ROCm/composable_kernel
1
0
Fork 0
mirror of https://github.com/ROCm/composable_kernel.git synced 2026-04-20 06:49:15 +00:00
Code Issues Packages Projects Releases Wiki Activity

[CK] Add command option instance_index and param_mask to run partial ck test (#2889)

Browse Source 
* [CK] Add command option instance_index and param_mask to run partial ck test

Many CK test are instance test. it will loop all instance in the instance library. It causes test often out-of-time if we run test on simulator/emulator.
This PR add option instance_index and param_mask to reduce the workload of instance test

instance_index: only run test 1 available instance with specified index.
param_mask: filter the embedded parameter with specified mask

* fix CI error

* fix clang format

---------

Co-authored-by: illsilin_amdeng <Illia.Silin@amd.com>
This commit is contained in:
linqunAMD
2025-09-30 23:24:40 +08:00
committed by GitHub
parent 28ad8ae5d8
commit e78a897ec0
113 changed files with 2804 additions and 704 deletions
Download Patch File Download Diff File Expand all files Collapse all files

67
test/batchnorm/batchnorm_infer_rank_4.cpp
View File

@@ -10,6 +10,9 @@
#include "profiler/profile_batchnorm_infer_impl.hpp"
static ck::index_t param_mask = 0xffff;
static ck::index_t instance_index = -1;
using F16 = ck::half_t;
using F32 = float;
using BF16 = ck::bhalf_t;
@@ -36,31 +39,38 @@ class TestBatchNormInferRank4 : public ::testing::Test
template <int NumReduceDim>
void Run()
{
for(auto& inOutLengths : list_of_lengths)
for(size_t i = 0; i < list_of_lengths.size(); i++)
{
bool pass = true;
if((param_mask & (1 << i)) == 0)
{
continue;
}
auto& inOutLengths = list_of_lengths[i];
bool pass = true;
EXPECT_FALSE(reduceDims.size() != NumReduceDim);
pass = pass && ck::profiler::profile_batchnorm_infer_impl<XDataType,
YDataType,
AccDataType,
ScaleDataType,
BiasDataType,
MeanVarDataType,
4,
NumReduceDim>(
true, 3, false, false, inOutLengths, reduceDims, epsilon);
pass = pass &&
ck::profiler::profile_batchnorm_infer_impl<XDataType,
YDataType,
AccDataType,
ScaleDataType,
BiasDataType,
MeanVarDataType,
4,
NumReduceDim>(
true, 3, false, false, inOutLengths, reduceDims, epsilon, instance_index);
pass = pass && ck::profiler::profile_batchnorm_infer_impl<XDataType,
YDataType,
AccDataType,
ScaleDataType,
BiasDataType,
MeanVarDataType,
4,
NumReduceDim>(
true, 3, false, false, inOutLengths, reduceDims, epsilon);
pass = pass &&
ck::profiler::profile_batchnorm_infer_impl<XDataType,
YDataType,
AccDataType,
ScaleDataType,
BiasDataType,
MeanVarDataType,
4,
NumReduceDim>(
true, 3, false, false, inOutLengths, reduceDims, epsilon, instance_index);
EXPECT_TRUE(pass);
}
@@ -100,3 +110,20 @@ TYPED_TEST(TestBatchNormInferRank4, nchw)
this->reduceDims = {0, 2, 3};
this->template Run<3>();
}
int main(int argc, char** argv)
{
testing::InitGoogleTest(&argc, argv);
if(argc == 1) {}
else if(argc == 3)
{
param_mask = strtol(argv[1], nullptr, 0);
instance_index = atoi(argv[2]);
}
else
{
std::cout << "Usage of " << argv[0] << std::endl;
std::cout << "Arg1,2: param_mask instance_index(-1 means all)" << std::endl;
}
return RUN_ALL_TESTS();
}