Remove BF16 Macros that check for MSR

[richagadgil]

No description provided.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.17%. Comparing base (0ad8073) to head (bb77ba0).

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3654   +/-   ##
========================================
  Coverage    92.17%   92.17%           
========================================
  Files          513      513           
  Lines        21584    21584           
========================================
  Hits         19895    19895           
  Misses        1689     1689           

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[migraphx-bot]

Test	Batch	Rate new bb77ba	Rate old 0ad807	Diff	Compare
torchvision-resnet50	64	3,257.99	3,239.44	0.57%	✅
torchvision-resnet50_fp16	64	6,990.11	6,989.98	0.00%	✅
torchvision-densenet121	32	2,435.05	2,435.40	-0.01%	✅
torchvision-densenet121_fp16	32	4,074.31	4,083.28	-0.22%	✅
torchvision-inceptionv3	32	1,628.38	1,630.36	-0.12%	✅
torchvision-inceptionv3_fp16	32	2,746.55	2,743.98	0.09%	✅
cadene-inceptionv4	16	765.40	765.72	-0.04%	✅
cadene-resnext64x4	16	810.39	811.01	-0.08%	✅
slim-mobilenet	64	7,461.17	7,471.20	-0.13%	✅
slim-nasnetalarge	64	208.52	208.50	0.01%	✅
slim-resnet50v2	64	3,442.53	3,438.88	0.11%	✅
bert-mrpc-onnx	8	1,148.88	1,147.12	0.15%	✅
bert-mrpc-tf	1	464.15	469.98	-1.24%	✅
pytorch-examples-wlang-gru	1	445.61	416.34	7.03%	🔆
pytorch-examples-wlang-lstm	1	390.80	463.26	-15.64%	🔴
torchvision-resnet50_1	1	802.89	770.23	4.24%	🔆
cadene-dpn92_1	1	401.23	399.89	0.34%	✅
cadene-resnext101_1	1	383.03	382.62	0.11%	✅
onnx-taau-downsample	1	346.24	345.09	0.33%	✅
dlrm-criteoterabyte	1	33.33	33.34	-0.03%	✅
dlrm-criteoterabyte_fp16	1	52.73	52.72	0.02%	✅
agentmodel	1	8,302.75	10,261.49	-19.09%	🔴
unet_fp16	2	58.87	58.87	0.01%	✅
resnet50v1_fp16	1	940.78	982.51	-4.25%	🔴
resnet50v1_int8	1	1,024.28	1,007.17	1.70%	✅
bert_base_cased_fp16	64	1,169.18	1,169.34	-0.01%	✅
bert_large_uncased_fp16	32	363.06	363.46	-0.11%	✅
bert_large_fp16	1	200.06	198.15	0.96%	✅
distilgpt2_fp16	16	2,200.77	2,201.47	-0.03%	✅
yolov5s	1	528.61	536.48	-1.47%	✅
tinyllama	1	43.44	43.38	0.15%	✅
vicuna-fastchat	1	180.96	172.97	4.62%	🔆
whisper-tiny-encoder	1	418.63	418.04	0.14%	✅
whisper-tiny-decoder	1	429.53	423.83	1.34%	✅

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