scales=scales, zero_points=zero_points, dtype=dtype, axis=axis)
RuntimeError: quantize_tensor_per_channel_affine expects a Float Tensor, got Double
======================================================================
ERROR: test_per_tensor_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 153, in test_per_tensor_qtensor_to_memory_format
qx = torch.quantize_per_tensor(x, scale=scale, zero_point=zero_point, dtype=dtype)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_qtensor_channel_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 317, in test_qtensor_channel_float_assignment
qt1 = torch.quantize_per_channel(t1, scales=torch.tensor(scales),
RuntimeError: quantize_tensor_per_channel_affine expects a Float Tensor, got Double
======================================================================
ERROR: test_qtensor_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 366, in test_qtensor_float_assignment
qr[0] = torch.Tensor([11.3]).to(device=device) # float assignment
RuntimeError: Quantized copy only works with kFloat as source Tensor
======================================================================
ERROR: test_qtensor_index_select_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 964, in test_qtensor_index_select_cpu
self._test_qtensor_index_select('cpu')
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 976, in _test_qtensor_index_select
x_selected_quantized = torch.quantize_per_tensor(x_selected, scale, zp, quant_type)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_qtensor_index_select_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 961, in test_qtensor_index_select_cuda
self._test_qtensor_index_select('cuda')
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 976, in _test_qtensor_index_select
x_selected_quantized = torch.quantize_per_tensor(x_selected, scale, zp, quant_type)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_qtensor_permute (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 792, in test_qtensor_permute
qx = torch.quantize_per_tensor(x, 1.0, 0, dtype)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_qtensor_unsqueeze (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 1097, in test_qtensor_unsqueeze
qx = torch.quantize_per_tensor(x, scale=1.0, zero_point=0, dtype=torch.quint8)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_quant_pin_memory (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 1182, in test_quant_pin_memory
x_q = torch.quantize_per_tensor(x, 1, 0, torch.quint8)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_rnn (quantization.core.test_quantized_module.TestReferenceQuantizedModule)
Checks the rnn reference quantized modules has correct numerics
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 1590, in test_rnn
weight = self._quant_dequant_weight(getattr(fp32_rnn, wn), weight_qparams)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 1469, in _quant_dequant_weight
weight = torch.quantize_per_tensor(weight, scale, zero_point, dtype)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_rnn_cell (quantization.core.test_quantized_module.TestReferenceQuantizedModule)
Checks the rnn cell reference quantized modules has correct numerics
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 1532, in test_rnn_cell
ref_res = ref_cell(x, state[rnn_type])
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/_reference/modules/rnn.py", line 193, in forward
self.get_weight_ih(), self.get_weight_hh(),
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/_reference/modules/rnn.py", line 92, in get_weight_ih
return get_quantize_and_dequantized_weight(self, "weight_ih")
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/_reference/modules/rnn.py", line 35, in get_quantize_and_dequantized_weight
weight = _quantize_and_dequantize_weight(*params)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/_reference/modules/utils.py", line 128, in _quantize_and_dequantize_weight
weight_quant = _quantize_weight(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/_reference/modules/utils.py", line 104, in _quantize_weight
weight = torch.quantize_per_tensor(weight, weight_scale, weight_zero_point, weight_dtype)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_sparse (quantization.core.test_quantized_module.TestReferenceQuantizedModule)
Embedding and EmbeddingBag
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 1657, in test_sparse
fp32_embedding.weight = torch.nn.Parameter(self._quant_dequant_weight(fp32_embedding.weight, weight_qparams))
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 1469, in _quant_dequant_weight
weight = torch.quantize_per_tensor(weight, scale, zero_point, dtype)
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_linear_relu_package_quantization_transforms (quantization.bc.test_backward_compatibility.TestSerialization)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_quantization.py", line 279, in wrapper
fn(*args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/bc/test_backward_compatibility.py", line 381, in test_linear_relu_package_quantization_transforms
self._test_package(m, input_size=(1, 1, 4, 4), generate=False)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/bc/test_backward_compatibility.py", line 212, in _test_package
mq = _do_quant_transforms(m, input_tensor)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/bc/test_backward_compatibility.py", line 177, in _do_quant_transforms
mp(input_tensor)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/graph_module.py", line 652, in call_wrapped
return self._wrapped_call(self, *args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/graph_module.py", line 277, in __call__
raise e
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/fx/graph_module.py", line 267, in __call__
return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc]
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "<eval_with_key>.12530", line 5, in forward
activation_post_process_0 = self.activation_post_process_0(x); x = None
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/ao/quantization/observer.py", line 1087, in forward
torch.histc(
RuntimeError: torch.histogram: input tensor and hist tensor should have the same dtype, but got input float and hist double
======================================================================
ERROR: test_batch_norm2d (quantization.core.test_quantized_module.TestStaticQuantizedModule)
