SWDEV-451864 - Remove the hard coded path in MIGRAPHX_CXX_COMPILER

[raramakr]

amdclang++/amdclang can be invoked without providing absolute path, since update-alternatives command has been run for these binaries This will also help to remove the hard coded paths in cmake target files for these compilers

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.04%. Comparing base (01c94fa) to head (05eac04).
Report is 61 commits behind head on develop.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #3377      +/-   ##
===========================================
- Coverage    92.26%   92.04%   -0.23%     
===========================================
  Files          500      506       +6     
  Lines        20057    20872     +815     
===========================================
+ Hits         18506    19212     +706     
- Misses        1551     1660     +109     

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[pfultz2]

This should still use the absolute path so we can be sure its using the same compiler the developer set migraphx to build with. I dont see any reason why this should be changed either as it doesnt affect any users.

[raramakr]

This should still use the absolute path so we can be sure its using the same compiler the developer set migraphx to build with. I dont see any reason why this should be changed either as it doesnt affect any users.

As part of our efforts to make ROCm relocatable , these hard coded paths need to be removed.

[migraphx-bot]

Test	Batch	Rate new 05eac0	Rate old e230c0	Diff	Compare
torchvision-resnet50	64	3,239.39	3,249.77	-0.32%	✅
torchvision-resnet50_fp16	64	6,878.90	6,987.71	-1.56%	✅
torchvision-densenet121	32	2,429.95	2,431.48	-0.06%	✅
torchvision-densenet121_fp16	32	4,084.29	4,103.92	-0.48%	✅
torchvision-inceptionv3	32	1,634.62	1,637.67	-0.19%	✅
torchvision-inceptionv3_fp16	32	2,736.73	2,744.19	-0.27%	✅
cadene-inceptionv4	16	771.54	779.19	-0.98%	✅
cadene-resnext64x4	16	807.62	808.74	-0.14%	✅
slim-mobilenet	64	7,440.05	7,462.54	-0.30%	✅
slim-nasnetalarge	64	207.46	208.50	-0.50%	✅
slim-resnet50v2	64	3,340.64	3,435.17	-2.75%	✅
bert-mrpc-onnx	8	1,152.72	1,150.08	0.23%	✅
bert-mrpc-tf	1	308.02	314.23	-1.98%	✅
pytorch-examples-wlang-gru	1	425.72	420.51	1.24%	✅
pytorch-examples-wlang-lstm	1	388.40	495.59	-21.63%	🔴
torchvision-resnet50_1	1	801.92	770.67	4.05%	🔆
cadene-dpn92_1	1	434.30	402.30	7.95%	🔆
cadene-resnext101_1	1	380.85	381.59	-0.19%	✅
onnx-taau-downsample	1	344.52	343.63	0.26%	✅
dlrm-criteoterabyte	1	35.07	35.05	0.04%	✅
dlrm-criteoterabyte_fp16	1	57.31	58.08	-1.32%	✅
agentmodel	1	8,043.50	8,076.83	-0.41%	✅
unet_fp16	2	57.78	57.92	-0.24%	✅
resnet50v1_fp16	1	930.21	935.45	-0.56%	✅
resnet50v1_int8	1	918.13	956.44	-4.01%	🔴
bert_base_cased_fp16	64	1,141.31	1,153.21	-1.03%	✅
bert_large_uncased_fp16	32	351.55	355.68	-1.16%	✅
bert_large_fp16	1	209.89	211.87	-0.93%	✅
distilgpt2_fp16	16	2,152.62	2,159.18	-0.30%	✅
yolov5s	1	504.55	533.70	-5.46%	🔴
tinyllama	1	43.43	43.69	-0.58%	✅
vicuna-fastchat	1	172.59	172.04	0.32%	✅
whisper-tiny-encoder	1	412.64	417.90	-1.26%	✅
whisper-tiny-decoder	1	418.96	424.90	-1.40%	✅

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