Add a trim size flag
This allows us to easily extract subgraphs using the driver directly.
Codecov Report
:white_check_mark: All modified and coverable lines are covered by tests.
Additional details and impacted files
@@ Coverage Diff @@
## develop #3746 +/- ##
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Coverage 92.03% 92.03%
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Files 530 530
Lines 24509 24509
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Hits 22556 22556
Misses 1953 1953
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/AzurePipelines run
Azure Pipelines successfully started running 1 pipeline(s).
| Test | Batch | Rate new 879025 |
Rate old 338e19 |
Diff | Compare |
|---|---|---|---|---|---|
| torchvision-resnet50 | 64 | 3,255.77 | 3,238.59 | 0.53% | :white_check_mark: |
| torchvision-resnet50_fp16 | 64 | 6,935.52 | 6,910.22 | 0.37% | :white_check_mark: |
| torchvision-densenet121 | 32 | 2,456.95 | 2,445.44 | 0.47% | :white_check_mark: |
| torchvision-densenet121_fp16 | 32 | 4,229.44 | 4,221.01 | 0.20% | :white_check_mark: |
| torchvision-inceptionv3 | 32 | 1,629.89 | 1,620.31 | 0.59% | :white_check_mark: |
| torchvision-inceptionv3_fp16 | 32 | 2,725.17 | 2,710.39 | 0.55% | :white_check_mark: |
| cadene-inceptionv4 | 16 | 761.88 | 756.84 | 0.67% | :white_check_mark: |
| cadene-resnext64x4 | 16 | 819.99 | 814.00 | 0.74% | :white_check_mark: |
| slim-mobilenet | 64 | 7,464.95 | 7,440.08 | 0.33% | :white_check_mark: |
| slim-nasnetalarge | 64 | 217.19 | 215.92 | 0.59% | :white_check_mark: |
| slim-resnet50v2 | 64 | 3,351.52 | 3,333.96 | 0.53% | :white_check_mark: |
| bert-mrpc-onnx | 8 | 1,153.66 | 1,143.80 | 0.86% | :white_check_mark: |
| bert-mrpc-tf | 1 | 457.15 | 458.77 | -0.35% | :white_check_mark: |
| pytorch-examples-wlang-gru | 1 | 347.99 | 348.04 | -0.01% | :white_check_mark: |
| pytorch-examples-wlang-lstm | 1 | 498.44 | 480.34 | 3.77% | :high_brightness: |
| torchvision-resnet50_1 | 1 | 817.23 | 820.91 | -0.45% | :white_check_mark: |
| cadene-dpn92_1 | 1 | 433.61 | 431.20 | 0.56% | :white_check_mark: |
| cadene-resnext101_1 | 1 | 393.53 | 391.10 | 0.62% | :white_check_mark: |
| onnx-taau-downsample | 1 | 396.35 | 394.85 | 0.38% | :white_check_mark: |
| dlrm-criteoterabyte | 1 | 32.31 | 32.20 | 0.37% | :white_check_mark: |
| dlrm-criteoterabyte_fp16 | 1 | 51.26 | 51.14 | 0.24% | :white_check_mark: |
| agentmodel | 1 | 10,118.59 | 10,637.43 | -4.88% | :red_circle: |
| unet_fp16 | 2 | 59.55 | 59.34 | 0.35% | :white_check_mark: |
| resnet50v1_fp16 | 1 | 1,080.49 | 1,077.86 | 0.24% | :white_check_mark: |
| resnet50v1_int8 | 1 | 1,043.79 | 1,066.38 | -2.12% | :white_check_mark: |
| bert_base_cased_fp16 | 64 | 1,170.81 | 1,163.06 | 0.67% | :white_check_mark: |
| bert_large_uncased_fp16 | 32 | 357.91 | 356.17 | 0.49% | :white_check_mark: |
| bert_large_fp16 | 1 | 200.67 | 201.14 | -0.23% | :white_check_mark: |
| distilgpt2_fp16 | 16 | 2,239.66 | 2,227.23 | 0.56% | :white_check_mark: |
| yolov5s | 1 | 541.96 | 545.71 | -0.69% | :white_check_mark: |
| tinyllama | 1 | 43.87 | 43.65 | 0.49% | :white_check_mark: |
| vicuna-fastchat | 1 | 45.17 | 44.93 | 0.52% | :white_check_mark: |
| whisper-tiny-encoder | 1 | 421.07 | 419.21 | 0.44% | :white_check_mark: |
| whisper-tiny-decoder | 1 | 412.82 | 411.43 | 0.34% | :white_check_mark: |
| llama2_7b | 1 | nan | nan | nan% | :x: |