Tests the correctness of the batchnorm2d module.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 693, in test_batch_norm2d
y_ref = float_mod(x)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py", line 168, in forward
return F.batch_norm(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/functional.py", line 2438, in batch_norm
return torch.batch_norm(
RuntimeError: mixed dtype (CPU): expect parameter to have scalar type of Float
======================================================================
ERROR: test_batch_norm2d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 750, in test_batch_norm2d_serialization
self._test_batch_norm_serialization(_get_model, data1, data2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 727, in _test_batch_norm_serialization
ref1 = mq1(data2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/container.py", line 139, in forward
input = module(input)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/modules/__init__.py", line 53, in forward
return torch.quantize_per_tensor(X, float(self.scale),
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_batch_norm3d (quantization.core.test_quantized_module.TestStaticQuantizedModule)
Tests the correctness of the batchnorm3d module.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 711, in test_batch_norm3d
y_ref = float_mod(x)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py", line 168, in forward
return F.batch_norm(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/functional.py", line 2438, in batch_norm
return torch.batch_norm(
RuntimeError: mixed dtype (CPU): expect parameter to have scalar type of Float
======================================================================
ERROR: test_batch_norm3d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 763, in test_batch_norm3d_serialization
self._test_batch_norm_serialization(_get_model, data1, data2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 727, in _test_batch_norm_serialization
ref1 = mq1(data2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/container.py", line 139, in forward
input = module(input)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/modules/__init__.py", line 53, in forward
return torch.quantize_per_tensor(X, float(self.scale),
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_dropout_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 681, in test_dropout_serialization
self._test_dropout_serialization(_get_model, data1, data2)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 658, in _test_dropout_serialization
ref1 = mq1(data2)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/container.py", line 139, in forward
input = module(input)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/quantized/modules/__init__.py", line 53, in forward
return torch.quantize_per_tensor(X, float(self.scale),
RuntimeError: Quantize only works on Float Tensor, got Double
======================================================================
ERROR: test_group_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule)
Tests the correctness of the groupnorm module.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 815, in test_group_norm
dqY_ref = float_mod(dqX)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/normalization.py", line 272, in forward
return F.group_norm(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/functional.py", line 2516, in group_norm
return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: expected scalar type Float but found Double
======================================================================
ERROR: test_instance_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule)
Tests the correctness of the instancenorm{n}d modules.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 854, in test_instance_norm
dqY_ref = float_mod(dqX)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py", line 72, in forward
return self._apply_instance_norm(input)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py", line 32, in _apply_instance_norm
return F.instance_norm(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/functional.py", line 2483, in instance_norm
return torch.instance_norm(
RuntimeError: mixed dtype (CPU): expect parameter to have scalar type of Float
======================================================================
ERROR: test_layer_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule)
Tests the correctness of the layernorm module.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 784, in test_layer_norm
dqY_ref = float_mod(dqX)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/modules/normalization.py", line 189, in forward
return F.layer_norm(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/nn/functional.py", line 2503, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: mixed dtype (CPU): expect parameter to have scalar type of Float
======================================================================
ERROR: test_linear_api (quantization.core.test_quantized_module.TestStaticQuantizedModule)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_quantized.py", line 172, in test_fn
qfunction(*args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 79, in test_linear_api
self._test_linear_api_impl(
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_module.py", line 188, in _test_linear_api_impl
pe.save_pickle("module", "qlinear.pkl", qlinear)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 665, in save_pickle
_check_mocked_error(module, field)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 618, in _check_mocked_error
if self._can_implicitly_extern(module):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/package_exporter.py", line 1069, in _can_implicitly_extern
and is_stdlib_module(top_level_package_name)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 15, in is_stdlib_module
return base_module in _get_stdlib_modules()
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/package/_stdlib.py", line 29, in _get_stdlib_modules
raise RuntimeError(f"Unsupported Python version: {sys.version_info}")
RuntimeError: Unsupported Python version: sys.version_info(major=3, minor=10, micro=4, releaselevel='final', serial=0)
======================================================================
FAIL: test_fp16_saturate_op (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 1195, in test_fp16_saturate_op
self.assertEqual(y, ref)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float64.
