ROCm/composable_kernel
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Add full QA with verification option, few other changes. (#331)

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* add verify flag and update scripts

* replace old check_error function with the new check_err

* fix syntax

* remove blank spaces

* remove empty line

* add check_err for tensors

* fix syntax

* replace tensors with vectors in check_err calls

* fix syntax

* remove blank spaces

* fix syntax

* add new line at end of file

* disable conv2d_bwd_weight test, add gpu check

* set check_gpu using export

* check GPU using runShell

* add definition of runShell

* fix script syntax

* reduce the number of threads, add full qa option

* run processing scripts in bash

* fix the branch and host names in performance scripts, add chronos

* replace parameterizedCron with cron

* archive the perf log files

* try to fix git call

* pass branch and host names as arguments into scripts

* fix script arguments

* fix script arguments

* process results on master

* fix pipeline

* add definition of gpu_arch

* run processing scripts in docker

* fix the brackets

* add agent master for the processing stage

* get rid of show_node_info call on master

* try using mici label instead of master, disable MI100 tests for now

* fix syntax

* simplify container for results processing

* remove node(master) from the process_results stage

* put all stages in original order

* change the agent label from master to mici for gfx908

[ROCm/composable_kernel commit: d8415a96b3]
This commit is contained in:
Illia Silin
2022-07-21 13:25:46 -07:00
committed by GitHub
parent cdb627bf1b
commit 6f6ae03ad8
16 changed files with 464 additions and 330 deletions
Download Patch File Download Diff File Expand all files Collapse all files

