Add reduce section for verify tests

[pfultz2]

This creates a new section in test_verify for reduce tests. All the reduce-like operators are added to this section including softmax, arg ops, layernorm, instancenorm, etc. We could also consider adding pooling to this section in the future as well.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.23%. Comparing base (2e59073) to head (165eb81).
Report is 1 commits behind head on develop.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3677   +/-   ##
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  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 165eb8	Rate old 64fe0c	Diff	Compare
torchvision-resnet50	64	3,256.14	3,254.94	0.04%	✅
torchvision-resnet50_fp16	64	6,979.46	6,977.96	0.02%	✅
torchvision-densenet121	32	2,434.85	2,436.55	-0.07%	✅
torchvision-densenet121_fp16	32	4,101.52	4,076.26	0.62%	✅
torchvision-inceptionv3	32	1,628.30	1,627.46	0.05%	✅
torchvision-inceptionv3_fp16	32	2,745.77	2,741.58	0.15%	✅
cadene-inceptionv4	16	765.36	764.31	0.14%	✅
cadene-resnext64x4	16	813.69	813.14	0.07%	✅
slim-mobilenet	64	7,462.46	7,466.83	-0.06%	✅
slim-nasnetalarge	64	209.02	209.03	-0.01%	✅
slim-resnet50v2	64	3,441.01	3,443.32	-0.07%	✅
bert-mrpc-onnx	8	1,144.39	1,144.17	0.02%	✅
bert-mrpc-tf	1	471.65	474.21	-0.54%	✅
pytorch-examples-wlang-gru	1	422.04	416.53	1.32%	✅
pytorch-examples-wlang-lstm	1	394.01	384.23	2.55%	✅
torchvision-resnet50_1	1	775.58	783.29	-0.98%	✅
cadene-dpn92_1	1	403.62	398.94	1.17%	✅
cadene-resnext101_1	1	383.46	383.46	-0.00%	✅
onnx-taau-downsample	1	345.59	345.52	0.02%	✅
dlrm-criteoterabyte	1	33.35	33.33	0.08%	✅
dlrm-criteoterabyte_fp16	1	52.73	52.73	-0.00%	✅
agentmodel	1	8,187.33	8,127.83	0.73%	✅
unet_fp16	2	58.89	58.89	0.01%	✅
resnet50v1_fp16	1	934.85	938.63	-0.40%	✅
resnet50v1_int8	1	1,027.04	984.73	4.30%	🔆
bert_base_cased_fp16	64	1,170.20	1,170.23	-0.00%	✅
bert_large_uncased_fp16	32	363.35	362.94	0.11%	✅
bert_large_fp16	1	200.23	200.28	-0.02%	✅
distilgpt2_fp16	16	2,201.92	2,198.50	0.16%	✅
yolov5s	1	541.97	531.33	2.00%	✅
tinyllama	1	43.38	43.34	0.08%	✅
vicuna-fastchat	1	176.75	172.03	2.74%	✅
whisper-tiny-encoder	1	417.52	418.00	-0.11%	✅
whisper-tiny-decoder	1	425.85	428.83	-0.69%	✅

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