======================================================================
FAIL: test_per_channel_qtensor_creation_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 417, in test_per_channel_qtensor_creation_cpu
self._test_per_channel_qtensor_creation(torch.device('cpu'))
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 449, in _test_per_channel_qtensor_creation
self.assertEqual(zero_points, q.q_per_channel_zero_points())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: The values for attribute 'dtype' do not match: torch.float64 != torch.float32.
======================================================================
FAIL: test_per_channel_qtensor_creation_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 436, in test_per_channel_qtensor_creation_cuda
self._test_per_channel_qtensor_creation(torch.device('cuda'))
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/quantization/core/test_quantized_tensor.py", line 449, in _test_per_channel_qtensor_creation
self.assertEqual(zero_points, q.q_per_channel_zero_points())
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: The values for attribute 'dtype' do not match: torch.float64 != torch.float32.
----------------------------------------------------------------------
Ran 877 tests in 298.276s
FAILED (failures=3, errors=41, skipped=47)
test_quantization failed!
test_reductions
Click to expand
======================================================================
ERROR: test_dim_arg_reduction_scalar_cpu_int16 (__main__.TestReductionsCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_te
st
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dim_arg_reduction_scalar_cpu_int32 (__main__.TestReductionsCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dim_arg_reduction_scalar_cpu_int64 (__main__.TestReductionsCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dim_arg_reduction_scalar_cpu_int8 (__main__.TestReductionsCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dim_arg_reduction_scalar_cpu_uint8 (__main__.TestReductionsCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dim_arg_reduction_scalar_cuda_int16 (__main__.TestReductionsCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dim_arg_reduction_scalar_cuda_int32 (__main__.TestReductionsCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dim_arg_reduction_scalar_cuda_int64 (__main__.TestReductionsCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dim_arg_reduction_scalar_cuda_int8 (__main__.TestReductionsCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dim_arg_reduction_scalar_cuda_uint8 (__main__.TestReductionsCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 1865, in test_dim_arg_reduction_scalar
x = torch.tensor(example, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_mode_large_cuda (__main__.TestReductionsCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 390, in instantiated_test
raise rte
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 943, in only_fn
return fn(slf, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 884, in test_mode_large
testset_for_shape((10, 2048), 10)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 876, in testset_for_shape
self._test_mode_intervals(shape, [(i, d - i)], device)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_reductions.py", line 863, in _test_mode_intervals
values, indices = torch.mode(x, -1, False)
RuntimeError: CUDA error: too many resources requested for launch
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
----------------------------------------------------------------------
Ran 5854 tests in 165.505s
FAILED (errors=11, skipped=218, expected failures=98)
test_reductions failed!
test_sort_and_select
Click to expand
======================================================================
ERROR: test_unique_dim_cpu (__main__.TestSortAndSelectCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_te
st
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_sort_and_select.py", line 670, in test_unique_dim
run_test(device, torch.long)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_sort_and_select.py", line 416, in run_test
x = torch.tensor([[[1., 1.],
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_unique_dim_cuda (__main__.TestSortAndSelectCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_te
st
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_sort_and_select.py", line 670, in test_unique_dim
run_test(device, torch.long)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_sort_and_select.py", line 416, in run_test
x = torch.tensor([[[1., 1.],
TypeError: 'float' object cannot be interpreted as an integer
----------------------------------------------------------------------
Ran 185 tests in 8.157s
FAILED (errors=2, skipped=15)
test_sort_and_select failed!