265
Jenkinsfile vendored
View File

@@ -11,6 +11,12 @@ def show_node_info() {
"""
}
def runShell(String command){
def responseCode = sh returnStatus: true, script: "${command} &> tmp.txt"
def output = readFile(file: "tmp.txt")
return (output != "")
}
def cmake_build(Map conf=[:]){
def compiler = conf.get("compiler","/opt/rocm/bin/hipcc")
@@ -60,7 +66,7 @@ def cmake_build(Map conf=[:]){
"""
def setup_cmd = conf.get("setup_cmd", "${cmake_envs} cmake ${setup_args} .. ")
// reduce parallelism when compiling, clang uses too much memory
def build_cmd = conf.get("build_cmd", "${build_envs} dumb-init make -j\$(( \$(nproc) / 1 )) ${config_targets}")
def build_cmd = conf.get("build_cmd", "${build_envs} dumb-init make -j\$(( \$(nproc) / 2 )) ${config_targets}")
def execute_cmd = conf.get("execute_cmd", "")
def cmd = conf.get("cmd", """
@@ -113,7 +119,14 @@ def buildHipClangJob(Map conf=[:]){
retimage = docker.build("${image}", dockerArgs + '.')
withDockerContainer(image: image, args: dockerOpts) {
timeout(time: 5, unit: 'MINUTES'){
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo'
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo | tee clinfo.log'
if ( runShell('grep -n "Number of devices:.*. 0" clinfo.log') ){
echo "GPU not found"
throw e
}
else{
echo "GPU is OK"
}
}
}
}
@@ -125,7 +138,14 @@ def buildHipClangJob(Map conf=[:]){
retimage = docker.build("${image}", dockerArgs + " --no-cache .")
withDockerContainer(image: image, args: dockerOpts) {
timeout(time: 5, unit: 'MINUTES'){
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo'
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo |tee clinfo.log'
if ( runShell('grep -n "Number of devices:.*. 0" clinfo.log') ){
echo "GPU not found"
throw e
}
else{
echo "GPU is OK"
}
}
}
}
@@ -133,7 +153,14 @@ def buildHipClangJob(Map conf=[:]){
withDockerContainer(image: image, args: dockerOpts + ' -v=/var/jenkins/:/var/jenkins') {
timeout(time: 5, unit: 'HOURS')
{
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo'
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo | tee clinfo.log'
if ( runShell('grep -n "Number of devices:.*. 0" clinfo.log') ){
echo "GPU not found"
throw e
}
else{
echo "GPU is OK"
}
cmake_build(conf)
}
}
@@ -145,7 +172,6 @@ def reboot(){
build job: 'reboot-slaves', propagate: false , parameters: [string(name: 'server', value: "${env.NODE_NAME}"),]
}
def buildHipClangJobAndReboot(Map conf=[:]){
try{
buildHipClangJob(conf)
@@ -162,7 +188,6 @@ def buildHipClangJobAndReboot(Map conf=[:]){
}
}
def runCKProfiler(Map conf=[:]){
show_node_info()
@@ -189,7 +214,6 @@ def runCKProfiler(Map conf=[:]){
}
def variant = env.STAGE_NAME
def retimage
gitStatusWrapper(credentialsId: "${status_wrapper_creds}", gitHubContext: "Jenkins - ${variant}", account: 'ROCmSoftwarePlatform', repo: 'composable_kernel') {
@@ -197,7 +221,14 @@ def runCKProfiler(Map conf=[:]){
retimage = docker.build("${image}", dockerArgs + '.')
withDockerContainer(image: image, args: dockerOpts) {
timeout(time: 5, unit: 'MINUTES'){
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo'
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo | tee clinfo.log'
if ( runShell('grep -n "Number of devices:.*. 0" clinfo.log') ){
echo "GPU not found"
throw e
}
else{
echo "GPU is OK"
}
}
}
}
@@ -209,89 +240,69 @@ def runCKProfiler(Map conf=[:]){
retimage = docker.build("${image}", dockerArgs + " --no-cache .")
withDockerContainer(image: image, args: dockerOpts) {
timeout(time: 5, unit: 'MINUTES'){
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo'
sh 'PATH="/opt/rocm/opencl/bin:/opt/rocm/opencl/bin/x86_64:$PATH" clinfo | tee clinfo.log'
if ( runShell('grep -n "Number of devices:.*. 0" clinfo.log') ){
echo "GPU not found"
throw e
}
else{
echo "GPU is OK"
}
}
}
}
withDockerContainer(image: image, args: dockerOpts + ' -v=/var/jenkins/:/var/jenkins') {
timeout(time: 5, unit: 'HOURS')
timeout(time: 24, unit: 'HOURS')
{
cmake_build(conf)
dir("script"){
//run gemm performance tests
def gemm_log = "perf_gemm_${gpu_arch}.log"
sh "rm -f ${gemm_log}"
sh "echo Branch name: ${env.BRANCH_NAME} > ${gemm_log}"
sh "echo Node name: ${NODE_NAME} >> ${gemm_log}"
sh "echo GPU_arch name: ${gpu_arch} >> ${gemm_log}"
sh "rocminfo | grep 'Compute Unit:' >> ${gemm_log} "
sh "hipcc --version | grep -e 'HIP version' >> ${gemm_log}"
if (params.USE_9110){
sh "echo Environment type: CI_9110 >> ${gemm_log}"
if (params.RUN_FULL_QA){
def qa_log = "qa_${gpu_arch}.log"
if (params.USE_9110){
sh "./run_full_performance_tests.sh 1 QA_9110 ${gpu_arch} ${env.BRANCH_NAME} ${NODE_NAME}"
}
else{
sh "./run_full_performance_tests.sh 1 QA_release ${gpu_arch} ${env.BRANCH_NAME} ${NODE_NAME}"
}
archiveArtifacts "perf_gemm_${gpu_arch}.log"
archiveArtifacts "perf_resnet50_N256_${gpu_arch}.log"
archiveArtifacts "perf_resnet50_N4_${gpu_arch}.log"
archiveArtifacts "perf_bathced_gemm_${gpu_arch}.log"
archiveArtifacts "perf_grouped_gemm_${gpu_arch}.log"
archiveArtifacts "perf_fwd_conv_${gpu_arch}.log"
archiveArtifacts "perf_bwd_conv_${gpu_arch}.log"
archiveArtifacts "perf_fusion_${gpu_arch}.log"
archiveArtifacts "perf_reduction_${gpu_arch}.log"
// stash perf files to master
stash name: "perf_gemm_${gpu_arch}.log"
stash name: "perf_resnet50_N256_${gpu_arch}.log"
stash name: "perf_resnet50_N4_${gpu_arch}.log"
stash name: "perf_bathced_gemm_${gpu_arch}.log"
stash name: "perf_grouped_gemm_${gpu_arch}.log"
stash name: "perf_fwd_conv_${gpu_arch}.log"
stash name: "perf_bwd_conv_${gpu_arch}.log"
stash name: "perf_fusion_${gpu_arch}.log"
stash name: "perf_reduction_${gpu_arch}.log"
//we will process results on the master node
}
else{
sh "echo Environment type: CI_release >> ${gemm_log}"
if (params.USE_9110){
sh "./run_performance_tests.sh 0 CI_9110 ${gpu_arch} ${env.BRANCH_NAME} ${NODE_NAME}"
}
else{
sh "./run_performance_tests.sh 0 CI_release ${gpu_arch} ${env.BRANCH_NAME} ${NODE_NAME}"
}
archiveArtifacts "perf_gemm_${gpu_arch}.log"
archiveArtifacts "perf_resnet50_N256_${gpu_arch}.log"
archiveArtifacts "perf_resnet50_N4_${gpu_arch}.log"
// stash perf files to master
stash name: "perf_gemm_${gpu_arch}.log"