| qwen1.5-7b | 1 | 23.55 | 23.47 | 0.37% | :white_check_mark: |
| phi3-3.8b | 1 | 26.66 | 26.54 | 0.46% | :white_check_mark: |
| mask-rcnn | 1 | 12.87 | 12.67 | 1.62% | :white_check_mark: |
| llama3-8b | 1 | 21.74 | 21.67 | 0.34% | :white_check_mark: |
| whisper-large-encoder | 1 | 10.22 | 10.18 | 0.44% | :white_check_mark: |
| whisper-large-decoder | 1 | 100.83 | 100.80 | 0.03% | :white_check_mark: |
| mistral-7b | 1 | 23.75 | 23.66 | 0.38% | :white_check_mark: |
| FLUX.1-schnell | 1 | 908.58 | 921.28 | -1.38% | :white_check_mark: |
| nan | nan | nan | nan | nan% | :x: |
This build is not recommended to merge :red_circle:
:x:bert-mrpc-tf: ERROR - check error output
2025-05-10 01:25:45.811797: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1746858351.125215 163349 gpu_device.cc:2022] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 62973 MB memory: -> device: 0, name: AMD Instinct MI250X/MI250, pci bus id: 0000:b3:00.0
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1746858351.982614 163349 mlir_graph_optimization_pass.cc:401] MLIR V1 optimization pass is not enabled
2025-05-10 01:26:00.354053: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc
2025-05-10 01:26:00.354094: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc
2025-05-10 01:26:00.354149: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc
2025-05-10 01:26:00.354198: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc
2025-05-10 01:26:00.354359: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc
2025-05-10 01:26:00.354417: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc
2025-05-10 01:26:00.354470: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc
2025-05-10 01:26:00.354520: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc
error: Failure when generating HSACO
error: Failure when generating HSACO
error: Failure when generating HSACO
error: Failure when generating HSACO
error: Failure when generating HSACO
error: Failure when generating HSACO
error: Failure when generating HSACO
error: Failure when generating HSACO
2025-05-10 01:26:00.355745: E tensorflow/compiler/mlir/tools/kernel_gen/tf_framework_c_interface.cc:228] INTERNAL: Generating device code failed.
2025-05-10 01:26:00.356841: W tensorflow/core/framework/op_kernel.cc:1829] UNKNOWN: JIT compilation failed.
2025-05-10 01:26:00.356860: I tensorflow/core/framework/local_rendezvous.cc:405] Local rendezvous is aborting with status: UNKNOWN: JIT compilation failed.
[[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]]
2025-05-10 01:26:00.356871: I tensorflow/core/framework/local_rendezvous.cc:405] Local rendezvous is aborting with status: UNKNOWN: JIT compilation failed.
[[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]]
[[import/loss/output/_21]]
2025-05-10 01:26:00.356887: I tensorflow/core/framework/local_rendezvous.cc:424] Local rendezvous recv item cancelled. Key hash: 11217777527359497193
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1407, in _do_call
return fn(*args)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1390, in _run_fn
return self._call_tf_sessionrun(options, feed_dict, fetch_list,
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1483, in _call_tf_sessionrun
return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
(0) UNKNOWN: JIT compilation failed.
[[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]]
[[import/loss/output/_21]]
(1) UNKNOWN: JIT compilation failed.
