Use default workspace size for hipBLASLt when no algo is provided

[ahsan-ca]

When hipBLASLt does not provide an algo, we use the default workspace size.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.35%. Comparing base (3e17c5a) to head (4887b9a).
Report is 3 commits behind head on develop.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3837   +/-   ##
========================================
  Coverage    92.35%   92.35%           
========================================
  Files          519      519           
  Lines        22311    22311           
========================================
  Hits         20606    20606           
  Misses        1705     1705           

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[TedThemistokleous]

Fix tidy but otherwise lgtm

[ahsan-ca]

Jenkins failure seems unrelated, restarting Jenkins.

[migraphx-bot]

Test	Batch	Rate new 4887b9	Rate old 1aff1a	Diff	Compare
torchvision-resnet50	64	3,237.23	3,233.96	0.10%	✅
torchvision-resnet50_fp16	64	6,866.95	6,866.95	0.00%	✅
torchvision-densenet121	32	2,436.18	2,437.82	-0.07%	✅
torchvision-densenet121_fp16	32	4,201.40	4,193.76	0.18%	✅
torchvision-inceptionv3	32	1,613.72	1,613.72	0.00%	✅
torchvision-inceptionv3_fp16	32	2,675.59	2,677.82	-0.08%	✅
cadene-inceptionv4	16	750.12	750.47	-0.05%	✅
cadene-resnext64x4	16	809.72	810.13	-0.05%	✅
slim-mobilenet	64	6,661.59	6,659.77	0.03%	✅
slim-nasnetalarge	64	196.86	196.84	0.01%	✅
slim-resnet50v2	64	3,432.94	3,432.94	0.00%	✅
bert-mrpc-onnx	8	1,134.75	1,131.54	0.28%	✅
bert-mrpc-tf	1	507.61	500.00	1.52%	✅
pytorch-examples-wlang-gru	1	506.68	471.50	7.46%	🔆
pytorch-examples-wlang-lstm	1	453.78	444.16	2.17%	✅
torchvision-resnet50_1	1	793.65	800.00	-0.79%	✅
cadene-dpn92_1	1	430.60	430.99	-0.09%	✅
cadene-resnext101_1	1	390.62	390.62	0.00%	✅
onnx-taau-downsample	1	371.64	371.68	-0.01%	✅
dlrm-criteoterabyte	1	31.82	31.80	0.09%	✅
dlrm-criteoterabyte_fp16	1	51.04	51.06	-0.03%	✅
agentmodel	1	8,803.13	8,563.18	2.80%	✅
unet_fp16	2	58.36	58.24	0.20%	✅
resnet50v1_fp16	1	1,075.27	1,075.27	0.00%	✅
resnet50v1_int8	1	826.45	800.00	3.31%	🔆
bert_base_cased_fp16	64	1,159.00	1,159.00	0.00%	✅
bert_large_uncased_fp16	32	360.24	360.12	0.03%	✅
bert_large_fp16	1	216.92	216.45	0.22%	✅
distilgpt2_fp16	16	2,191.78	2,188.78	0.14%	✅
yolov5s	1	529.41	529.26	0.03%	✅
tinyllama	1	49.12	49.12	0.00%	✅
vicuna-fastchat	1	43.61	43.63	-0.04%	✅
whisper-tiny-encoder	1	436.68	436.68	0.00%	✅
whisper-tiny-decoder	1	448.43	446.43	0.45%	✅

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