test_sparse
Click to expand
======================================================================
ERROR: test_factory_type_inference_cpu_int64 (__main__.TestSparseCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 943, in only_fn
return fn(slf, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_sparse.py", line 2558, in test_factory_type_inference
t = torch.sparse_coo_tensor(torch.tensor(([0], [2])), torch.tensor([1.], dtype=dtype))
TypeError: 'float' object cannot be interpreted as an integer
----------------------------------------------------------------------
Ran 2538 tests in 39.961s
FAILED (errors=1, skipped=272)
test_sparse failed!
test_tensor_creation_ops
Click to expand
======================================================================
ERROR: test_dstack_cpu_int16 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_te
st
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dstack_cpu_int32 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dstack_cpu_int64 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dstack_cpu_int8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dstack_cpu_uint8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cpu_int16 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cpu_int32 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cpu_int64 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cpu_int8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cpu_uint8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cpu_int16 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cpu_int32 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cpu_int64 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cpu_int8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cpu_uint8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cpu_int16 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cpu_int32 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cpu_int64 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cpu_int8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cpu_uint8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cpu_int16 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cpu_int32 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cpu_int64 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cpu_int8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cpu_uint8 (__main__.TestTensorCreationCPU)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dstack_cuda_int16 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dstack_cuda_int32 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dstack_cuda_int64 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dstack_cuda_int8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_dstack_cuda_uint8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1057, in test_dstack
self._test_special_stacks(2, 3, torch.dstack, np.dstack, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cuda_int16 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cuda_int32 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cuda_int64 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cuda_int8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_hstack_column_stack_cuda_uint8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1023, in test_hstack_column_stack
self._test_special_stacks(1, 1, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cuda_int16 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cuda_int32 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cuda_int64 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cuda_int8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_logspace_cuda_uint8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 3151, in test_logspace
self.assertEqual(torch.tensor([2. ** (i / 8.) for i in range(49)], device=device, dtype=dtype),
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cuda_int16 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cuda_int32 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cuda_int64 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cuda_int8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vander_types_cuda_uint8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 138, in test_vander_types
pt_x = torch.tensor(x, device=device, dtype=dtype)
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cuda_int16 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cuda_int32 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cuda_int64 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cuda_int8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
======================================================================
ERROR: test_vstack_row_stack_cuda_uint8 (__main__.TestTensorCreationCUDA)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1808, in wrapper
method(*args, **kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 377, in instantiated_test
result = test(self, **param_kwargs)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 979, in only_fn
return fn(self, *args, **kwargs)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 1042, in test_vstack_row_stack
self._test_special_stacks(0, 2, torch_op, np_op, device, dtype)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in _test_special_stacks
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_tensor_creation_ops.py", line 976, in <listcomp>
input_t = [torch.tensor(random.uniform(0, 10), device=device, dtype=dtype) for i in range(num_tensors)]
TypeError: 'float' object cannot be interpreted as an integer
----------------------------------------------------------------------
Ran 1008 tests in 83.874s
FAILED (errors=50, skipped=141)
test_tensor_creation_ops failed!
test_torch
Click to expand
======================================================================
FAIL: test_to (__main__.TestTorch)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_torch.py", line 7699, in test_to
self._test_to_with_layout(torch.sparse_csr)
File "/gpfs/scratch1/shared/casparl/PyTorch/1.12.0/foss-2022a-CUDA-11.7.0/pytorch/test/test_torch.py", line 7687, in _test_to_with_layout
self.assertEqual(b.device, a.to(cuda, non_blocking=non_blocking).device)
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2219, in assertEqual
assert_equal(
File "/home/casparl/.local/easybuild/RHEL8/2022/software/PyTorch/1.12.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1095, in assert_equal
raise error_metas[0].to_error(msg)
AssertionError: Object comparison failed: device(type='cuda', index=1) != device(type='cuda', index=0)
----------------------------------------------------------------------
Ran 1556 tests in 87.645s
FAILED (failures=1, skipped=78)
[TORCH_VITAL] Dataloader.enabled True
[TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING
[TORCH_VITAL] CUDA.used true
test_torch failed!
