support stride > 1 case.

[weizhu12-amd]

Motivation

Technical Details

Changelog Category

Add a CHANGELOG.md entry for any option other than Not Applicable

• • Added: New functionality.
• • Changed: Changes to existing functionality.
• • Removed: Functionality or support that has been removed. (Compared to a previous release)
• • Optimized: Component performance that has been optimized or improved.
• • Resolved Issues: Known issues from a previous version that have been resolved.
• • Not Applicable: This PR is not to be included in the changelog.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #4829      +/-   ##
===========================================
+ Coverage    92.49%   92.80%   +0.30%     
===========================================
  Files          583      584       +1     
  Lines        29562    30067     +505     
===========================================
+ Hits         27343    27901     +558     
+ Misses        2219     2166      -53     

see 31 files with indirect coverage changes

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[causten]

Test	Batch	New Rate (0109b9)	Old Rate (479da6)	Diff	Status
torchvision-resnet50	64	1,589.51	3,132.99	-49.27%	🔴
torchvision-resnet50_fp16	64	5,802.04	6,513.69	-10.93%	🔴
torchvision-densenet121	32	2,678.36	2,630.04	1.84%	✅
torchvision-densenet121_fp16	32	4,405.74	4,378.95	0.61%	✅
torchvision-inceptionv3	32	1,477.90	1,803.86	-18.07%	🔴
torchvision-inceptionv3_fp16	32	2,563.12	2,787.84	-8.06%	🔴
cadene-inceptionv4	16	612.54	827.07	-25.94%	🔴
cadene-resnext64x4	16	778.65	781.36	-0.35%	✅
slim-mobilenet	64	7,203.92	8,364.44	-13.87%	🔴
slim-nasnetalarge	64	188.42	229.21	-17.80%	🔴
slim-resnet50v2	64	1,984.82	3,284.17	-39.56%	🔴
bert-mrpc-onnx	8	954.73	1,126.13	-15.22%	🔴
bert-mrpc-tf	1	449.61	454.61	-1.10%	✅
pytorch-examples-wlang-gru	1	171.68	422.13	-59.33%	🔴
pytorch-examples-wlang-lstm	1	37.56	457.77	-91.80%	🔴
torchvision-resnet50_1	1	107.66	753.56	-85.71%	🔴
cadene-dpn92_1	1	431.01	432.52	-0.35%	✅
cadene-resnext101_1	1	357.95	366.88	-2.43%	✅
onnx-taau-downsample	1	397.42	398.70	-0.32%	✅
dlrm-criteoterabyte	1	33.03	33.01	0.07%	✅
dlrm-criteoterabyte_fp16	1	52.05	52.07	-0.04%	✅
agentmodel	1	9,982.53	9,383.59	6.38%	🔆
unet_fp16	2	55.04	56.32	-2.27%	✅
resnet50v1_fp16	1	942.48	933.15	1.00%	✅
resnet50v1_int8	1	919.57	928.26	-0.94%	✅
bert_base_cased_fp16	64	1,113.33	1,104.97	0.76%	✅
bert_large_uncased_fp16	32	279.79	347.26	-19.43%	🔴
bert_large_fp16	1	195.97	201.12	-2.56%	✅
distilgpt2_fp16	16	2,111.11	2,105.06	0.29%	✅
yolov5s	1	567.34	552.00	2.78%	✅
tinyllama	1	46.15	45.28	1.93%	✅
vicuna-fastchat	1	38.36	43.80	-12.41%	🔴
whisper-tiny-encoder	1	418.59	413.50	1.23%	✅
whisper-tiny-decoder	1	414.72	405.99	2.15%	✅
llama2_7b	1	20.49	20.33	0.80%	✅
qwen1.5-7b	1	23.76	23.56	0.83%	✅
phi3-3.8b	1	26.95	26.80	0.56%	✅
llama3-8b	1	21.94	21.79	0.68%	✅
whisper-large-encoder	1	9.56	10.23	-6.56%	🔴
whisper-large-decoder	1	103.31	101.28	2.01%	✅
mistral-7b	1	23.97	23.76	0.92%	✅
FLUX.1-schnell	1	760.75	758.50	0.30%	✅

Regressions detected 🔴

[causten]

Test	Status	Result
bert-mrpc-onnx	✅	PASSED: MIGraphX meets tolerance
bert-mrpc-tf	✅	PASSED: MIGraphX meets tolerance
pytorch-examples-wlang-gru	✅	PASSED: MIGraphX meets tolerance
pytorch-examples-wlang-lstm	✅	PASSED: MIGraphX meets tolerance
dlrm-criteoterabyte	✅	PASSED: MIGraphX meets tolerance
agentmodel	✅	PASSED: MIGraphX meets tolerance
unet	✅	PASSED: MIGraphX meets tolerance
resnet50v1	✅	PASSED: MIGraphX meets tolerance
bert_base_cased_fp16	✅	PASSED: MIGraphX meets tolerance
bert_large_uncased_fp16	🔴	FAILED: MIGraphX is not within tolerance - check verbose output
bert_large	✅	PASSED: MIGraphX meets tolerance
yolov5s	✅	PASSED: MIGraphX meets tolerance
tinyllama	✅	PASSED: MIGraphX meets tolerance
vicuna-fastchat	✅	PASSED: MIGraphX meets tolerance
whisper-tiny-encoder	✅	PASSED: MIGraphX meets tolerance
whisper-tiny-decoder	✅	PASSED: MIGraphX meets tolerance
distilgpt2_fp16	✅	PASSED: MIGraphX meets tolerance
llama2_7b	✅	PASSED: MIGraphX meets tolerance
qwen1.5-7b	✅	PASSED: MIGraphX meets tolerance
phi3-3.8b	✅	PASSED: MIGraphX meets tolerance
llama3-8b	✅	PASSED: MIGraphX meets tolerance
whisper-large-encoder	❌	ERROR - check error output traceback Traceback (most recent call last): File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 360, in main() File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 211, in main model = migraphx.parse_onnx(model_name, default_dim_value=batch) RuntimeError: /data/src/include/migraphx/op/convolution.hpp:103: normalize_compute_shape: CONVOLUTION: mismatched channel numbers
whisper-large-decoder	✅	PASSED: MIGraphX meets tolerance
mistral-7b	✅	PASSED: MIGraphX meets tolerance
FLUX.1-schnell	✅	PASSED: MIGraphX meets tolerance