#!/bin/bash # # in order to run this script you'd first need to build the ckProfiler executable in ../build/bin/ # and make sure the following python packages are installed in your environment: 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 # # run the script as "./run_full_performance_tests.sh #get the test environment type: export env_type=$1 echo 'Environment type ' $env_type function print_log_header(){ rm -f $1; git status | grep -e 'On branch' > $1; echo -n 'Node name: ' >>$1; hostname >> $1; #get GPU_arch and number of compute units from rocminfo echo -n "GPU_arch: " >> $1; rocminfo | grep "Name:" | grep "gfx" >> $1; rocminfo | grep "Compute Unit:" >> $1; hipcc --version | grep -e 'HIP version' >> $1; echo 'Environment type: ' $2 >>$1; /opt/rocm/bin/amdclang++ --version | grep -e 'InstalledDir' >> $1; } #run gemm tests export gemm_log="perf_gemm.log" print_log_header $gemm_log $env_type ./profile_gemm.sh gemm 0 0 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 1 0 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 2 0 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 3 0 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 0 1 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 1 1 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 2 1 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 3 1 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 0 2 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 1 2 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 2 2 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 3 2 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 0 3 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 1 3 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 2 3 0 1 0 5 | tee -a $gemm_log ./profile_gemm.sh gemm 3 3 0 1 0 5 | tee -a $gemm_log python3 process_perf_data.py $gemm_log #run resnet50 tests export resnet256_log="perf_resnet50_N256.log" print_log_header $resnet256_log $env_type ./profile_resnet50.sh conv_fwd_bias_relu 1 1 1 1 0 2 0 1 256 | tee -a $resnet256_log python3 process_perf_data.py $resnet256_log export resnet4_log="perf_resnet50_N4.log" print_log_header $resnet4_log $env_type ./profile_resnet50.sh conv_fwd_bias_relu 1 1 1 1 0 2 0 1 4 | tee -a $resnet4_log python3 process_perf_data.py $resnet4_log #run batched_gemm tests export batched_gemm_log="perf_batched_gemm.log" print_log_header $batched_gemm_log $env_type ./profile_batched_gemm.sh batched_gemm 0 0 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 0 1 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 0 2 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 0 3 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 1 0 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 1 1 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 1 2 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 1 3 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 2 0 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 2 1 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 2 2 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 2 3 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 3 0 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 3 1 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 3 2 0 2 0 5 | tee -a $batched_gemm_log ./profile_batched_gemm.sh batched_gemm 3 3 0 2 0 5 | tee -a $batched_gemm_log python3 process_perf_data.py $batched_gemm_log #run grouped_gemm tests export grouped_gemm_log="perf_grouped_gemm.log" print_log_header $grouped_gemm_log $env_type ./profile_grouped_gemm.sh grouped_gemm 1 0 0 2 0 5 | tee -a $grouped_gemm_log ./profile_grouped_gemm.sh grouped_gemm 1 1 0 2 0 5 | tee -a $grouped_gemm_log ./profile_grouped_gemm.sh grouped_gemm 1 2 0 2 0 5 | tee -a $grouped_gemm_log ./profile_grouped_gemm.sh grouped_gemm 1 3 0 2 0 5 | tee -a $grouped_gemm_log python3 process_perf_data.py $grouped_gemm_log #run fwd_conv tests export fwd_conv_log="perf_fwd_conv.log" print_log_header $fwd_conv_log $env_type ./profile_conv.sh conv_fwd 0 1 0 2 0 5 2 256 | tee -a $fwd_conv_log ./profile_conv.sh conv_fwd 1 1 0 2 0 5 2 256 | tee -a $fwd_conv_log ./profile_conv.sh conv_fwd 2 1 0 2 0 5 2 256 | tee -a $fwd_conv_log ./profile_conv.sh conv_fwd 3 1 0 2 0 5 2 256 | tee -a $fwd_conv_log python3 process_perf_data.py $fwd_conv_log #run bwd_conv tests export bwd_conv_log="perf_bwd_conv.log" print_log_header $bwd_conv_log $env_type ./profile_conv.sh conv2d_bwd_data 0 1 1 1 0 2 0 5 128 | tee -a $bwd_conv_log ./profile_conv.sh conv2d_bwd_data 1 1 1 1 0 2 0 5 128 | tee -a $bwd_conv_log ./profile_conv.sh conv2d_bwd_data 2 1 1 1 0 2 0 5 128 | tee -a $bwd_conv_log ./profile_conv.sh conv2d_bwd_data 3 1 1 1 0 2 0 5 128 | tee -a $bwd_conv_log python3 process_perf_data.py $bwd_conv_log #run fusion tests export fusion_log="perf_fusion.log" print_log_header $fusion_log $env_type ./profile_gemm_bias_relu_add.sh gemm_bias_relu_add 1 0 0 2 0 5 | tee -a $fusion_log ./profile_gemm_bias_relu_add.sh gemm_bias_relu_add 1 1 0 2 0 5 | tee -a $fusion_log ./profile_gemm_bias_relu_add.sh gemm_bias_relu_add 1 2 0 2 0 5 | tee -a $fusion_log ./profile_gemm_bias_relu_add.sh gemm_bias_relu_add 1 3 0 2 0 5 | tee -a $fusion_log python3 process_perf_data.py $fusion_log #run reduction tests export reduction_log="perf_reduction.log" print_log_header $reduction_log $env_type ./profile_reduce_with_index.sh 0 2 10 --half | tee -a $reduction_log ./profile_reduce_no_index.sh 0 2 10 --half | tee -a $reduction_log python3 process_perf_data.py $reduction_log