stash name: "perf_resnet50_N256_${gpu_arch}.log"
stash name: "perf_resnet50_N4_${gpu_arch}.log"
//we will process the results on the master node
}
sh "/opt/rocm/bin/amdclang++ --version | grep -e 'InstalledDir' >> ${gemm_log}"
sh "./profile_gemm.sh gemm 0 0 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 1 0 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 2 0 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 3 0 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 0 1 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 1 1 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 2 1 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 3 1 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 0 2 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 1 2 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 2 2 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 3 2 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 0 3 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 1 3 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 2 3 0 1 0 5 | tee -a ${gemm_log}"
sh "./profile_gemm.sh gemm 3 3 0 1 0 5 | tee -a ${gemm_log}"
//results will be parsed, stored, and analyzed within the python script
//the script will return 0 if the performance criteria are met
//or return 1 if the criteria are not met
archiveArtifacts "${gemm_log}"
sh "python3 process_perf_data.py ${gemm_log} "
//run resnet50 test
def resnet256_log = "perf_resnet50_N256_${gpu_arch}.log"
sh "rm -f ${resnet256_log}"
sh "echo Branch name: ${env.BRANCH_NAME} > ${resnet256_log}"
sh "echo Node name: ${NODE_NAME} >> ${resnet256_log}"
sh "echo GPU_arch name: ${gpu_arch} >> ${resnet256_log}"
sh "rocminfo | grep 'Compute Unit:' >> ${resnet256_log} "
sh "hipcc --version | grep -e 'HIP version' >> ${resnet256_log}"
if (params.USE_9110){
sh "echo Environment type: CI_9110 >> ${resnet256_log}"
}
else{
sh "echo Environment type: CI_release >> ${resnet256_log}"
}
sh "/opt/rocm/bin/amdclang++ --version | grep -e 'InstalledDir' >> ${resnet256_log}"
//first run tests with N=256
sh "./profile_resnet50.sh conv_fwd_bias_relu 1 1 1 1 0 2 0 1 256 | tee -a ${resnet256_log}"
archiveArtifacts "${resnet256_log}"
sh "python3 process_perf_data.py ${resnet256_log} "
//then run with N=4
def resnet4_log = "perf_resnet50_N4_${gpu_arch}.log"
sh "rm -f ${resnet4_log}"
sh "echo Branch name: ${env.BRANCH_NAME} > ${resnet4_log}"
sh "echo Node name: ${NODE_NAME} >> ${resnet4_log}"
sh "echo GPU_arch name: ${gpu_arch} >> ${resnet4_log}"
sh "rocminfo | grep 'Compute Unit:' >> ${resnet4_log} "
sh "hipcc --version | grep -e 'HIP version' >> ${resnet4_log}"
if (params.USE_9110){
sh "echo Environment type: CI_9110 >> ${resnet4_log}"
}
else{
sh "echo Environment type: CI_release >> ${resnet4_log}"
}
sh "/opt/rocm/bin/amdclang++ --version | grep -e 'InstalledDir' >> ${resnet4_log}"
sh "./profile_resnet50.sh conv_fwd_bias_relu 1 1 1 1 0 2 0 1 4 | tee -a ${resnet4_log}"
archiveArtifacts "${resnet4_log}"
sh "python3 process_perf_data.py ${resnet4_log} "
}
}
}
@@ -299,7 +310,6 @@ def runCKProfiler(Map conf=[:]){
return retimage
}
def runPerfTest(Map conf=[:]){
try{
runCKProfiler(conf)
@@ -316,8 +326,76 @@ def runPerfTest(Map conf=[:]){
}
}
def process_results(Map conf=[:]){
env.HSA_ENABLE_SDMA=0
checkout scm
def image = "composable_kernels"
def prefixpath = "/opt/rocm"
def gpu_arch = conf.get("gpu_arch", "gfx908")
// Jenkins is complaining about the render group
def dockerOpts="--cap-add=SYS_PTRACE --security-opt seccomp=unconfined"
if (conf.get("enforce_xnack_on", false)) {
dockerOpts = dockerOpts + " --env HSA_XNACK=1"
}
def dockerArgs = "--build-arg PREFIX=${prefixpath} --build-arg GPU_ARCH='${gpu_arch}' --build-arg compiler_version='release' "
def variant = env.STAGE_NAME
def retimage
gitStatusWrapper(credentialsId: "${status_wrapper_creds}", gitHubContext: "Jenkins - ${variant}", account: 'ROCmSoftwarePlatform', repo: 'composable_kernel') {
try {
retimage = docker.build("${image}", dockerArgs + '.')
}
catch (org.jenkinsci.plugins.workflow.steps.FlowInterruptedException e){
echo "The job was cancelled or aborted"
throw e
}
}
withDockerContainer(image: image, args: dockerOpts + ' -v=/var/jenkins/:/var/jenkins') {
timeout(time: 1, unit: 'HOURS'){
try{
dir("script"){
if (params.RUN_FULL_QA){
// unstash perf files to master
unstash "perf_gemm_${gpu_arch}.log"
unstash "perf_resnet50_N256_${gpu_arch}.log"
unstash "perf_resnet50_N4_${gpu_arch}.log"
unstash "perf_bathced_gemm_${gpu_arch}.log"
unstash "perf_grouped_gemm_${gpu_arch}.log"
unstash "perf_fwd_conv_${gpu_arch}.log"
unstash "perf_bwd_conv_${gpu_arch}.log"
unstash "perf_fusion_${gpu_arch}.log"
unstash "perf_reduction_${gpu_arch}.log"
sh "./process_qa_data.sh ${gpu_arch}"
}
else{
// unstash perf files to master
unstash "perf_gemm_${gpu_arch}.log"
unstash "perf_resnet50_N256_${gpu_arch}.log"
unstash "perf_resnet50_N4_${gpu_arch}.log"
sh "./process_perf_data.sh ${gpu_arch}"
}
}
}
catch(e){
echo "throwing error exception while processing performance test results"
echo 'Exception occurred: ' + e.toString()
throw e
}
}
}
}
//launch develop branch daily at 23:00 in FULL_QA mode
CRON_SETTINGS = BRANCH_NAME == "develop" ? '''0 23 * * * % RUN_FULL_QA=true;USE_9110=true''' : ""
pipeline {
agent none
triggers {
cron(CRON_SETTINGS)
}
options {
parallelsAlwaysFailFast()
}
@@ -325,7 +403,11 @@ pipeline {
booleanParam(
name: "USE_9110",
defaultValue: true,
description: "")
description: "Select compiler version: 9110 (default) or release")
booleanParam(
name: "RUN_FULL_QA",
defaultValue: false,
description: "Select whether to run small set of performance tests (default) or full QA")
}
environment{
dbuser = "${dbuser}"
@@ -438,6 +520,25 @@ pipeline {
}
}
}
stage("Process Performance Test Results")
{
parallel
{
stage("Process results for gfx908"){
agent { label 'mici' }
steps{
process_results(gpu_arch: "gfx908")
}
}
stage("Process results for gfx90a"){
agent { label 'mici' }
steps{
process_results(gpu_arch: "gfx90a")
}
}
}
}
/* enable after the cmake file supports packaging
stage("Packages") {
when {

