mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-06-06 07:12:19 +00:00
Merge remote-tracking branch 'origin/develop' into myamlak/cgemm
This commit is contained in:
@@ -1,4 +1,5 @@
|
||||
include_directories(BEFORE
|
||||
${PROJECT_SOURCE_DIR}/
|
||||
${PROJECT_SOURCE_DIR}/include/ck
|
||||
${PROJECT_SOURCE_DIR}/include/ck/utility
|
||||
${PROJECT_SOURCE_DIR}/include/ck/tensor_description
|
||||
@@ -21,7 +22,8 @@ include_directories(BEFORE
|
||||
${PROJECT_SOURCE_DIR}/external/include/half
|
||||
)
|
||||
|
||||
add_custom_target(check COMMAND ${CMAKE_CTEST_COMMAND} --output-on-failure -C ${CMAKE_CFG_INTDIR})
|
||||
include(googletest)
|
||||
|
||||
add_custom_target(tests)
|
||||
|
||||
|
||||
@@ -41,7 +43,7 @@ function(add_gtest_executable TEST_NAME)
|
||||
add_dependencies(tests ${TEST_NAME})
|
||||
add_dependencies(check ${TEST_NAME})
|
||||
# suppress gtest warnings
|
||||
target_compile_options(${TEST_NAME} PRIVATE -Wno-global-constructors)
|
||||
target_compile_options(${TEST_NAME} PRIVATE -Wno-global-constructors -Wno-undef)
|
||||
target_link_libraries(${TEST_NAME} PRIVATE gtest_main)
|
||||
gtest_discover_tests(${TEST_NAME})
|
||||
endfunction(add_gtest_executable TEST_NAME)
|
||||
@@ -60,4 +62,6 @@ add_subdirectory(grouped_gemm)
|
||||
add_subdirectory(convnd_fwd)
|
||||
add_subdirectory(reduce)
|
||||
add_subdirectory(conv2d_bwd_weight)
|
||||
add_subdirectory(convnd_bwd_data)
|
||||
add_subdirectory(cgemm)
|
||||
# DONOT add client_app, that is tested via CI independently
|
||||
|
||||
@@ -22,7 +22,7 @@ int main()
|
||||
Row,
|
||||
Row,
|
||||
Row>(
|
||||
true, 1, false, 1, M, N, K, K, N, N, BatchCount);
|
||||
true, 1, false, false, M, N, K, K, N, N, BatchCount);
|
||||
|
||||
pass = pass && ck::profiler::profile_batched_gemm_reduce_impl<ck::half_t,
|
||||
ck::half_t,
|
||||
@@ -31,7 +31,7 @@ int main()
|
||||
Row,
|
||||
Col,
|
||||
Row>(
|
||||
true, 1, false, 1, M, N, K, K, K, N, BatchCount);
|
||||
true, 1, false, false, M, N, K, K, K, N, BatchCount);
|
||||
|
||||
pass = pass && ck::profiler::profile_batched_gemm_reduce_impl<ck::half_t,
|
||||
ck::half_t,
|
||||
@@ -40,7 +40,7 @@ int main()
|
||||
Col,
|
||||
Row,
|
||||
Row>(
|
||||
true, 1, false, 1, M, N, K, M, N, N, BatchCount);
|
||||
true, 1, false, false, M, N, K, M, N, N, BatchCount);
|
||||
|
||||
pass = pass && ck::profiler::profile_batched_gemm_reduce_impl<ck::half_t,
|
||||
ck::half_t,
|
||||
@@ -49,7 +49,7 @@ int main()
|
||||
Col,
|
||||
Col,
|
||||
Row>(
|
||||
true, 1, false, 1, M, N, K, M, K, N, BatchCount);
|
||||
true, 1, false, false, M, N, K, M, K, N, BatchCount);
|
