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#!/bin/bash
#
# in order to run this script you'd need the following python packages:
#pip3 install --upgrade pip
#pip3 install sqlalchemy pymysql pandas sshtunnel
# you would also need to set up some environment variables in order to
# post your new test results to the database and compare them to the baseline
# please contact Illia.Silin@amd.com for more details
#process results
python3 process_perf_data.py perf_gemm.log
python3 process_perf_data.py perf_resnet50_N256.log
python3 process_perf_data.py perf_resnet50_N4.log
python3 process_perf_data.py perf_batched_gemm.log
python3 process_perf_data.py perf_grouped_gemm.log
python3 process_perf_data.py perf_grouped_conv_fwd.log
python3 process_perf_data.py perf_grouped_conv_bwd_data.log
python3 process_perf_data.py perf_grouped_conv_bwd_weight.log
python3 process_perf_data.py perf_gemm_bilinear.log
python3 process_perf_data.py perf_reduction.log
python3 process_perf_data.py perf_splitK_gemm.log
python3 process_perf_data.py perf_onnx_gemm.log
python3 process_perf_data.py perf_mixed_gemm.log
file=./perf_onnx_gemm_gfx10.log
if [ -e "$file" ]; then
python3 process_perf_data.py perf_onnx_gemm_gfx10.log
fi
file=./perf_onnx_gemm_gfx11.log
if [ -e "$file" ]; then
python3 process_perf_data.py perf_onnx_gemm_gfx11.log
fi
file=./perf_onnx_gemm_gfx12.log
if [ -e "$file" ]; then
python3 process_perf_data.py perf_onnx_gemm_gfx12.log
fi
file=./perf_fmha_fwd_gfx942.log
if [ -e "$file" ]; then
python3 process_perf_data.py perf_fmha_fwd_gfx942.log
fi
file=./perf_fmha_bwd_gfx942.log
if [ -e "$file" ]; then
python3 process_perf_data.py perf_fmha_bwd_gfx942.log
fi
file=./perf_fmha_fwd_gfx90a.log
if [ -e "$file" ]; then
python3 process_perf_data.py perf_fmha_fwd_gfx90a.log
fi
file=./perf_fmha_bwd_gfx90a.log
if [ -e "$file" ]; then
python3 process_perf_data.py perf_fmha_bwd_gfx90a.log
fi
for gpu in "gfx90a" "gfx942"; do
for dtype in "fp16" "bf16" "fp8" "bf8"; do
file=./perf_tile_gemm_mem_pipeline_${dtype}_${gpu}.log
if [ -e "$file" ]; then
python3 process_perf_data.py perf_tile_gemm_mem_pipeline_${dtype}_${gpu}.log
fi
done
done
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