ROCm/composable_kernel
1
0
Fork 0
mirror of https://github.com/ROCm/composable_kernel.git synced 2026-05-18 12:00:07 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix build errors on windows (#2456)

Browse Source 
* Fix build errors on windows

* correct clang format

---------

Co-authored-by: Lin, Qun <Quentin.Lin+amdeng@amd.com>

[ROCm/composable_kernel commit: 6e76b82059]
This commit is contained in:
linqunAMD
2025-07-16 22:58:23 +08:00
committed by GitHub
parent ab88625e88
commit 348dec0d0c
17 changed files with 67 additions and 59 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
example/34_batchnorm/batchnorm_backward_nhwc.cpp
View File

@@ -403,10 +403,10 @@ bool bnorm_bwd_nhwc_test(bool do_verification,
return (pass);
};
static const double epsilon = std::numeric_limits<float>::epsilon();
int main(int argc, char* argv[])
{
static const double epsilon = std::numeric_limits<float>::epsilon();
bool pass = true;
if(argc > 1)

5
example/34_batchnorm/batchnorm_forward_inferring_nhwc.cpp
View File

@@ -314,11 +314,10 @@ bool bnorm_infer_nhwc_test(bool do_verification,
return (pass);
};
static const double epsilon = std::numeric_limits<float>::epsilon();
int main(int argc, char* argv[])
{
bool pass = true;
static const double epsilon = std::numeric_limits<float>::epsilon();
bool pass = true;
if(argc > 1)
{

7
example/34_batchnorm/batchnorm_forward_training_nhwc.cpp
View File

@@ -453,12 +453,11 @@ bool bnorm_fwd_nhwc_test(bool do_verification,
return (pass);
};
const double epsilon = std::numeric_limits<float>::epsilon();
static const double averageFactor = 0.1;
int main(int argc, char* argv[])
{
bool pass = true;
const double epsilon = std::numeric_limits<float>::epsilon();
static const double averageFactor = 0.1;
bool pass = true;
if(argc > 1)
{

7
example/34_batchnorm/batchnorm_forward_training_nhwc_obsolete.cpp
View File

@@ -453,12 +453,11 @@ bool bnorm_fwd_nhwc_test(bool do_verification,
return (pass);
};
const double epsilon = std::numeric_limits<float>::epsilon();
static const double averageFactor = 0.1;
int main(int argc, char* argv[])
{
bool pass = true;
const double epsilon = std::numeric_limits<float>::epsilon();
static const double averageFactor = 0.1;
bool pass = true;
if(argc > 1)
{