Use onnx_name field instead of op_name in MIGRAPHX_THROW as it is more informative and always defined

[sohaibnd]

There are onnx parse() functions which use opd.op_name in MIGRAPHX_THROW but this field is not initialized (such as in src/onnx/parse_randomnormal_ops.cpp; see issue). Adding missing definitions for op_name does not seem appropriate since op_name is used to map to operators in src/include/migraphx/op (see calls to make_op). Instead, we can replace uses of op_name in MIGRAPHX_THROW with onnx_name for onnx operators since onnx_name is always defined and is often more descriptive for the user than op_name even when the latter is defined.

[codecov]

Codecov Report

Attention: Patch coverage is 84.09091% with 7 lines in your changes missing coverage. Please review.

Project coverage is 92.17%. Comparing base (275f854) to head (4128a38).
Report is 4 commits behind head on develop.

Files with missing lines	Patch %	Lines
src/onnx/parse_qlinearbinary.cpp	33.33%	4 Missing ⚠️
src/onnx/parse_resize.cpp	66.66%	2 Missing ⚠️
src/include/migraphx/tune_axis.hpp	50.00%	1 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3532   +/-   ##
========================================
  Coverage    92.17%   92.17%           
========================================
  Files          512      512           
  Lines        21391    21393    +2     
========================================
+ Hits         19718    19720    +2     
  Misses        1673     1673           

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[migraphx-bot]

Test	Batch	Rate new 4128a3	Rate old ddc4c0	Diff	Compare
torchvision-resnet50	64	3,259.67	3,261.96	-0.07%	✅
torchvision-resnet50_fp16	64	6,995.62	6,986.50	0.13%	✅
torchvision-densenet121	32	2,437.52	2,435.05	0.10%	✅
torchvision-densenet121_fp16	32	4,064.50	4,098.64	-0.83%	✅
torchvision-inceptionv3	32	1,639.12	1,637.72	0.09%	✅
torchvision-inceptionv3_fp16	32	2,761.36	2,760.21	0.04%	✅
cadene-inceptionv4	16	776.68	776.83	-0.02%	✅
cadene-resnext64x4	16	811.89	812.01	-0.01%	✅
slim-mobilenet	64	7,537.21	7,539.31	-0.03%	✅
slim-nasnetalarge	64	211.56	211.58	-0.01%	✅
slim-resnet50v2	64	3,506.64	3,507.45	-0.02%	✅
bert-mrpc-onnx	8	1,147.92	1,148.38	-0.04%	✅
bert-mrpc-tf	1	472.01	462.39	2.08%	✅
pytorch-examples-wlang-gru	1	418.96	416.01	0.71%	✅
pytorch-examples-wlang-lstm	1	391.39	387.25	1.07%	✅
torchvision-resnet50_1	1	781.86	799.30	-2.18%	✅
cadene-dpn92_1	1	401.00	413.07	-2.92%	✅
cadene-resnext101_1	1	376.44	384.54	-2.11%	✅
onnx-taau-downsample	1	342.71	343.19	-0.14%	✅
dlrm-criteoterabyte	1	33.35	33.33	0.06%	✅
dlrm-criteoterabyte_fp16	1	52.73	52.75	-0.05%	✅
agentmodel	1	8,441.45	8,254.64	2.26%	✅
unet_fp16	2	58.84	58.74	0.17%	✅
resnet50v1_fp16	1	944.80	942.04	0.29%	✅
resnet50v1_int8	1	999.83	993.52	0.63%	✅
bert_base_cased_fp16	64	1,170.33	1,171.05	-0.06%	✅
bert_large_uncased_fp16	32	363.54	363.48	0.02%	✅
bert_large_fp16	1	200.10	200.70	-0.30%	✅
distilgpt2_fp16	16	2,201.48	2,201.26	0.01%	✅
yolov5s	1	535.93	537.45	-0.28%	✅
tinyllama	1	43.47	43.68	-0.48%	✅
vicuna-fastchat	1	173.16	175.99	-1.61%	✅
whisper-tiny-encoder	1	418.99	418.69	0.07%	✅
whisper-tiny-decoder	1	435.27	428.55	1.57%	✅

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