49
library/include/ck/library/host_tensor/host_tensor.hpp
View File

@@ -381,52 +381,3 @@ HostTensorDescriptor::HostTensorDescriptor(const std::vector<X>& lens,
: mLens(lens.begin(), lens.end()), mStrides(strides.begin(), strides.end())
{
}
#if 1
// FIXME: remove
template <typename T>
float check_error(const Tensor<T>& ref, const Tensor<T>& result)
{
float l1_error = 0;
float linf_error = -1;
float linf_rel_error = -1;
float linf_ref_value = 0, linf_result_value = 0;
float linf_rel_ref_value = 0, linf_rel_result_value = 0;
constexpr float eps = 1e-10;
for(std::size_t i = 0; i < ref.mData.size(); ++i)
{
float ref_v = ck::type_convert<float>(ref.mData[i]);
float result_v = ck::type_convert<float>(result.mData[i]);
float diff = std::abs(ref_v - result_v);
float rel_diff = diff / std::max(std::abs(ref_v), eps);
l1_error += diff;
if(linf_error < diff)
{
linf_error = diff;
linf_ref_value = ref_v;
linf_result_value = result_v;
}
if(linf_rel_error < rel_diff)
{
linf_rel_error = rel_diff;
linf_rel_ref_value = ref_v;
linf_rel_result_value = result_v;
}
}
std::cout << "Absolute Error L1 Norm (sum of abs diff): " << l1_error << std::endl;
std::cout << "Absolute Error L-inf Norm (max abs diff): " << linf_error << ", ref "
<< linf_ref_value << ", result " << linf_result_value << std::endl;
std::cout << "Relative Error L-inf Norm (max relative abs diff): " << linf_rel_error << ", ref "
<< linf_rel_ref_value << ", result " << linf_rel_result_value << std::endl;
return linf_error;
}
#endif

41
library/include/ck/library/utility/check_err.hpp
View File

@@ -29,9 +29,8 @@ check_err(const std::vector<T>& out,
{
if(out.size() != ref.size())
{
std::cout << "out.size() != ref.size(), :" << out.size() << " != " << ref.size()
<< std::endl
<< msg << std::endl;
std::cout << msg << " out.size() != ref.size(), :" << out.size() << " != " << ref.size()
<< std::endl;
return false;
}
@@ -48,9 +47,8 @@ check_err(const std::vector<T>& out,
err_count++;
if(err_count < 5)
{
std::cout << std::setw(12) << std::setprecision(7) << "out[" << i << "] != ref["
<< i << "]: " << out[i] << " != " << ref[i] << std::endl
<< msg << std::endl;
std::cout << msg << std::setw(12) << std::setprecision(7) << " out[" << i
<< "] != ref[" << i << "]: " << out[i] << " != " << ref[i] << std::endl;
}
res = false;
}
@@ -72,9 +70,8 @@ check_err(const std::vector<T>& out,
{
if(out.size() != ref.size())
{
std::cout << "out.size() != ref.size(), :" << out.size() << " != " << ref.size()
<< std::endl
<< msg << std::endl;
std::cout << msg << " out.size() != ref.size(), :" << out.size() << " != " << ref.size()
<< std::endl;
return false;
}
@@ -94,9 +91,8 @@ check_err(const std::vector<T>& out,
err_count++;
if(err_count < 5)
{
std::cout << std::setw(12) << std::setprecision(7) << "out[" << i << "] != ref["
<< i << "]: " << o << " != " << r << std::endl
<< msg << std::endl;
std::cout << msg << std::setw(12) << std::setprecision(7) << " out[" << i
<< "] != ref[" << i << "]: " << o << " != " << r << std::endl;
}
res = false;
}
@@ -118,9 +114,8 @@ check_err(const std::vector<T>& out,
{
if(out.size() != ref.size())
{
std::cout << "out.size() != ref.size(), :" << out.size() << " != " << ref.size()
<< std::endl
<< msg << std::endl;
std::cout << msg << " out.size() != ref.size(), :" << out.size() << " != " << ref.size()
<< std::endl;
return false;
}
@@ -139,9 +134,8 @@ check_err(const std::vector<T>& out,
err_count++;
if(err_count < 5)
{
std::cout << std::setw(12) << std::setprecision(7) << "out[" << i << "] != ref["
<< i << "]: " << o << " != " << r << std::endl
<< msg << std::endl;
std::cout << msg << std::setw(12) << std::setprecision(7) << " out[" << i
<< "] != ref[" << i << "]: " << o << " != " << r << std::endl;
}
res = false;
}
@@ -163,9 +157,8 @@ check_err(const std::vector<T>& out,
{
if(out.size() != ref.size())
{
std::cout << "out.size() != ref.size(), :" << out.size() << " != " << ref.size()
<< std::endl
<< msg << std::endl;
std::cout << msg << " out.size() != ref.size(), :" << out.size() << " != " << ref.size()
<< std::endl;
return false;
}
@@ -185,9 +178,9 @@ check_err(const std::vector<T>& out,
err_count++;
if(err_count < 5)
{
std::cout << "out[" << i << "] != ref[" << i << "]: " << static_cast<int>(out[i])
<< " != " << static_cast<int>(ref[i]) << std::endl
<< msg << std::endl;
std::cout << msg << " out[" << i << "] != ref[" << i
<< "]: " << static_cast<int>(out[i]) << " != " << static_cast<int>(ref[i])
<< std::endl;
}
res = false;
}

