Call compile with correct executable

[richagadgil]

Fixing Issue #3487 where compiling with incorrect hiprtc function results in error

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.17%. Comparing base (c1f4371) to head (4f35b16).
Report is 4 commits behind head on develop.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3493   +/-   ##
========================================
  Coverage    92.17%   92.17%           
========================================
  Files          512      512           
  Lines        21385    21385           
========================================
  Hits         19712    19712           
  Misses        1673     1673           

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[migraphx-bot]

Test	Batch	Rate new 4f35b1	Rate old bdbe34	Diff	Compare
torchvision-resnet50	64	3,261.08	3,258.84	0.07%	✅
torchvision-resnet50_fp16	64	6,997.72	6,981.91	0.23%	✅
torchvision-densenet121	32	2,437.15	2,436.52	0.03%	✅
torchvision-densenet121_fp16	32	4,077.48	4,070.78	0.16%	✅
torchvision-inceptionv3	32	1,638.19	1,640.50	-0.14%	✅
torchvision-inceptionv3_fp16	32	2,770.13	2,764.39	0.21%	✅
cadene-inceptionv4	16	776.53	777.25	-0.09%	✅
cadene-resnext64x4	16	809.46	809.84	-0.05%	✅
slim-mobilenet	64	7,535.59	7,537.85	-0.03%	✅
slim-nasnetalarge	64	211.83	211.79	0.02%	✅
slim-resnet50v2	64	3,506.62	3,504.89	0.05%	✅
bert-mrpc-onnx	8	1,149.15	1,152.66	-0.30%	✅
bert-mrpc-tf	1	475.66	463.93	2.53%	✅
pytorch-examples-wlang-gru	1	427.58	485.39	-11.91%	🔴
pytorch-examples-wlang-lstm	1	405.24	384.58	5.37%	🔆
torchvision-resnet50_1	1	776.46	817.62	-5.03%	🔴
cadene-dpn92_1	1	435.30	399.06	9.08%	🔆
cadene-resnext101_1	1	383.07	382.30	0.20%	✅
onnx-taau-downsample	1	342.77	343.08	-0.09%	✅
dlrm-criteoterabyte	1	33.32	33.33	-0.03%	✅
dlrm-criteoterabyte_fp16	1	52.72	52.74	-0.04%	✅
agentmodel	1	9,197.77	8,377.88	9.79%	🔆
unet_fp16	2	58.97	58.79	0.31%	✅
resnet50v1_fp16	1	931.46	937.71	-0.67%	✅
resnet50v1_int8	1	963.67	1,041.29	-7.45%	🔴
bert_base_cased_fp16	64	1,170.02	1,170.74	-0.06%	✅
bert_large_uncased_fp16	32	363.56	363.58	-0.00%	✅
bert_large_fp16	1	198.98	199.03	-0.03%	✅
distilgpt2_fp16	16	2,204.72	2,199.30	0.25%	✅
yolov5s	1	534.50	540.42	-1.10%	✅
tinyllama	1	43.45	43.45	0.01%	✅
vicuna-fastchat	1	170.71	169.65	0.63%	✅
whisper-tiny-encoder	1	418.14	418.63	-0.12%	✅
whisper-tiny-decoder	1	426.17	430.21	-0.94%	✅

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

[pfultz2]

This is variable is not used, and should be removed. Also the other hip_has_flags function should be removed.