change defaults for acition files to 6.3.1

[causten]

No description provided.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.24%. Comparing base (720bc53) to head (1239000).

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3764   +/-   ##
========================================
  Coverage    92.24%   92.24%           
========================================
  Files          519      519           
  Lines        22170    22170           
========================================
  Hits         20450    20450           
  Misses        1720     1720           

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[migraphx-bot]

Test	Batch	Rate new 123900	Rate old f56b1b	Diff	Compare
torchvision-resnet50	64	3,252.93	3,255.67	-0.08%	✅
torchvision-resnet50_fp16	64	6,920.98	6,983.58	-0.90%	✅
torchvision-densenet121	32	2,452.78	2,431.65	0.87%	✅
torchvision-densenet121_fp16	32	4,186.54	4,074.03	2.76%	✅
torchvision-inceptionv3	32	1,630.49	1,628.91	0.10%	✅
torchvision-inceptionv3_fp16	32	2,713.84	2,746.14	-1.18%	✅
cadene-inceptionv4	16	763.00	764.54	-0.20%	✅
cadene-resnext64x4	16	812.78	813.45	-0.08%	✅
slim-mobilenet	64	7,455.76	7,469.86	-0.19%	✅
slim-nasnetalarge	64	208.62	209.05	-0.21%	✅
slim-resnet50v2	64	3,450.19	3,440.80	0.27%	✅
bert-mrpc-onnx	8	1,147.94	1,145.22	0.24%	✅
bert-mrpc-tf	1	500.47	476.55	5.02%	🔆
pytorch-examples-wlang-gru	1	481.30	422.09	14.03%	🔆
pytorch-examples-wlang-lstm	1	441.83	394.94	11.87%	🔆
torchvision-resnet50_1	1	806.20	769.40	4.78%	🔆
cadene-dpn92_1	1	422.48	398.97	5.89%	🔆
cadene-resnext101_1	1	384.91	383.77	0.30%	✅
onnx-taau-downsample	1	373.94	345.22	8.32%	🔆
dlrm-criteoterabyte	1	33.31	33.32	-0.05%	✅
dlrm-criteoterabyte_fp16	1	52.70	52.72	-0.03%	✅
agentmodel	1	8,482.27	8,109.71	4.59%	🔆
unet_fp16	2	58.46	58.87	-0.70%	✅
resnet50v1_fp16	1	1,031.90	930.54	10.89%	🔆
resnet50v1_int8	1	1,039.90	1,002.61	3.72%	🔆
bert_base_cased_fp16	64	1,180.71	1,168.63	1.03%	✅
bert_large_uncased_fp16	32	365.12	363.25	0.52%	✅
bert_large_fp16	1	199.58	198.22	0.69%	✅
distilgpt2_fp16	16	2,226.29	2,197.80	1.30%	✅
yolov5s	1	520.97	532.80	-2.22%	✅
tinyllama	1	43.61	43.43	0.41%	✅
vicuna-fastchat	1	174.10	174.20	-0.06%	✅
whisper-tiny-encoder	1	417.99	418.04	-0.01%	✅
whisper-tiny-decoder	1	431.91	433.15	-0.29%	✅

Check results before 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