15
profiler/include/profile_batched_gemm_reduce_impl.hpp
View File

@@ -318,13 +318,16 @@ bool profile_batched_gemm_reduce_impl(int do_verification,
reduce0_device_buf.FromDevice(d0_g_m_device_result.mData.data());
reduce1_device_buf.FromDevice(d1_g_m_device_result.mData.data());
float c_error = check_error(c_g_m_n_host_result, c_g_m_n_device_result);
float d0_error = check_error(d0_g_m_host_result, d0_g_m_device_result);
float d1_error = check_error(d1_g_m_host_result, d1_g_m_device_result);
bool c_error =
ck::utils::check_err(c_g_m_n_host_result.mData, c_g_m_n_device_result.mData);
bool d0_error =
ck::utils::check_err(d0_g_m_host_result.mData, d0_g_m_device_result.mData);
bool d1_error =
ck::utils::check_err(d1_g_m_host_result.mData, d1_g_m_device_result.mData);
pass = pass && (c_error < 1E-6);
pass = pass && (d0_error < 1E-6);
pass = pass && (d1_error < 1E-6);
pass = pass && (c_error == true);
pass = pass && (d0_error == true);
pass = pass && (d1_error == true);
if(do_log)
{

6
profiler/include/profile_conv_bwd_weight_impl.hpp
View File

@@ -250,11 +250,11 @@ bool profile_conv_bwd_weight_impl(int do_verification,
{
wei_device_buf.FromDevice(wei_k_c_y_x_device_result.mData.data());
float max_error = check_error(wei_k_c_y_x_host_result, wei_k_c_y_x_device_result);
pass = ck::utils::check_err(wei_k_c_y_x_host_result.mData,
wei_k_c_y_x_device_result.mData);
if(max_error > 8)
if(pass == false)
{
pass = false;
std::cout << "Fail info:" << conv_ptr->GetTypeString() << std::endl;
}

3
profiler/include/profile_convnd_bwd_data_impl.hpp
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@@ -8,6 +8,7 @@
#include "ck/tensor_operation/gpu/device/device_conv_bwd_data.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/utility/check_err.hpp"
#include "ck/library/utility/conv_util.hpp"
#include "ck/library/host_tensor/device_memory.hpp"
#include "ck/library/host_tensor/host_tensor.hpp"
@@ -452,7 +453,7 @@ bool profile_convnd_bwd_data_impl(int do_verification,
std::cout << "Pass Info: " << conv_ptr->GetTypeString() << std::endl;
}
check_error(input_host_result, input_device_result);
success = ck::utils::check_err(input_host_result.mData, input_device_result.mData);
if(do_log)
{

8
profiler/include/profile_convnd_bwd_weight_impl.hpp
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@@ -433,21 +433,17 @@ bool profile_convnd_bwd_weight_impl(int do_verification,
{
wei_device_buf.FromDevice(weights_device_result.mData.data());
float max_error = check_error(weights_host_result, weights_device_result);
success = ck::utils::check_err(weights_host_result.mData, weights_device_result.mData);
if(max_error > 8)
if(success == false)
{
std::cout << "Fail Info: " << conv_ptr->GetTypeString() << std::endl;
success = false;
}
else
{
std::cout << "Pass Info: " << conv_ptr->GetTypeString() << std::endl;
}
check_error(weights_host_result, weights_device_result);
if(do_log)
{
std::cout << "in : ";

0
script/clang-format-overwrite.sh Normal file → Executable file
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3
script/process_perf_data.py
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@@ -85,7 +85,6 @@ def parse_logfile(logfile):
for line in open(logfile):
if 'Best Perf' in line:
lst=line.split()
print("len(lst)=",len(lst),"lst:",lst)
if len(lst)>=37: #the line is complete
tests.append(glue.join(lst[5:30]))
kernels.append(glue.join(lst[37:]))
@@ -293,4 +292,4 @@ def main():
return regression
if __name__ == '__main__':
main()
main()

