Add changes for contiguous transpose gemm fusion for hipblaslt

[ahsan-ca]

No description provided.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.23%. Comparing base (0860461) to head (3926315).
Report is 6 commits behind head on develop.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3706   +/-   ##
========================================
  Coverage    92.23%   92.23%           
========================================
  Files          514      514           
  Lines        21746    21746           
========================================
  Hits         20057    20057           
  Misses        1689     1689           

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[migraphx-bot]

Test	Batch	Rate new 392631	Rate old 6f6705	Diff	Compare
torchvision-resnet50	64	3,254.81	3,257.99	-0.10%	✅
torchvision-resnet50_fp16	64	6,979.06	6,969.89	0.13%	✅
torchvision-densenet121	32	2,433.94	2,434.72	-0.03%	✅
torchvision-densenet121_fp16	32	4,061.77	4,079.58	-0.44%	✅
torchvision-inceptionv3	32	1,628.10	1,625.71	0.15%	✅
torchvision-inceptionv3_fp16	32	2,747.02	2,744.57	0.09%	✅
cadene-inceptionv4	16	765.30	764.53	0.10%	✅
cadene-resnext64x4	16	812.77	812.65	0.01%	✅
slim-mobilenet	64	7,466.82	7,463.64	0.04%	✅
slim-nasnetalarge	64	208.98	209.02	-0.02%	✅
slim-resnet50v2	64	3,438.94	3,438.27	0.02%	✅
bert-mrpc-onnx	8	1,148.38	1,150.14	-0.15%	✅
bert-mrpc-tf	1	477.99	473.42	0.97%	✅
pytorch-examples-wlang-gru	1	525.61	412.17	27.52%	🔆
pytorch-examples-wlang-lstm	1	394.77	393.10	0.42%	✅
torchvision-resnet50_1	1	784.75	790.72	-0.75%	✅
cadene-dpn92_1	1	401.73	399.49	0.56%	✅
cadene-resnext101_1	1	381.57	383.53	-0.51%	✅
onnx-taau-downsample	1	346.07	345.20	0.25%	✅
dlrm-criteoterabyte	1	33.32	33.32	-0.03%	✅
dlrm-criteoterabyte_fp16	1	52.71	52.75	-0.06%	✅
agentmodel	1	8,366.66	8,373.46	-0.08%	✅
unet_fp16	2	58.75	58.79	-0.07%	✅
resnet50v1_fp16	1	912.98	969.89	-5.87%	🔴
resnet50v1_int8	1	1,011.16	1,031.16	-1.94%	✅
bert_base_cased_fp16	64	1,169.86	1,170.20	-0.03%	✅
bert_large_uncased_fp16	32	363.27	362.80	0.13%	✅
bert_large_fp16	1	198.50	199.81	-0.65%	✅
distilgpt2_fp16	16	2,199.51	2,195.15	0.20%	✅
yolov5s	1	527.70	534.95	-1.35%	✅
tinyllama	1	43.39	43.65	-0.62%	✅
vicuna-fastchat	1	179.39	174.76	2.65%	✅
whisper-tiny-encoder	1	417.70	417.83	-0.03%	✅
whisper-tiny-decoder	1	428.05	425.41	0.62%	✅

This build is not recommended to merge 🔴

[migraphx-bot]

     ✅ 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

     ✅ torchvision-resnet50_1: PASSED: MIGraphX meets tolerance

     ✅ cadene-dpn92_1: PASSED: MIGraphX meets tolerance

     ✅ cadene-resnext101_1: 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