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* add processing for the onng_gemm and splitK_gemm * add profile_onnx_gemm.sh * add stderr to logfiles, add splitK and onnx gemm parsing * enable splitK gemm wresults posting to db
25 lines
1.1 KiB
Bash
Executable File
25 lines
1.1 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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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_N256_"$gpu_arch".log
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python3 process_perf_data.py perf_resnet50_N4_"$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
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python3 process_perf_data.py perf_splitK_gemm_"$gpu_arch".log
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python3 process_perf_data.py perf_onnx_gemm_"$gpu_arch".log
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