Set compile options from accuracy checker

[CharlieL7]

Importantly allows you to set disable_fast_math from the accuracy checker.

[codecov]

Codecov Report

Merging #2298 (b0eab3e) into develop (65c37c3) will not change coverage.
The diff coverage is n/a.

❗ Current head b0eab3e differs from pull request most recent head 11a66fd. Consider uploading reports for the commit 11a66fd to get more accurate results

@@           Coverage Diff            @@
##           develop    #2298   +/-   ##
========================================
  Coverage    91.50%   91.50%           
========================================
  Files          431      431           
  Lines        16140    16140           
========================================
  Hits         14769    14769           
  Misses        1371     1371           

[migraphx-bot]

Test	Batch	Rate new 11a66f	Rate old 65c37c	Diff	Compare
torchvision-resnet50	64	2,323.04	2,324.63	-0.07%	✅
torchvision-resnet50_fp16	64	5,359.73	5,357.98	0.03%	✅
torchvision-densenet121	32	1,846.26	1,847.88	-0.09%	✅
torchvision-densenet121_fp16	32	3,414.03	3,409.96	0.12%	✅
torchvision-inceptionv3	32	1,294.17	1,296.14	-0.15%	✅
torchvision-inceptionv3_fp16	32	2,536.50	2,534.23	0.09%	✅
cadene-inceptionv4	16	619.96	620.23	-0.04%	✅
cadene-resnext64x4	16	588.93	588.45	0.08%	✅
slim-mobilenet	64	7,208.76	7,215.95	-0.10%	✅
slim-nasnetalarge	64	236.22	236.51	-0.12%	✅
slim-resnet50v2	64	2,555.08	2,555.59	-0.02%	✅
bert-mrpc-onnx	8	824.89	825.02	-0.02%	✅
bert-mrpc-tf	1	389.35	389.38	-0.01%	✅
pytorch-examples-wlang-gru	1	297.50	294.47	1.03%	✅
pytorch-examples-wlang-lstm	1	306.59	307.96	-0.45%	✅
torchvision-resnet50_1	1	546.49	544.78	0.31%	✅
torchvision-inceptionv3_1	1	304.55	305.19	-0.21%	✅
cadene-dpn92_1	1	356.74	352.21	1.28%	✅
cadene-resnext101_1	1	219.53	220.12	-0.26%	✅
slim-vgg16_1	1	223.93	224.29	-0.16%	✅
slim-mobilenet_1	1	1,510.76	1,497.40	0.89%	✅
slim-inceptionv4_1	1	216.82	214.96	0.86%	✅
onnx-taau-downsample	1	307.11	306.79	0.10%	✅
dlrm-criteoterabyte	1	21.69	21.67	0.09%	✅
dlrm-criteoterabyte_fp16	1	40.73	40.71	0.05%	✅
agentmodel	1	5,828.08	5,776.01	0.90%	✅
unet_fp16	2	55.15	55.16	-0.01%	✅
resnet50v1_fp16	1	755.93	766.51	-1.38%	✅
bert_base_cased_fp16	64	970.24	971.03	-0.08%	✅
bert_large_uncased_fp16	32	304.94	305.05	-0.03%	✅
bert_large_fp16	1	166.83	166.83	0.00%	✅
distilgpt2_fp16	16	1,350.95	1,350.80	0.01%	✅

This build is OK for merge ✅

[migraphx-bot]

    :white_check_mark:bert-mrpc-onnx: PASSED: MIGraphX meets tolerance

    :white_check_mark:bert-mrpc-tf: PASSED: MIGraphX meets tolerance

    :white_check_mark:pytorch-examples-wlang-gru: PASSED: MIGraphX meets tolerance

    :white_check_mark:pytorch-examples-wlang-lstm: PASSED: MIGraphX meets tolerance

    :white_check_mark:torchvision-resnet50_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:torchvision-inceptionv3_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:cadene-dpn92_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:cadene-resnext101_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:slim-vgg16_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:slim-mobilenet_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:slim-inceptionv4_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:dlrm-criteoterabyte: PASSED: MIGraphX meets tolerance

    :white_check_mark:agentmodel: PASSED: MIGraphX meets tolerance

    :white_check_mark:unet: PASSED: MIGraphX meets tolerance

    :white_check_mark:resnet50v1: PASSED: MIGraphX meets tolerance

🔴bert_base_cased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output

🔴bert_large_uncased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output

    :white_check_mark:bert_large: PASSED: MIGraphX meets tolerance

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