Match develop branch with MLIR develop branch

[causten]

No description provided.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (ae4331e) 91.55% compared to head (435b598) 91.55%.
Report is 4 commits behind head on develop.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #2798      +/-   ##
===========================================
- Coverage    91.55%   91.55%   -0.01%     
===========================================
  Files          470      470              
  Lines        17699    17701       +2     
===========================================
+ Hits         16205    16206       +1     
- Misses        1494     1495       +1     

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[migraphx-bot]

Test	Batch	Rate new f513f2	Rate old 4b9d64	Diff	Compare
torchvision-resnet50	64	2,852.57	2,838.20	0.51%	✅
torchvision-resnet50_fp16	64	6,521.46	6,510.98	0.16%	✅
torchvision-densenet121	32	2,098.02	2,100.32	-0.11%	✅
torchvision-densenet121_fp16	32	3,695.60	3,671.51	0.66%	✅
torchvision-inceptionv3	32	1,601.52	1,603.50	-0.12%	✅
torchvision-inceptionv3_fp16	32	2,578.61	2,579.48	-0.03%	✅
cadene-inceptionv4	16	724.94	724.15	0.11%	✅
cadene-resnext64x4	16	683.10	693.36	-1.48%	✅
slim-mobilenet	64	5,934.66	6,896.30	-13.94%	🔴
slim-nasnetalarge	64	153.76	177.11	-13.19%	🔴
slim-resnet50v2	64	2,667.92	2,666.76	0.04%	✅
bert-mrpc-onnx	8	826.35	825.96	0.05%	✅
bert-mrpc-tf	1	382.96	381.64	0.35%	✅
pytorch-examples-wlang-gru	1	238.99	234.57	1.88%	✅
pytorch-examples-wlang-lstm	1	241.86	241.21	0.27%	✅
torchvision-resnet50_1	1	610.64	610.02	0.10%	✅
cadene-dpn92_1	1	390.75	393.80	-0.77%	✅
cadene-resnext101_1	1	332.18	333.94	-0.53%	✅
onnx-taau-downsample	1	303.77	306.39	-0.86%	✅
dlrm-criteoterabyte	1	21.61	21.58	0.12%	✅
dlrm-criteoterabyte_fp16	1	40.68	40.68	0.01%	✅
agentmodel	1	4,295.53	4,763.40	-9.82%	🔴
unet_fp16	2	56.10	56.18	-0.15%	✅
resnet50v1_fp16	1	886.70	860.99	2.99%	✅
resnet50v1_int8	1	793.91	795.15	-0.16%	✅
bert_base_cased_fp16	64	936.60	936.80	-0.02%	✅
bert_large_uncased_fp16	32	292.65	292.72	-0.02%	✅
bert_large_fp16	1	184.49	184.71	-0.12%	✅
distilgpt2_fp16	16	1,641.01	1,636.09	0.30%	✅
yolov5s	1	493.86	497.42	-0.72%	✅
tinyllama	1	32.62	32.61	0.04%	✅
vicuna-fastchat	1	157.51	155.44	1.33%	✅
whisper-tiny-encoder	1	334.97	336.11	-0.34%	✅
whisper-tiny-decoder	1	374.21	373.22	0.26%	✅

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

[causten]

I opened ROCm/rocMLIR#1429 to track the two models that have worse performance