Add flag to dump mlir modules to mxrs

[pfultz2]

No description provided.

[codecov]

Codecov Report

Attention: Patch coverage is 0% with 13 lines in your changes missing coverage. Please review.

Project coverage is 92.16%. Comparing base (275f854) to head (fff0dc9).
Report is 12 commits behind head on develop.

Files with missing lines	Patch %	Lines
src/shape.cpp	0.00%	9 Missing ⚠️
src/program.cpp	0.00%	4 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #3182      +/-   ##
===========================================
- Coverage    92.17%   92.16%   -0.02%     
===========================================
  Files          512      512              
  Lines        21391    21394       +3     
===========================================
  Hits         19718    19718              
- Misses        1673     1676       +3     

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[umangyadav]

add to ENV var document.

Also what's the usefulness of having MXRs for each MLIR module ?

[pfultz2]

Added docs.

[migraphx-bot]

Test	Batch	Rate new fff0dc	Rate old ddc4c0	Diff	Compare
torchvision-resnet50	64	3,261.58	3,261.96	-0.01%	✅
torchvision-resnet50_fp16	64	6,999.88	6,986.50	0.19%	✅
torchvision-densenet121	32	2,435.79	2,435.05	0.03%	✅
torchvision-densenet121_fp16	32	4,088.41	4,098.64	-0.25%	✅
torchvision-inceptionv3	32	1,637.98	1,637.72	0.02%	✅
torchvision-inceptionv3_fp16	32	2,763.46	2,760.21	0.12%	✅
cadene-inceptionv4	16	776.37	776.83	-0.06%	✅
cadene-resnext64x4	16	807.12	812.01	-0.60%	✅
slim-mobilenet	64	7,535.95	7,539.31	-0.04%	✅
slim-nasnetalarge	64	211.52	211.58	-0.03%	✅
slim-resnet50v2	64	3,505.14	3,507.45	-0.07%	✅
bert-mrpc-onnx	8	1,146.38	1,148.38	-0.17%	✅
bert-mrpc-tf	1	469.29	462.39	1.49%	✅
pytorch-examples-wlang-gru	1	426.36	416.01	2.49%	✅
pytorch-examples-wlang-lstm	1	383.45	387.25	-0.98%	✅
torchvision-resnet50_1	1	788.74	799.30	-1.32%	✅
cadene-dpn92_1	1	424.20	413.07	2.69%	✅
cadene-resnext101_1	1	383.67	384.54	-0.23%	✅
onnx-taau-downsample	1	342.74	343.19	-0.13%	✅
dlrm-criteoterabyte	1	33.37	33.33	0.12%	✅
dlrm-criteoterabyte_fp16	1	52.70	52.75	-0.10%	✅
agentmodel	1	8,153.22	8,254.64	-1.23%	✅
unet_fp16	2	58.97	58.74	0.39%	✅
resnet50v1_fp16	1	964.71	942.04	2.41%	✅
resnet50v1_int8	1	989.95	993.52	-0.36%	✅
bert_base_cased_fp16	64	1,170.46	1,171.05	-0.05%	✅
bert_large_uncased_fp16	32	363.49	363.48	0.00%	✅
bert_large_fp16	1	198.82	200.70	-0.94%	✅
distilgpt2_fp16	16	2,203.34	2,201.26	0.09%	✅
yolov5s	1	538.02	537.45	0.11%	✅
tinyllama	1	43.56	43.68	-0.28%	✅
vicuna-fastchat	1	176.45	175.99	0.27%	✅
whisper-tiny-encoder	1	418.43	418.69	-0.06%	✅
whisper-tiny-decoder	1	427.33	428.55	-0.28%	✅

This build is OK for 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