||||
|
||||
if(pass)
|
||||
{
|
||||
|
||||
11
test/client_app/CMakeLists.txt
Normal file
11
test/client_app/CMakeLists.txt
Normal file
@@ -0,0 +1,11 @@
|
||||
cmake_minimum_required(VERSION 3.15)
|
||||
project(ck_app)
|
||||
add_compile_options(-std=c++14)
|
||||
|
||||
find_package(composable_kernel 1.0.0 COMPONENTS device_operations host_tensor)
|
||||
find_package(hip REQUIRED PATHS /opt/rocm)
|
||||
message(STATUS "Build with HIP ${hip_VERSION}")
|
||||
|
||||
add_executable(test_client_app client_app.cpp)
|
||||
|
||||
target_link_libraries(test_client_app PRIVATE composable_kernel::device_operations composable_kernel::host_tensor hip::host)
|
||||
77
test/client_app/client_app.cpp
Normal file
77
test/client_app/client_app.cpp
Normal file
@@ -0,0 +1,77 @@
|
||||
#include <iostream>
|
||||
#include <numeric>
|
||||
#include <initializer_list>
|
||||
#include <cstdlib>
|
||||
#include <stdlib.h>
|
||||
#include <half.hpp>
|
||||
#include <vector>
|
||||
|
||||
#include "client_app_impl.hpp"
|
||||
|
||||
int main(int argc, char* argv[])
|
||||
{
|
||||
if(argc != 25)
|
||||
{
|
||||
printf("arg1: tensor operation (conv_fwd: ForwardConvolution)\n");
|
||||
printf("arg2: data type (0: fp32; 1: fp16)\n");
|
||||
printf("arg3: input tensor layout (0: NCHW; 1: NHWC)\n");
|
||||
printf("arg4: weight tensor layout (0: KCYX; 1: KYXC)\n");
|
||||
printf("arg5: output tensor layout (0: NKHW; 1: NHWK)\n");
|
||||
printf("arg6: verification (0: no; 1: yes)\n");
|
||||
printf("arg7: initialization (0: no init; 1: integer value; 2: decimal value)\n");
|
||||
printf("arg8: print tensor value (0: no; 1: yes)\n");
|
||||
printf("arg9: time kernel (0=n0, 1=yes)\n");
|
||||
printf("arg10 to 24: N, K, C, Y, X, Hi, Wi, Sy, Sx, Dy, Dx, LeftPy, LeftPx, RightPy, "
|
||||
"RightPx\n");
|
||||
exit(1);
|
||||
}
|
||||
|
||||
const ConvDataType data_type = static_cast<ConvDataType>(std::stoi(argv[2]));
|
||||
const int in_layout = static_cast<ConvInputLayout>(std::stoi(argv[3]));
|
||||
const int wei_layout = static_cast<ConvWeightLayout>(std::stoi(argv[4]));
|
||||
const int out_layout = static_cast<ConvOutputLayout>(std::stoi(argv[5]));
|
||||
const bool do_verification = std::stoi(argv[6]);
|
||||
const int init_method = std::stoi(argv[7]);
|
||||
const bool do_log = std::stoi(argv[8]);
|
||||
const bool time_kernel = std::stoi(argv[9]);
|
||||
|
||||
const ck::index_t N = std::stoi(argv[10]);
|
||||
const ck::index_t K = std::stoi(argv[11]);
|
||||
const ck::index_t C = std::stoi(argv[12]);
|
||||
const ck::index_t Y = std::stoi(argv[13]);
|
||||
const ck::index_t X = std::stoi(argv[14]);