[[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]]
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 340, in
main()
File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 324, in main
y_out = sess.run(y, feed_dict=tf_dict)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 977, in run
result = self._run(None, fetches, feed_dict, options_ptr,
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1220, in _run
results = self._do_run(handle, final_targets, final_fetches,
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1400, in _do_run
return self._do_call(_run_fn, feeds, fetches, targets, options,
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1426, in _do_call
raise type(e)(node_def, op, message) # pylint: disable=no-value-for-parameter
tensorflow.python.framework.errors_impl.UnknownError: Graph execution error:
Detected at node 'import/bert/embeddings/LayerNorm/moments/SquaredDifference' defined at (most recent call last):
Node: 'import/bert/embeddings/LayerNorm/moments/SquaredDifference'
Detected at node 'import/bert/embeddings/LayerNorm/moments/SquaredDifference' defined at (most recent call last):
Node: 'import/bert/embeddings/LayerNorm/moments/SquaredDifference'
2 root error(s) found.
(0) UNKNOWN: JIT compilation failed.
[[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]]
[[import/loss/output/_21]]
(1) UNKNOWN: JIT compilation failed.
[[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]]
0 successful operations.
0 derived errors ignored.
Original stack trace for 'import/bert/embeddings/LayerNorm/moments/SquaredDifference'::red_circle:unet: FAILED: MIGraphX is not within tolerance - check verbose output
:red_circle:bert_large_uncased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output
:x:llama2_7b: ERROR - check error output
Traceback (most recent call last):
File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 340, in
main()
File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 205, in main
model = migraphx.parse_onnx(model_name, default_dim_value=batch)
RuntimeError: /src/AMDMIGraphX/src/onnx/onnx_parser.cpp:265: parse_from: PARSE_FROM: Failed reading onnx file: /new-saved-models/llama2_7b/decoder_model.onnx:x:qwen1.5-7b: ERROR - check error output
usage: accuracy_checker.py [-h] [--onnx ONNX] [--tf TF] [--provider PROVIDER]
[--batch BATCH] [--fill1] [--fill0] [--fp16]
[--argmax] [--verbose] [--tolerance TOLERANCE]
[--input-dim INPUT_DIM] [--target TARGET]
[--ort-run] [--ort-logging]
[--disable-offload-copy] [--disable-fast-math]
[--exhaustive_tune]
accuracy_checker.py: error: unrecognized arguments: input_ids attention_mask position_ids 1 256 @attention_mask 1 256 @position_ids 1 256:x:phi3-3.8b: ERROR - check error output
usage: accuracy_checker.py [-h] [--onnx ONNX] [--tf TF] [--provider PROVIDER]
[--batch BATCH] [--fill1] [--fill0] [--fp16]
[--argmax] [--verbose] [--tolerance TOLERANCE]
[--input-dim INPUT_DIM] [--target TARGET]
[--ort-run] [--ort-logging]
[--disable-offload-copy] [--disable-fast-math]
[--exhaustive_tune]
accuracy_checker.py: error: unrecognized arguments: input_ids attention_mask position_ids 1 256 @attention_mask 1 256 @position_ids 1 256:x:mask-rcnn: ERROR - check error output
usage: accuracy_checker.py [-h] [--onnx ONNX] [--tf TF] [--provider PROVIDER]
[--batch BATCH] [--fill1] [--fill0] [--fp16]
[--argmax] [--verbose] [--tolerance TOLERANCE]
[--input-dim INPUT_DIM] [--target TARGET]
[--ort-run] [--ort-logging]
[--disable-offload-copy] [--disable-fast-math]
[--exhaustive_tune]
accuracy_checker.py: error: unrecognized arguments: 3 800 800:x:#whisper-large-encoder: ERROR - check error output
Traceback (most recent call last):
File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 340, in
main()
File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 205, in main
model = migraphx.parse_onnx(model_name, default_dim_value=batch)
RuntimeError: /src/AMDMIGraphX/src/include/migraphx/op/convolution.hpp:100: normalize_compute_shape: CONVOLUTION: mismatched channel numbers