Use fill_argument for literals that have the same value

[pfultz2]

No description provided.

[codecov]

Codecov Report

Attention: Patch coverage is 0% with 10 lines in your changes missing coverage. Please review.

Project coverage is 92.31%. Comparing base (fe57aff) to head (3f5ec12).

Files with missing lines	Patch %	Lines
src/module.cpp	0.00%	10 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #3815      +/-   ##
===========================================
- Coverage    92.35%   92.31%   -0.04%     
===========================================
  Files          519      519              
  Lines        22307    22315       +8     
===========================================
  Hits         20601    20601              
- Misses        1706     1714       +8     

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[migraphx-bot]

Test	Batch	Rate new 3f5ec1	Rate old 214139	Diff	Compare
torchvision-resnet50	64	3,233.96	3,235.79	-0.06%	✅
torchvision-resnet50_fp16	64	6,866.95	6,876.30	-0.14%	✅
torchvision-densenet121	32	2,434.16	2,437.41	-0.13%	✅
torchvision-densenet121_fp16	32	4,194.65	4,205.62	-0.26%	✅
torchvision-inceptionv3	32	1,614.53	1,614.06	0.03%	✅
torchvision-inceptionv3_fp16	32	2,677.82	2,678.00	-0.01%	✅
cadene-inceptionv4	16	750.47	750.03	0.06%	✅
cadene-resnext64x4	16	808.90	809.60	-0.09%	✅
slim-mobilenet	64	6,661.89	6,656.41	0.08%	✅
slim-nasnetalarge	64	196.58	196.58	0.00%	✅
slim-resnet50v2	64	3,429.13	3,429.08	0.00%	✅
bert-mrpc-onnx	8	1,131.54	1,142.46	-0.96%	✅
bert-mrpc-tf	1	497.51	487.75	2.00%	✅
pytorch-examples-wlang-gru	1	483.62	539.97	-10.44%	🔴
pytorch-examples-wlang-lstm	1	436.41	432.68	0.86%	✅
torchvision-resnet50_1	1	793.65	810.41	-2.07%	✅
cadene-dpn92_1	1	431.43	430.86	0.13%	✅
cadene-resnext101_1	1	389.11	390.48	-0.35%	✅
onnx-taau-downsample	1	371.60	369.93	0.45%	✅
dlrm-criteoterabyte	1	31.80	31.80	0.01%	✅
dlrm-criteoterabyte_fp16	1	50.94	50.96	-0.03%	✅
agentmodel	1	8,630.44	8,828.00	-2.24%	✅
unet_fp16	2	58.29	58.15	0.25%	✅
resnet50v1_fp16	1	1,063.83	1,029.51	3.33%	🔆
resnet50v1_int8	1	787.40	807.40	-2.48%	✅
bert_base_cased_fp16	64	1,159.21	1,164.60	-0.46%	✅
bert_large_uncased_fp16	32	360.12	361.78	-0.46%	✅
bert_large_fp16	1	215.52	201.22	7.11%	🔆
distilgpt2_fp16	16	2,188.78	2,218.71	-1.35%	✅
yolov5s	1	520.89	519.18	0.33%	✅
tinyllama	1	49.12	43.62	12.60%	🔆
vicuna-fastchat	1	43.65	43.86	-0.47%	✅
whisper-tiny-encoder	1	436.68	412.16	5.95%	🔆
whisper-tiny-decoder	1	448.43	410.84	9.15%	🔆

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