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* run ck_tile benchmarks after the smoke tests and store logs * change the path of fmha benchmark logs * change the way of stashig ck_tile fmha logs * prevent the errors in stages where no logs are generated * fix the ck_tile fmha log names and headers * generate the fmha performance logs in the root folder * change jenkins scrip arguments format * use exact file names for stashing * modify scripts to process FMHA performance results * unstash FMHA logs before parsing them
41 lines
1.4 KiB
Bash
Executable File
41 lines
1.4 KiB
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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python3 process_perf_data.py perf_gemm.log
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python3 process_perf_data.py perf_resnet50_N256.log
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python3 process_perf_data.py perf_resnet50_N4.log
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python3 process_perf_data.py perf_batched_gemm.log
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python3 process_perf_data.py perf_grouped_gemm.log
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python3 process_perf_data.py perf_conv_fwd.log
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python3 process_perf_data.py perf_conv_bwd_data.log
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python3 process_perf_data.py perf_gemm_bilinear.log
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python3 process_perf_data.py perf_reduction.log
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python3 process_perf_data.py perf_splitK_gemm.log
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python3 process_perf_data.py perf_onnx_gemm.log
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file=./perf_fmha_fwd_gfx942.log
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if [ -e "$file" ]; then
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python3 process_perf_data.py perf_fmha_fwd_gfx942.log
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fi
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file=./perf_fmha_bwd_gfx942.log
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if [ -e "$file" ]; then
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python3 process_perf_data.py perf_fmha_bwd_gfx942.log
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fi
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file=./perf_fmha_fwd_gfx90a.log
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if [ -e "$file" ]; then
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python3 process_perf_data.py perf_fmha_fwd_gfx90a.log
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fi
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file=./perf_fmha_bwd_gfx90a.log
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if [ -e "$file" ]; then
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python3 process_perf_data.py perf_fmha_bwd_gfx90a.log
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fi
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