|
||||
const ck::index_t Hi = std::stoi(argv[15]);
|
||||
const ck::index_t Wi = std::stoi(argv[16]);
|
||||
|
||||
const ck::index_t conv_stride_h = std::stoi(argv[17]);
|
||||
const ck::index_t conv_stride_w = std::stoi(argv[18]);
|
||||
const ck::index_t conv_dilation_h = std::stoi(argv[19]);
|
||||
const ck::index_t conv_dilation_w = std::stoi(argv[20]);
|
||||
const ck::index_t in_left_pad_h = std::stoi(argv[21]);
|
||||
const ck::index_t in_left_pad_w = std::stoi(argv[22]);
|
||||
const ck::index_t in_right_pad_h = std::stoi(argv[23]);
|
||||
const ck::index_t in_right_pad_w = std::stoi(argv[24]);
|
||||
|
||||
const ck::index_t YEff = (Y - 1) * conv_dilation_h + 1;
|
||||
const ck::index_t XEff = (X - 1) * conv_dilation_w + 1;
|
||||
|
||||
const ck::index_t Ho = (Hi + in_left_pad_h + in_right_pad_h - YEff) / conv_stride_h + 1;
|
||||
const ck::index_t Wo = (Wi + in_left_pad_w + in_right_pad_w - XEff) / conv_stride_w + 1;
|
||||
|
||||
ck::app::profile_conv_fwd_impl(do_verification,
|
||||
init_method,
|
||||
do_log,
|
||||
time_kernel,
|
||||
data_type,
|
||||
N,
|
||||
K,
|
||||
C,
|
||||
std::vector<ck::index_t>{Hi, Wi},
|
||||
std::vector<ck::index_t>{Y, X},
|
||||
std::vector<ck::index_t>{Ho, Wo},
|
||||
std::vector<ck::index_t>{conv_stride_h, conv_stride_w},
|
||||
std::vector<ck::index_t>{conv_dilation_h, conv_dilation_w},
|
||||
std::vector<ck::index_t>{in_left_pad_h, in_left_pad_w},
|
||||
std::vector<ck::index_t>{in_right_pad_h, in_right_pad_w});
|
||||
return 1;
|
||||
}
|
||||
214
test/client_app/client_app_impl.hpp
Normal file
214
test/client_app/client_app_impl.hpp
Normal file
@@ -0,0 +1,214 @@
|
||||
#pragma once
|
||||
|
||||
#include "host_interface.hpp"
|
||||
|
||||
enum ConvDataType
|
||||
{
|
||||
F32_F32_F32, // 0
|
||||
F16_F16_F16, // 1
|
||||
BF16_BF16_BF16, // 2
|
||||
INT8_INT8_INT8, // 3
|
||||
};
|
||||
|
||||
enum ConvInputLayout
|
||||
{
|
||||
NCHW, // 0
|
||||
NHWC, // 1
|
||||
};
|
||||
|
||||
enum ConvWeightLayout
|
||||
{
|
||||
KCYX, // 0
|
||||
KYXC, // 1
|
||||
};
|
||||
|
||||
enum ConvOutputLayout
|
||||
{
|
||||
NKHW, // 0
|
||||
NHWK, // 1
|
||||
};
|
||||
|
||||
void check_hip_error(void)
|
||||
{
|
||||
hipError_t err = hipGetLastError();
|
||||
if(err != hipSuccess)
|
||||
{
|
||||
std::cerr << "Error: " << hipGetErrorString(err) << std::endl;
|
||||
exit(err);
|
||||
}
|
||||
}
|
||||
std::string getDeviceName(int device)
|
||||
{
|
||||
struct hipDeviceProp_t prop;
|
||||
hipGetDeviceProperties(&prop, device);
|
||||
check_hip_error();
|
||||
return std::string(prop.name);
|
||||
}
|
||||
|
||||