Trying this with eb --read-only-installdir -l --from-pr 15924 --robot I get a
== 2022-09-19 14:26:03,636 robot.py:317 WARNING Missing dependencies (EasyBuild module names): magma/2.6.2-foss-2022a-CUDA-11.7.0
@surak it needs https://github.com/easybuilders/easybuild-easyconfigs/pull/15921 , which hasn't been merged yet. Sorry, I lost sight of that a bit, there were two requested changes there, which I fixed just now. If you want, you can also just see if you consider that ready to be merged, in which case you don't need to pull in 15921 also...
@surak it needs #15921 , which hasn't been merged yet. Sorry, I lost sight of that a bit, there were two requested changes there, which I fixed just now. If you want, you can also just see if you consider that ready to be merged, in which case you don't need to pull in
15921also...
I would love to, but I get bitten by the lib curses bug and can't do anything anymore :-(
I guess that means you need to test https://github.com/easybuilders/easybuild-easyconfigs/pull/16270 in order to test https://github.com/easybuilders/easybuild-easyconfigs/pull/15921 in order to test this PR :P What a mess...
I guess that means you need to test #16270 in order to test #15921 in order to test this PR :P
I just applied that manually and reinstalled all ncurses I had on the system, as this mr fails in an even weirder way:
== FAILED: Installation ended unsuccessfully (build directory: /easybuild/2020/build/FCC/4.5.0/system-system): build failed (first 300 chars):
Module command '/usr/lmod/lmod/libexec/lmod python load lang/tcsds-1.2.31' failed with exit code 1; stderr: Lmod has detected the following error: The following module(s) are unknown: "lang/tcsds-1.2.31"
In any case, this one pass for me, with a dual processor (48 cores, 92 smt) AMD EPYC with 4x RTX 3090! My github seems broken, gives me a 404 for the upload test report.
In my opinion, this PR is ready to be merged, so if anyone wants to formally review: please do.
Regarding the failing tests: as we know from previous EasyConfigs, the PyTorch test suite contains many tests that fail outside of their own CI environment. 99 out of 100 times we've investigated such issues before, it was simply the test that was broken. We used to patch these, but that's so much work that it delays the roll-out of new PyTorch EasyConfigs a lot. That's why nowadays, we accept a number of failing tests, as long as it's "reasonable". In my opinion, the current set of test failures is reasonable.
I've looked through the failing tests. One of the common failure patterns we see now is
TypeError: '<sometype>' object cannot be interpreted as <someothertype>
These are the result of changes in implicit type conversion in Python 3.10, something that torch.tensor relies on. E.g.:
torch.tensor([0.5,1], dtype=torch.int8)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: 'float' object cannot be interpreted as an integer
No longer works. This has broken a large amount of the tests, and will probably also break some existing PyTorch code. It is however not something we can/should fix on the EasyBuild side: the official PyTorch wheel for Python 3.10 shows exactly the same behaviour. It should simply be considered a known issue in PyTorch 1.12.0 combined with Python 3.10.
More info on this, see https://github.com/pytorch/pytorch/issues/69316 and https://github.com/pytorch/pytorch/issues/72282
Test report by @sebastianachilles SUCCESS Build succeeded for 0 out of 0 (1 easyconfigs in total) bdw-opensuse-154 - Linux openSUSE Leap 15.4, x86_64, Intel(R) Core(TM) i7-6900K CPU @ 3.20GHz (broadwell), 2 x NVIDIA NVIDIA GeForce GTX 1060 6GB, 510.85.02, Python 3.6.15 See https://gist.github.com/ee31029751c9d34046cac12d07abb767 for a full test report.
@casparvl: Request for testing this PR well received on login1
PR test command 'EB_PR=15924 EB_ARGS= /opt/software/slurm/bin/sbatch --job-name test_PR_15924 --ntasks=4 ~/boegelbot/eb_from_pr_upload_generoso.sh' executed!
