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Add a trim size flag

Open pfultz2 opened this issue 11 months ago • 5 comments

This allows us to easily extract subgraphs using the driver directly.

pfultz2 avatar Jan 07 '25 00:01 pfultz2

Codecov Report

:white_check_mark: All modified and coverable lines are covered by tests.

Additional details and impacted files
@@           Coverage Diff            @@
##           develop    #3746   +/-   ##
========================================
  Coverage    92.03%   92.03%           
========================================
  Files          530      530           
  Lines        24509    24509           
========================================
  Hits         22556    22556           
  Misses        1953     1953           
:rocket: New features to boost your workflow:
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codecov[bot] avatar Jan 07 '25 02:01 codecov[bot]

/AzurePipelines run

jayhawk-commits avatar Mar 07 '25 22:03 jayhawk-commits

Azure Pipelines successfully started running 1 pipeline(s).

azure-pipelines[bot] avatar Mar 07 '25 22:03 azure-pipelines[bot]

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:

migraphx-bot avatar May 10 '25 07:05 migraphx-bot


     :white_check_mark: bert-mrpc-onnx: PASSED: MIGraphX meets tolerance
:x:bert-mrpc-tf: ERROR - check error output2025-05-10 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':

     :white_check_mark: pytorch-examples-wlang-gru: PASSED: MIGraphX meets tolerance
     :white_check_mark: pytorch-examples-wlang-lstm: PASSED: MIGraphX meets tolerance
     :white_check_mark: dlrm-criteoterabyte: PASSED: MIGraphX meets tolerance
     :white_check_mark: agentmodel: PASSED: MIGraphX meets tolerance
:red_circle:unet: FAILED: MIGraphX is not within tolerance - check verbose output

     :white_check_mark: resnet50v1: PASSED: MIGraphX meets tolerance
     :white_check_mark: bert_base_cased_fp16: PASSED: MIGraphX meets tolerance
:red_circle:bert_large_uncased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output

     :white_check_mark: bert_large: PASSED: MIGraphX meets tolerance
     :white_check_mark: yolov5s: PASSED: MIGraphX meets tolerance
     :white_check_mark: tinyllama: PASSED: MIGraphX meets tolerance
     :white_check_mark: vicuna-fastchat: PASSED: MIGraphX meets tolerance
     :white_check_mark: whisper-tiny-encoder: PASSED: MIGraphX meets tolerance
     :white_check_mark: whisper-tiny-decoder: PASSED: MIGraphX meets tolerance
     :white_check_mark: distilgpt2_fp16: PASSED: MIGraphX meets tolerance
:x:llama2_7b: ERROR - check error outputTraceback (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 outputusage: 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 outputusage: 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 outputusage: 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

     :white_check_mark: llama3-8b: PASSED: MIGraphX meets tolerance
:x:#whisper-large-encoder: ERROR - check error outputTraceback (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

     :white_check_mark: whisper-large-decoder: PASSED: MIGraphX meets tolerance
     :white_check_mark: mistral-7b: PASSED: MIGraphX meets tolerance
     :white_check_mark: FLUX.1-schnell: PASSED: MIGraphX meets tolerance

migraphx-bot avatar May 10 '25 07:05 migraphx-bot