int getDriver(void)
|
||||
{
|
||||
int driver;
|
||||
hipDriverGetVersion(&driver);
|
||||
check_hip_error();
|
||||
return driver;
|
||||
}
|
||||
|
||||
namespace ck {
|
||||
namespace app {
|
||||
struct DeviceMem
|
||||
{
|
||||
DeviceMem() = delete;
|
||||
DeviceMem(std::size_t mem_size);
|
||||
void* GetDeviceBuffer();
|
||||
void ToDevice(const void* p);
|
||||
void FromDevice(void* p);
|
||||
~DeviceMem();
|
||||
|
||||
void* mpDeviceBuf;
|
||||
std::size_t mMemSize;
|
||||
};
|
||||
|
||||
DeviceMem::DeviceMem(std::size_t mem_size) : mMemSize(mem_size)
|
||||
{
|
||||
hipGetErrorString(hipMalloc(static_cast<void**>(&mpDeviceBuf), mMemSize));
|
||||
}
|
||||
|
||||
void* DeviceMem::GetDeviceBuffer() { return mpDeviceBuf; }
|
||||
|
||||
void DeviceMem::ToDevice(const void* p)
|
||||
{
|
||||
hipGetErrorString(
|
||||
hipMemcpy(mpDeviceBuf, const_cast<void*>(p), mMemSize, hipMemcpyHostToDevice));
|
||||
}
|
||||
|
||||
void DeviceMem::FromDevice(void* p)
|
||||
{
|
||||
hipGetErrorString(hipMemcpy(p, mpDeviceBuf, mMemSize, hipMemcpyDeviceToHost));
|
||||
}
|
||||
|
||||
DeviceMem::~DeviceMem() { hipGetErrorString(hipFree(mpDeviceBuf)); }
|
||||
|
||||
void profile_conv_fwd_impl(int do_verification,
|
||||
int init_method,
|
||||
bool do_log,
|
||||
bool time_kernel,
|
||||
ConvDataType data_type,
|
||||
ck::index_t N,
|
||||
ck::index_t K,
|
||||
ck::index_t C,
|
||||
std::vector<ck::index_t> input_spatial_lengths,
|
||||
std::vector<ck::index_t> filter_spatial_lengths,
|
||||
std::vector<ck::index_t> output_spatial_lengths,
|
||||
std::vector<ck::index_t> conv_filter_strides,
|
||||
std::vector<ck::index_t> conv_filter_dilations,
|
||||
std::vector<ck::index_t> input_left_pads,
|
||||
std::vector<ck::index_t> input_right_pads)
|
||||
{
|
||||
const ck::index_t Y = filter_spatial_lengths[0];
|
||||
const ck::index_t X = filter_spatial_lengths[1];
|
||||
|
||||
const ck::index_t Hi = input_spatial_lengths[0];
|
||||
const ck::index_t Wi = input_spatial_lengths[1];
|
||||
|
||||
const ck::index_t Ho = output_spatial_lengths[0];
|
||||
const ck::index_t Wo = output_spatial_lengths[1];
|
||||
|
||||
const auto in_sz = N * C * Hi * Wi;
|
||||
const auto wei_sz = K * C * Y * X;
|
||||
const auto out_sz = N * K * Ho * Wo;
|
||||
|
||||
using WeiDataType = float;
|
||||
using InDataType = float;
|
||||
using OutDataType = float;
|
||||
|
||||
app::DeviceMem in_device_buf(sizeof(InDataType) * in_sz);
|
||||
app::DeviceMem wei_device_buf(sizeof(WeiDataType) * wei_sz);
|
||||
app::DeviceMem out_device_buf(sizeof(OutDataType) * out_sz);
|
||||
// data is already on device!