- exit code: 0
- output:
Submitted batch job 9177
Test results coming soon (I hope)...
- notification for comment with ID 1256242298 processed
Message to humans: this is just bookkeeping information for me, it is of no use to you (unless you think I have a bug, which I don't).
Test report by @sebastianachilles SUCCESS Build succeeded for 1 out of 1 (1 easyconfigs in total) bdw-opensuse-154 - Linux openSUSE Leap 15.4, x86_64, Intel(R) Core(TM) i7-6900K CPU @ 3.20GHz (broadwell), 2 x NVIDIA NVIDIA GeForce GTX 1060 6GB, 510.85.02, Python 3.6.15 See https://gist.github.com/cb0d3ab601068c9685b32616c123405a for a full test report.
Test report by @boegelbot SUCCESS Build succeeded for 1 out of 1 (1 easyconfigs in total) cns1 - Linux Rocky Linux 8.5, x86_64, Intel(R) Xeon(R) CPU E5-2667 v3 @ 3.20GHz (haswell), Python 3.6.8 See https://gist.github.com/827a886a59ab073cae73c7ec4bf96de6 for a full test report.
Test report by @sebastianachilles SUCCESS Build succeeded for 1 out of 1 (1 easyconfigs in total) jrc0439 - Linux Rocky Linux 8.6, x86_64, AMD EPYC 7742 64-Core Processor (zen2), 4 x NVIDIA NVIDIA A100-SXM4-40GB, 515.65.01, Python 3.6.8 See https://gist.github.com/bf47b18979df1c69a569d9e0f3e3af93 for a full test report.
@smoors: Request for testing this PR well received on login1
PR test command 'EB_PR=15924 EB_ARGS= /opt/software/slurm/bin/sbatch --job-name test_PR_15924 --ntasks=4 ~/boegelbot/eb_from_pr_upload_generoso.sh' executed!
- exit code: 0
- output:
Submitted batch job 9229
Test results coming soon (I hope)...
- notification for comment with ID 1265050895 processed
Message to humans: this is just bookkeeping information for me, it is of no use to you (unless you think I have a bug, which I don't).
Test report by @boegelbot SUCCESS Build succeeded for 1 out of 1 (1 easyconfigs in total) cns1 - Linux Rocky Linux 8.5, x86_64, Intel(R) Xeon(R) CPU E5-2667 v3 @ 3.20GHz (haswell), Python 3.6.8 See https://gist.github.com/4abee24350f90d1d9fd8e14ac009bc5d for a full test report.
Test report by @casparvl Using easyblocks from PR(s) https://github.com/easybuilders/easybuild-easyblocks/pull/2794 SUCCESS Build succeeded for 1 out of 1 (1 easyconfigs in total) gcn11 - Linux RHEL 8.4, x86_64, Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz, 4 x NVIDIA NVIDIA A100-SXM4-40GB, 515.43.04, Python 3.6.8 See https://gist.github.com/4966264d3ae4f33a2c6dd65b8d29c2c2 for a full test report.
Test report by @casparvl Using easyblocks from PR(s) https://github.com/easybuilders/easybuild-easyblocks/pull/2794 SUCCESS Build succeeded for 1 out of 1 (1 easyconfigs in total) software2.lisa.surfsara.nl - Linux debian 10.13, x86_64, Intel(R) Xeon(R) Bronze 3104 CPU @ 1.70GHz, 4 x NVIDIA NVIDIA TITAN V, 470.103.01, Python 3.7.3 See https://gist.github.com/ac8d42ba59a569a34eeb6b695e2ce1a6 for a full test report.
Test report by @smoors SUCCESS Build succeeded for 1 out of 1 (1 easyconfigs in total) node252.hydra.os - Linux CentOS Linux 7.9.2009, x86_64, Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz (broadwell), 1 x NVIDIA Tesla P100-PCIE-16GB, 515.48.07, Python 2.7.5 See https://gist.github.com/1d72f62458b6db1d16bf12a4cda844cc for a full test report.