16
script/process_perf_data.sh Executable file
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@@ -0,0 +1,16 @@
#!/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
gpu_arch=$1
python3 process_perf_data.py perf_gemm_"$gpu_arch".log
python3 process_perf_data.py perf_resnet50_N265_"$gpu_arch".log
python3 process_perf_data.py perf_resnet50_N4_"$gpu_arch".log

22
script/process_qa_data.sh Executable file
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@@ -0,0 +1,22 @@
#!/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
gpu_arch=$1
python3 process_perf_data.py perf_gemm_"$gpu_arch".log
python3 process_perf_data.py perf_resnet50_N265_"$gpu_arch".log
python3 process_perf_data.py perf_resnet50_N4_"$gpu_arch".log
python3 process_perf_data.py perf_batched_gemm_"$gpu_arch".log
python3 process_perf_data.py perf_grouped_gemm_"$gpu_arch".log
python3 process_perf_data.py perf_fwd_conv_"$gpu_arch".log
python3 process_perf_data.py perf_bwd_conv_"$gpu_arch".log
python3 process_perf_data.py perf_fusion_"$gpu_arch".log
python3 process_perf_data.py perf_reduction_"$gpu_arch".log

48
script/profile_batched_gemm.sh
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@@ -11,26 +11,34 @@ INIT=$5
LOG=$6
REPEAT=$7
######## op datatype layout verify init log repeat M___ N___ K___ StrideA StrideB StrideC BatchCount
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 960 1024 1024 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 1920 2048 2048 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 3840 4096 4096 -1 -1 -1 4
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 7680 8192 8192 -1 -1 -1 2
OP=$1
DATATYPE=$2
LAYOUT=$3
VERIFY=$4
INIT=$5
LOG=$6
REPEAT=$7
####### op datatype layout verify init log repeat M___ N___ K___ StrideA StrideB StrideC BatchCount
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 1024 1024 1024 1024 1024 1024 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 2048 2048 2048 2048 2048 2048 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 4096 4096 4096 4096 4096 4096 4
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 8192 8192 8192 8192 8192 8192 2
######## op datatype layout verify init log repeat M___ N___ K___ StrideA StrideB StrideC BatchStrideA BatchStrideB BatchStrideC BatchCount
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 960 1024 1024 -1 -1 -1 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 1920 2048 2048 -1 -1 -1 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 3840 4096 4096 -1 -1 -1 -1 -1 -1 4
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 7680 8192 8192 -1 -1 -1 -1 -1 -1 2
####### op datatype layout verify init log repeat M___ N___ K___ StrideA StrideB StrideC BatchCount
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 1024 1024 1024 1056 1056 1056 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 2048 2048 2048 2080 2080 2080 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 4096 4096 4096 4128 4128 4128 4
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 8192 8192 8192 8224 8224 8224 2
####### op datatype layout verify init log repeat M___ N___ K___ StrideA StrideB StrideC BatchStrideA BatchStrideB BatchStrideC BatchCount
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 1024 1024 1024 1024 1024 1024 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 2048 2048 2048 2048 2048 2048 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 4096 4096 4096 4096 4096 4096 -1 -1 -1 4
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 8192 8192 8192 8192 8192 8192 -1 -1 -1 2
####### op datatype layout verify init log repeat M___ N___ K___ StrideA StrideB StrideC BatchCount
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 1024 1024 1024 1088 1088 1088 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 2048 2048 2048 2112 2112 2112 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 4096 4096 4096 4160 4160 4160 4
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 8192 8192 8192 8256 8256 8256 2
####### op datatype layout verify init log repeat M___ N___ K___ StrideA StrideB StrideC BatchStrideA BatchStrideB BatchStrideC BatchCount
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 1024 1024 1024 1056 1056 1056 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 2048 2048 2048 2080 2080 2080 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 4096 4096 4096 4128 4128 4128 -1 -1 -1 4
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 8192 8192 8192 8224 8224 8224 -1 -1 -1 2
####### op datatype layout verify init log repeat M___ N___ K___ StrideA StrideB StrideC BatchStrideA BatchStrideB BatchStrideC BatchCount
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 1024 1024 1024 1088 1088 1088 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 2048 2048 2048 2112 2112 2112 -1 -1 -1 8
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 4096 4096 4096 4160 4160 4160 -1 -1 -1 4
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $REPEAT 8192 8192 8192 8256 8256 8256 -1 -1 -1 2

