Remove the warning on using FP8 types

[CharlieL7]

See title

[TedThemistokleous]

LGTM

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.16%. Comparing base (71fd270) to head (59385d9).
Report is 134 commits behind head on develop.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3564   +/-   ##
========================================
  Coverage    92.16%   92.16%           
========================================
  Files          512      512           
  Lines        21401    21398    -3     
========================================
- Hits         19724    19722    -2     
+ Misses        1677     1676    -1     

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[migraphx-bot]

Test	Batch	Rate new 59385d	Rate old 71fd27	Diff	Compare
torchvision-resnet50	64	3,258.76	3,256.05	0.08%	✅
torchvision-resnet50_fp16	64	6,982.78	6,992.26	-0.14%	✅
torchvision-densenet121	32	2,435.18	2,434.22	0.04%	✅
torchvision-densenet121_fp16	32	4,084.26	4,079.64	0.11%	✅
torchvision-inceptionv3	32	1,637.83	1,637.47	0.02%	✅
torchvision-inceptionv3_fp16	32	2,759.72	2,759.60	0.00%	✅
cadene-inceptionv4	16	776.15	776.43	-0.04%	✅
cadene-resnext64x4	16	811.78	811.29	0.06%	✅
slim-mobilenet	64	7,533.78	7,528.80	0.07%	✅
slim-nasnetalarge	64	211.48	211.45	0.01%	✅
slim-resnet50v2	64	3,503.84	3,505.64	-0.05%	✅
bert-mrpc-onnx	8	1,150.72	1,147.47	0.28%	✅
bert-mrpc-tf	1	464.13	478.08	-2.92%	✅
pytorch-examples-wlang-gru	1	421.62	431.87	-2.37%	✅
pytorch-examples-wlang-lstm	1	382.29	381.81	0.13%	✅
torchvision-resnet50_1	1	784.54	803.39	-2.35%	✅
cadene-dpn92_1	1	400.25	396.73	0.89%	✅
cadene-resnext101_1	1	381.86	382.47	-0.16%	✅
onnx-taau-downsample	1	342.57	343.15	-0.17%	✅
dlrm-criteoterabyte	1	33.34	33.34	0.01%	✅
dlrm-criteoterabyte_fp16	1	52.72	52.77	-0.10%	✅
agentmodel	1	8,059.97	8,446.23	-4.57%	🔴
unet_fp16	2	58.83	58.90	-0.12%	✅
resnet50v1_fp16	1	959.82	959.17	0.07%	✅
resnet50v1_int8	1	1,030.76	1,004.97	2.57%	✅
bert_base_cased_fp16	64	1,171.53	1,171.31	0.02%	✅
bert_large_uncased_fp16	32	363.32	363.39	-0.02%	✅
bert_large_fp16	1	198.87	201.09	-1.10%	✅
distilgpt2_fp16	16	2,200.42	2,203.95	-0.16%	✅
yolov5s	1	532.28	535.07	-0.52%	✅
tinyllama	1	43.69	43.47	0.51%	✅
vicuna-fastchat	1	175.92	172.75	1.83%	✅
whisper-tiny-encoder	1	418.13	418.21	-0.02%	✅
whisper-tiny-decoder	1	431.18	427.43	0.88%	✅

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