Resize Onnx parsing

[bpickrel]

The old logic stepped through the args list in order, then assumed the first float-type input was the "Scales". This led to an error in an obscure case where the "ROIs" input, which is not supported by MigraphX, was not left empty and was thereby misinterpreted.

Changed logic to simply refer to the inputs by array reference; means we're allowed to assume that positional inputs all exist even if they're given as blank '' quotes.

Updated a few parsing tests to include correct blank positional inputs.

The reason for the older args parsing was apparently an effort to cover the fact that Resize requires one but not both of inputs scales and sizes which are of different types, and someone thought that positional arguments could not be guaranteed.

[codecov]

Codecov Report

Attention: Patch coverage is 95.00000% with 1 line in your changes missing coverage. Please review.

Project coverage is 92.14%. Comparing base (3c3d007) to head (f38b449).
Report is 18 commits behind head on develop.

Files with missing lines	Patch %	Lines
src/onnx/parse_resize.cpp	95.00%	1 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #3563      +/-   ##
===========================================
- Coverage    92.16%   92.14%   -0.03%     
===========================================
  Files          512      512              
  Lines        21401    21422      +21     
===========================================
+ Hits         19724    19739      +15     
- Misses        1677     1683       +6     

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[migraphx-bot]

Test	Batch	Rate new f38b44	Rate old 624c8d	Diff	Compare
torchvision-resnet50	64	3,258.31	3,261.20	-0.09%	✅
torchvision-resnet50_fp16	64	6,984.25	6,993.71	-0.14%	✅
torchvision-densenet121	32	2,439.47	2,437.35	0.09%	✅
torchvision-densenet121_fp16	32	4,077.44	4,089.44	-0.29%	✅
torchvision-inceptionv3	32	1,638.59	1,638.48	0.01%	✅
torchvision-inceptionv3_fp16	32	2,763.77	2,760.60	0.11%	✅
cadene-inceptionv4	16	776.39	775.82	0.07%	✅
cadene-resnext64x4	16	811.63	811.91	-0.03%	✅
slim-mobilenet	64	7,534.67	7,537.37	-0.04%	✅
slim-nasnetalarge	64	211.47	211.47	0.00%	✅
slim-resnet50v2	64	3,505.85	3,506.85	-0.03%	✅
bert-mrpc-onnx	8	1,148.18	1,148.60	-0.04%	✅
bert-mrpc-tf	1	463.27	467.67	-0.94%	✅
pytorch-examples-wlang-gru	1	435.83	493.52	-11.69%	🔴
pytorch-examples-wlang-lstm	1	400.41	389.72	2.74%	✅
torchvision-resnet50_1	1	757.74	771.08	-1.73%	✅
cadene-dpn92_1	1	396.75	403.25	-1.61%	✅
cadene-resnext101_1	1	382.47	383.53	-0.28%	✅
onnx-taau-downsample	1	343.07	342.95	0.04%	✅
dlrm-criteoterabyte	1	33.34	33.36	-0.07%	✅
dlrm-criteoterabyte_fp16	1	52.75	52.78	-0.06%	✅
agentmodel	1	8,420.41	8,580.01	-1.86%	✅
unet_fp16	2	58.99	58.67	0.55%	✅
resnet50v1_fp16	1	950.47	930.71	2.12%	✅
resnet50v1_int8	1	1,018.98	1,019.34	-0.04%	✅
bert_base_cased_fp16	64	1,171.45	1,170.82	0.05%	✅
bert_large_uncased_fp16	32	363.41	363.52	-0.03%	✅
bert_large_fp16	1	200.30	200.64	-0.17%	✅
distilgpt2_fp16	16	2,200.93	2,199.21	0.08%	✅
yolov5s	1	539.29	533.96	1.00%	✅
tinyllama	1	43.45	43.46	-0.04%	✅
vicuna-fastchat	1	176.28	172.88	1.96%	✅
whisper-tiny-encoder	1	418.93	418.56	0.09%	✅
whisper-tiny-decoder	1	428.00	426.37	0.38%	✅

This build is not recommended to 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