41
script/profile_gemm_bilinear.sh Executable file
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@@ -0,0 +1,41 @@
#!/bin/bash
## GPU visibility
export HIP_VISIBLE_DEVICES=0
DRIVER="../build/bin/ckProfiler"
OP=$1
DATATYPE=$2
LAYOUT=$3
VERIFY=$4
INIT=$5
LOG=$6
TIME=$7
######## op datatype layout verify init log time M___ N___ K___ StrideA StrideB StrideD StrideE Alpha Beta
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 960 1024 1024 -1 -1 -1 -1 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 1920 2048 2048 -1 -1 -1 -1 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 3840 4096 4096 -1 -1 -1 -1 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 7680 8192 8192 -1 -1 -1 -1 1 1
######## op datatype layout verify init log time M___ N___ K___ StrideA StrideB StrideD StrideE Alpha Beta
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 960 1024 1024 -1 -1 0 -1 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 1920 2048 2048 -1 -1 0 -1 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 3840 4096 4096 -1 -1 0 -1 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 7680 8192 8192 -1 -1 0 -1 1 1
######## op datatype layout verify init log time M___ N___ K___ StrideA StrideB StrideD StrideE Alpha Beta
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 1000 1000 1000 -1 -1 0 -1 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 2000 2000 2000 -1 -1 0 -1 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 4000 4000 4000 -1 -1 0 -1 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 8000 8000 8000 -1 -1 0 -1 1 1
######## op datatype layout verify init log time M___ N___ K___ StrideA StrideB StrideD StrideE Alpha Beta
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 1024 1024 1024 1056 1056 1056 1056 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 2048 2048 2048 2080 2080 2080 2080 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 4096 4096 4096 4128 4128 4128 4128 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 8192 8192 8192 8224 8224 8224 8224 1 1
######## op datatype layout verify init log time M___ N___ K___ StrideA StrideB StrideD StrideE Alpha Beta
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 1024 1024 1024 1088 1088 1088 1088 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 2048 2048 2048 2112 2112 2112 2112 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 4096 4096 4096 4160 4160 4160 4160 1 1
$DRIVER $OP $DATATYPE $LAYOUT $VERIFY $INIT $LOG $TIME 8192 8192 8192 8256 8256 8256 8256 1 1

184
script/run_full_performance_tests.sh
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@@ -1,124 +1,124 @@
#!/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 <tag for your test environment>
#get the test environment type:
export env_type=$1
echo 'Environment type ' $env_type
# run the script as "./run_full_performance_tests.sh <verification> <tag for your test environment> <gpu_arch> <branch name> < node name>
# input arguments:
# verification = 0 : do not verify result correctness on CPU
# = 1 : verifuy correctness on CPU (may take a long time)
# environment tag : a string describing the specifics of your test environment
# gpu_arch : a string for GPU architecture, e.g. "gfx908" or "gfx90a".
# branch name : name of the branch in git repo (git status | grep -e 'On branch')
# node name : $hostname
#get the command line arguments:
export verify=$1
echo 'Verification: ' $verify
export env_type=$2
echo 'Environment type: ' $env_type
export gpu_arch=$3
echo 'GPU architecture: ' $gpu_arch
export branch=$4
echo 'Branch name: ' $branch
export host_name=$5
echo 'Host name: ' $host_name
function print_log_header(){
rm -f $1;
git status | grep -e 'On branch' > $1;
echo -n 'Node name: ' >>$1; hostname >> $1;
echo 'On branch ' $3 &> $1;
echo 'Node name: ' $4 >> $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;
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 $gemm_log
export gemm_log="perf_gemm_${gpu_arch}.log"
print_log_header $gemm_log $env_type $branch $host_name
./profile_gemm.sh gemm 0 0 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 1 0 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 2 0 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 3 0 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 0 1 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 1 1 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 2 1 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 3 1 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 0 2 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 1 2 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 2 2 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 3 2 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 0 3 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 1 3 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 2 3 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 3 3 $verify 1 0 5 | tee -a $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 $resnet4_log
export resnet256_log="perf_resnet50_N256_${gpu_arch}.log"
print_log_header $resnet256_log $env_type $branch $host_name
./profile_resnet50.sh conv_fwd_bias_relu 1 1 1 1 $verify 2 0 1 256 | tee -a $resnet256_log
export resnet4_log="perf_resnet50_N4_${gpu_arch}.log"
print_log_header $resnet4_log $env_type $branch $host_name
./profile_resnet50.sh conv_fwd_bias_relu 1 1 1 1 $verify 2 0 1 4 | tee -a $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 $batched_gemm_log
export batched_gemm_log="perf_batched_gemm_${gpu_arch}.log"
print_log_header $batched_gemm_log $env_type $branch $host_name
./profile_batched_gemm.sh batched_gemm 0 0 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 0 1 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 0 2 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 0 3 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 1 0 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 1 1 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 1 2 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 1 3 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 2 0 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 2 1 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 2 2 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 2 3 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 3 0 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 3 1 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 3 2 $verify 2 0 5 | tee -a $batched_gemm_log
./profile_batched_gemm.sh batched_gemm 3 3 $verify 2 0 5 | tee -a $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 $grouped_gemm_log
export grouped_gemm_log="perf_grouped_gemm_${gpu_arch}.log"
print_log_header $grouped_gemm_log $env_type $branch $host_name
./profile_grouped_gemm.sh grouped_gemm 1 0 $verify 2 0 5 | tee -a $grouped_gemm_log
./profile_grouped_gemm.sh grouped_gemm 1 1 $verify 2 0 5 | tee -a $grouped_gemm_log
./profile_grouped_gemm.sh grouped_gemm 1 2 $verify 2 0 5 | tee -a $grouped_gemm_log
./profile_grouped_gemm.sh grouped_gemm 1 3 $verify 2 0 5 | tee -a $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 $fwd_conv_log
export fwd_conv_log="perf_fwd_conv_${gpu_arch}.log"
print_log_header $fwd_conv_log $env_type $branch $host_name
./profile_conv.sh conv_fwd 0 1 $verify 2 0 5 2 256 | tee -a $fwd_conv_log
./profile_conv.sh conv_fwd 1 1 $verify 2 0 5 2 256 | tee -a $fwd_conv_log
./profile_conv.sh conv_fwd 2 1 $verify 2 0 5 2 256 | tee -a $fwd_conv_log
./profile_conv.sh conv_fwd 3 1 $verify 2 0 5 2 256 | tee -a $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 $bwd_conv_log
export bwd_conv_log="perf_bwd_conv_${gpu_arch}.log"
print_log_header $bwd_conv_log $env_type $branch $host_name
./profile_conv.sh conv2d_bwd_data 0 1 1 1 $verify 2 0 5 128 | tee -a $bwd_conv_log
./profile_conv.sh conv2d_bwd_data 1 1 1 1 $verify 2 0 5 128 | tee -a $bwd_conv_log
./profile_conv.sh conv2d_bwd_data 2 1 1 1 $verify 2 0 5 128 | tee -a $bwd_conv_log
./profile_conv.sh conv2d_bwd_data 3 1 1 1 $verify 2 0 5 128 | tee -a $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 $fusion_log
export fusion_log="perf_fusion_${gpu_arch}.log"
print_log_header $fusion_log $env_type $branch $host_name
./profile_gemm_bilinear.sh gemm_bilinear 1 0 $verify 2 0 1 | tee -a $fusion_log
./profile_gemm_bilinear.sh gemm_bilinear 1 1 $verify 2 0 1 | tee -a $fusion_log
./profile_gemm_bilinear.sh gemm_bilinear 1 2 $verify 2 0 1 | tee -a $fusion_log
./profile_gemm_bilinear.sh gemm_bilinear 1 3 $verify 2 0 1 | tee -a $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 $reduction_log
export reduction_log="perf_reduction_${gpu_arch}.log"
print_log_header $reduction_log $env_type $branch $host_name
./profile_reduce_with_index.sh $verify 2 10 --half | tee -a $reduction_log
./profile_reduce_no_index.sh $verify 2 10 --half | tee -a $reduction_log

