mxr to onnx

[richagadgil]

Changes to migraphx_py to expose information about instruction_ref to engineer ONNX file.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 91.68%. Comparing base (f56b1b4) to head (56feecb).
Report is 15 commits behind head on develop.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #3682      +/-   ##
===========================================
- Coverage    92.21%   91.68%   -0.53%     
===========================================
  Files          514      516       +2     
  Lines        21750    22092     +342     
===========================================
+ Hits         20056    20256     +200     
- Misses        1694     1836     +142     

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[pfultz2]

Remove these changes in this PR, they should go into another PR.

[pfultz2]

Move this into the visitor below.

[pfultz2]

Use std::is_same<..>{} instead.

[migraphx-bot]

Test	Batch	Rate new 56feec	Rate old f56b1b	Diff	Compare
torchvision-resnet50	64	3,254.45	3,255.67	-0.04%	✅
torchvision-resnet50_fp16	64	6,981.91	6,983.58	-0.02%	✅
torchvision-densenet121	32	2,430.24	2,431.65	-0.06%	✅
torchvision-densenet121_fp16	32	4,075.77	4,074.03	0.04%	✅
torchvision-inceptionv3	32	1,627.80	1,628.91	-0.07%	✅
torchvision-inceptionv3_fp16	32	2,743.53	2,746.14	-0.10%	✅
cadene-inceptionv4	16	764.69	764.54	0.02%	✅
cadene-resnext64x4	16	812.54	813.45	-0.11%	✅
slim-mobilenet	64	7,463.84	7,469.86	-0.08%	✅
slim-nasnetalarge	64	209.03	209.05	-0.01%	✅
slim-resnet50v2	64	3,438.14	3,440.80	-0.08%	✅
bert-mrpc-onnx	8	1,146.66	1,145.22	0.13%	✅
bert-mrpc-tf	1	475.75	476.55	-0.17%	✅
pytorch-examples-wlang-gru	1	455.11	422.09	7.82%	🔆
pytorch-examples-wlang-lstm	1	389.97	394.94	-1.26%	✅
torchvision-resnet50_1	1	786.65	769.40	2.24%	✅
cadene-dpn92_1	1	398.53	398.97	-0.11%	✅
cadene-resnext101_1	1	382.07	383.77	-0.44%	✅
onnx-taau-downsample	1	346.25	345.22	0.30%	✅
dlrm-criteoterabyte	1	33.30	33.32	-0.08%	✅
dlrm-criteoterabyte_fp16	1	52.71	52.72	-0.02%	✅
agentmodel	1	8,254.71	8,109.71	1.79%	✅
unet_fp16	2	58.81	58.87	-0.11%	✅
resnet50v1_fp16	1	928.26	930.54	-0.25%	✅
resnet50v1_int8	1	1,007.23	1,002.61	0.46%	✅
bert_base_cased_fp16	64	1,169.68	1,168.63	0.09%	✅
bert_large_uncased_fp16	32	363.31	363.25	0.02%	✅
bert_large_fp16	1	199.68	198.22	0.74%	✅
distilgpt2_fp16	16	2,195.14	2,197.80	-0.12%	✅
yolov5s	1	523.87	532.80	-1.68%	✅
tinyllama	1	43.39	43.43	-0.10%	✅
vicuna-fastchat	1	178.58	174.20	2.52%	✅
whisper-tiny-encoder	1	418.40	418.04	0.09%	✅
whisper-tiny-decoder	1	427.93	433.15	-1.21%	✅

Check results before 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