Split onnx parse tests into separate files

[pfultz2]

So this puts the parse tests under test/onnx/parse. I plan to split the verify tests as well and put them into the test/onnx/verify directory. There is a cpp file for each onnx file(except the rnn tests which I am not splitting).

In the future, we could also move the onnx files to the test/onnx/models directory, but for now I just split the tests.

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (362c5fe) 91.39% compared to head (97f474f) 91.39%.
Report is 4 commits behind head on develop.

❗ Current head 97f474f differs from pull request most recent head ec5d195. Consider uploading reports for the commit ec5d195 to get more accurate results

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Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #2550      +/-   ##
===========================================
- Coverage    91.39%   91.39%   -0.01%     
===========================================
  Files          454      454              
  Lines        17193    17191       -2     
===========================================
- Hits         15713    15711       -2     
  Misses        1480     1480              

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[migraphx-bot]

Test	Batch	Rate new ec5d19	Rate old a11f9f	Diff	Compare
torchvision-resnet50	64	2,834.49	2,833.53	0.03%	✅
torchvision-resnet50_fp16	64	6,500.89	6,501.06	-0.00%	✅
torchvision-densenet121	32	2,084.73	2,089.91	-0.25%	✅
torchvision-densenet121_fp16	32	3,664.02	3,664.45	-0.01%	✅
torchvision-inceptionv3	32	1,595.46	1,597.13	-0.10%	✅
torchvision-inceptionv3_fp16	32	2,559.34	2,561.89	-0.10%	✅
cadene-inceptionv4	16	722.04	722.08	-0.01%	✅
cadene-resnext64x4	16	691.87	692.01	-0.02%	✅
slim-mobilenet	64	8,331.81	8,336.61	-0.06%	✅
slim-nasnetalarge	64	230.55	230.57	-0.01%	✅
slim-resnet50v2	64	2,661.83	2,662.60	-0.03%	✅
bert-mrpc-onnx	8	824.03	824.12	-0.01%	✅
bert-mrpc-tf	1	388.62	387.62	0.26%	✅
pytorch-examples-wlang-gru	1	304.43	298.79	1.89%	✅
pytorch-examples-wlang-lstm	1	306.22	314.63	-2.67%	✅
torchvision-resnet50_1	1	601.28	607.64	-1.05%	✅
torchvision-inceptionv3_1	1	344.21	345.23	-0.30%	✅
cadene-dpn92_1	1	404.32	404.54	-0.05%	✅
cadene-resnext101_1	1	328.08	328.67	-0.18%	✅
slim-vgg16_1	1	458.44	460.36	-0.42%	✅
slim-mobilenet_1	1	2,127.62	2,132.36	-0.22%	✅
slim-inceptionv4_1	1	214.68	214.32	0.17%	✅
onnx-taau-downsample	1	306.56	306.25	0.10%	✅
dlrm-criteoterabyte	1	21.60	21.62	-0.08%	✅
dlrm-criteoterabyte_fp16	1	40.62	40.65	-0.06%	✅
agentmodel	1	6,006.19	5,921.64	1.43%	✅
unet_fp16	2	54.72	54.77	-0.09%	✅
resnet50v1_fp16	1	942.13	920.20	2.38%	✅
bert_base_cased_fp16	64	903.20	903.39	-0.02%	✅
bert_large_uncased_fp16	32	285.70	285.66	0.02%	✅
bert_large_fp16	1	166.96	166.76	0.12%	✅
distilgpt2_fp16	16	1,280.34	1,281.29	-0.07%	✅

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

     ✅ torchvision-inceptionv3_1: PASSED: MIGraphX meets tolerance

     ✅ cadene-dpn92_1: PASSED: MIGraphX meets tolerance

     ✅ cadene-resnext101_1: PASSED: MIGraphX meets tolerance

     ✅ slim-vgg16_1: PASSED: MIGraphX meets tolerance

     ✅ slim-mobilenet_1: PASSED: MIGraphX meets tolerance

     ✅ slim-inceptionv4_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: PASSED: MIGraphX meets tolerance

     ✅ bert_large: PASSED: MIGraphX meets tolerance

🔴distilgpt2_fp16: FAILED: MIGraphX is not within tolerance - check verbose output

[lakhinderwalia]

Approving it, with some suggested cosmetic changes, below:

1. Please spell-check the PR title.
2. Please update the copyright timestamps. Not just for the new files.

[TedThemistokleous]

LGTM. Fix your CI errors (format/tidy) but looks good