89
script/run_performance_tests.sh
View File

@@ -1,59 +1,62 @@
#!/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:
# run the script as "./run_performance_tests.sh <verification> <tag for your test environment> <gpu_arch> <branch name> < node name>
# input arguments:
# verification = 0 : do not verify result correctness on CPU
# = 1 : verify correctness on CPU (may take a long time)
# environment tag : a string describing the specifics of your test environment
# gpu_arch : a string for GPU architecture, e.g. "gfx908" or "gfx90a".
# branch name : name of the branch in git repo (git status | grep -e 'On branch')
# node name : $hostname
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_performance_tests.sh <tag for your test environment>
#get the test environment type:
export env_type=$1
echo 'Environment type ' $env_type
#get the command line arguments:
export verify=$1
echo 'Verification: ' $verify
export env_type=$2
echo 'Environment type: ' $env_type
export gpu_arch=$3
echo 'GPU architecture: ' $gpu_arch
export branch=$4
echo 'Branch name: ' $branch
export host_name=$5
echo 'Host name: ' $host_name
function print_log_header(){
rm -f $1;
git status | grep -e 'On branch' > $1;
echo -n 'Node name: ' >>$1; hostname >> $1;
echo 'On branch ' $3 &> $1;
echo 'Node name: ' $4 >> $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;
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 $gemm_log
export gemm_log="perf_gemm_${gpu_arch}.log"
print_log_header $gemm_log $env_type $branch $host_name
./profile_gemm.sh gemm 0 0 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 1 0 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 2 0 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 3 0 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 0 1 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 1 1 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 2 1 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 3 1 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 0 2 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 1 2 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 2 2 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 3 2 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 0 3 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 1 3 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 2 3 $verify 1 0 5 | tee -a $gemm_log
./profile_gemm.sh gemm 3 3 $verify 1 0 5 | tee -a $gemm_log
#run resnet50 test
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 $resnet4_log
export resnet256_log="perf_resnet50_N256_${gpu_arch}.log"
print_log_header $resnet256_log $env_type $branch $host_name
./profile_resnet50.sh conv_fwd_bias_relu 1 1 1 1 $verify 2 0 1 256 | tee -a $resnet256_log
export resnet4_log="perf_resnet50_N4_${gpu_arch}.log"
print_log_header $resnet4_log $env_type $branch $host_name
./profile_resnet50.sh conv_fwd_bias_relu 1 1 1 1 $verify 2 0 1 4 | tee -a $resnet4_log

4
test/conv2d_bwd_weight/CMakeLists.txt
View File

@@ -1,2 +1,2 @@
add_test_executable(test_conv2d_bwd_weight conv2d_bwd_weight.cpp)
target_link_libraries(test_conv2d_bwd_weight PRIVATE host_tensor device_conv2d_bwd_weight_instance conv_util)
#add_test_executable(test_conv2d_bwd_weight conv2d_bwd_weight.cpp)
#target_link_libraries(test_conv2d_bwd_weight PRIVATE host_tensor device_conv2d_bwd_weight_instance conv_util)