Clean up conv example, Instances, profiler and test (#324)

* convnd_fwd fp16 example

* update example

* update example

* update instance

* updating refernce conv

* update reference conv

* update conv fwd profiler

* update conv 1d and 3d instance

* update include path

* clean

* update profiler for conv bwd data and weight

* update conv bwd weight

* clean

* update conv example

* update profiler for conv bwd weight

* update ckprofiler for conv bwd data

* fix reference conv bwd data bug; update conv bwd data test

* update examples

* fix initialization issue

* update test for conv fwd

* clean

* clean

* remove test case too sensitive to error threshhold

* fix test

* clean

* fix build

* adding conv multiple d

* adding conv multiple D

* add matrix padder

* add gemm padding to convnd

* adding group conv

* update gemm multi-d

* refactor

* refactor

* refactor

* clean

* clean

* refactor

* refactor

* reorg

* add ds

* add bias

* clean

* add G

* adding group

* adding group

* adding group

* update Tensor

* clean

* update example

* update DeviceGemmMultipleD_Xdl_CShuffle

* update conv bwd-data and bwd-weight

* upate contraction example

* update gemm and batch gemm with e permute

* fix example build

* instance for grouped conv1d

* update example

* adding group conv instance

* update gemm bilinear instance

* update gemm+add+add+fastgelu instance

* update profiler

* update profiler

* update test

* update test and client example

* clean

* add grouped conv into profiler

* update profiler

* clean

* add test grouped conv, update all conv test to gtest

* update test

[ROCm/composable_kernel commit: 500fa99512]
This commit is contained in:
Chao Liu
2022-07-29 18:19:25 -05:00
committed by GitHub
parent 1450273dc5
commit 236f946292
373 changed files with 17544 additions and 17013 deletions

View File

@@ -2,7 +2,9 @@ add_custom_target(test_layernorm)
add_gtest_executable(test_layernorm_fp32 test_layernorm_fp32.cpp)
add_gtest_executable(test_layernorm_fp16 test_layernorm_fp16.cpp)
target_link_libraries(test_layernorm_fp32 PRIVATE host_tensor)
target_link_libraries(test_layernorm_fp16 PRIVATE host_tensor)
target_link_libraries(test_layernorm_fp32 PRIVATE utility)
target_link_libraries(test_layernorm_fp16 PRIVATE utility)
add_dependencies(test_layernorm test_layernorm_fp32)
add_dependencies(test_layernorm test_layernorm_fp16)
add_dependencies(test_layernorm test_layernorm_fp16)

View File

@@ -12,8 +12,8 @@
#include "ck/tensor_operation/gpu/device/device_layernorm.hpp"
#include "ck/library/utility/check_err.hpp"
#include "ck/library/host_tensor/host_tensor.hpp"
#include "ck/library/host_tensor/device_memory.hpp"
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/device_memory.hpp"
#include "ck/library/reference_tensor_operation/cpu/reference_layernorm.hpp"
namespace ck {
@@ -102,10 +102,10 @@ class TestLayernorm : public ::testing::Test
gamma.GenerateTensorValue(GeneratorTensor_3<GammaDataType>{0.0, 1.0});
beta.GenerateTensorValue(GeneratorTensor_3<BetaDataType>{0.0, 1.0});
DeviceMem x_dev(sizeof(XDataType) * x.mDesc.GetElementSpace());
DeviceMem gamma_dev(sizeof(GammaDataType) * gamma.mDesc.GetElementSpace());
DeviceMem beta_dev(sizeof(BetaDataType) * beta.mDesc.GetElementSpace());
DeviceMem y_dev(sizeof(YDataType) * y.mDesc.GetElementSpace());
DeviceMem x_dev(sizeof(XDataType) * x.mDesc.GetElementSpaceSize());
DeviceMem gamma_dev(sizeof(GammaDataType) * gamma.mDesc.GetElementSpaceSize());
DeviceMem beta_dev(sizeof(BetaDataType) * beta.mDesc.GetElementSpaceSize());
DeviceMem y_dev(sizeof(YDataType) * y.mDesc.GetElementSpaceSize());
x_dev.ToDevice(x.mData.data());
gamma_dev.ToDevice(gamma.mData.data());