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* turn on full qa only on gfx90a, use int initialization * change script syntax * update script parsing clinfo, throw exception if 0 devices * fix syntax * try using toBoolean for the QA conditions * run regular CI on MI100 only, use MI200 only for daily QA * evaluate when conditions before agent * launch QA on develop branch and update profile_reduce script * update test script * update script * remove false dependency from dockerfile * try removing rbuild completely Co-authored-by: Chao Liu <chao.liu2@amd.com> Co-authored-by: Chao Liu <lc.roy86@gmail.com>
22 lines
952 B
Bash
Executable File
22 lines
952 B
Bash
Executable File
#!/bin/bash
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#
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# in order to run this script you'd need the following python packages:
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pip3 install --upgrade pip
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pip3 install sqlalchemy pymysql pandas sshtunnel
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# you would also need to set up some environment variables in order to
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# post your new test results to the database and compare them to the baseline
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# please contact Illia.Silin@amd.com for more details
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#process results
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gpu_arch=$1
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python3 process_perf_data.py perf_gemm_"$gpu_arch".log
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python3 process_perf_data.py perf_resnet50_N265_"$gpu_arch".log
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python3 process_perf_data.py perf_resnet50_N4_"$gpu_arch".log
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python3 process_perf_data.py perf_batched_gemm_"$gpu_arch".log
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python3 process_perf_data.py perf_grouped_gemm_"$gpu_arch".log
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python3 process_perf_data.py perf_conv_fwd_"$gpu_arch".log
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python3 process_perf_data.py perf_conv_bwd_data_"$gpu_arch".log
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python3 process_perf_data.py perf_gemm_bilinear_"$gpu_arch".log
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python3 process_perf_data.py perf_reduction_"$gpu_arch".log |