|
||||
|
||||
// add device Conv instances
|
||||
std::vector<DeviceConvFwdPtr_t> conv_ptrs;
|
||||
if(data_type == F16_F16_F16)
|
||||
{
|
||||
add_device_conv2d_fwd_xdl_c_shuffle_nhwc_kyxc_nhwk_f16_instances_t(conv_ptrs);
|
||||
add_device_conv2d_fwd_xdl_nhwc_kyxc_nhwk_f16_instances_t(conv_ptrs);
|
||||
}
|
||||
else if(data_type == BF16_BF16_BF16)
|
||||
add_device_conv2d_fwd_xdl_nhwc_kyxc_nhwk_bf16_instances_t(conv_ptrs);
|
||||
else if(data_type == F32_F32_F32)
|
||||
add_device_conv2d_fwd_xdl_nhwc_kyxc_nhwk_f32_instances_t(conv_ptrs);
|
||||
else if(data_type == INT8_INT8_INT8)
|
||||
add_device_conv2d_fwd_xdl_nhwc_kyxc_nhwk_int8_instances_t(conv_ptrs);
|
||||
else
|
||||
throw std::runtime_error("wrong! Invalid data type");
|
||||
if(conv_ptrs.empty())
|
||||
{
|
||||
throw std::runtime_error("wrong! no device Conv instance found");
|
||||
}
|
||||
|
||||
std::string best_conv_name;
|
||||
float best_ave_time = 0;
|
||||
float best_tflops = 0;
|
||||
float best_gb_per_sec = 0;
|
||||
int deviceIndex = 0;
|
||||
hipSetDevice(deviceIndex);
|
||||
check_hip_error();
|
||||
|
||||
StreamConfig stream_config{nullptr, time_kernel};
|
||||
hipStreamCreate(&stream_config.stream_id_);
|
||||
check_hip_error();
|
||||
|
||||
// profile device Conv instances
|
||||
for(auto& conv_ptr : conv_ptrs)
|
||||
{
|
||||
auto argument_ptr =
|
||||
conv_ptr.MakeArgumentPointer(static_cast<void*>(in_device_buf.GetDeviceBuffer()),
|
||||
static_cast<void*>(wei_device_buf.GetDeviceBuffer()),
|
||||
static_cast<void*>(out_device_buf.GetDeviceBuffer()),
|
||||
N,
|
||||
K,
|
||||
C,
|
||||
input_spatial_lengths,
|
||||
filter_spatial_lengths,
|
||||
output_spatial_lengths,
|
||||
conv_filter_strides,
|
||||
conv_filter_dilations,
|
||||
input_left_pads,
|
||||
input_right_pads);
|
||||
|
||||
auto invoker_ptr = conv_ptr.MakeInvokerPointer();
|
||||
|
||||
if(conv_ptr.IsSupportedArgument(argument_ptr.get()))
|
||||
{
|
||||
std::string conv_name = conv_ptr.GetTypeString();
|
||||
float ave_time = invoker_ptr->Run(argument_ptr.get(), stream_config);
|
||||
|
||||
std::size_t flop = std::size_t(2) * N * K * Ho * Wo * C * Y * X;
|
||||
|
||||
std::size_t num_btype = sizeof(InDataType) * (N * C * Hi * Wi) +
|
||||
sizeof(WeiDataType) * (K * C * Y * X) +
|
||||
sizeof(OutDataType) * (N * K * Ho * Wo);
|
||||
|
||||
float tflops = static_cast<float>(flop) / 1.E9 / ave_time;
|
||||
|
||||
float gb_per_sec = num_btype / 1.E6 / ave_time;
|
||||
|
||||
std::cout << "Perf: " << ave_time << " ms, " << tflops << " TFlops, " << gb_per_sec
|
||||
<< " GB/s, " << conv_name << std::endl;
|
||||
|
||||
if(tflops > best_tflops)
|
||||
{
|
||||
best_conv_name = conv_name;
|
||||
best_tflops = tflops;
|
||||
best_ave_time = ave_time;
|
||||
best_gb_per_sec = gb_per_sec;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
|
||||
<< best_gb_per_sec << " GB/s, " << best_conv_name << std::endl;
|
||||
}
|
||||
|
||||
} // namespace app
|
||||
} // namespace ck
|
||||
@@ -4,4 +4,4 @@ include_directories(BEFORE
|
||||
)
|
||||
|
||||
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_fwd_util)
|
||||
target_link_libraries(test_conv2d_bwd_weight PRIVATE host_tensor device_conv2d_bwd_weight_instance conv_util)
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
#include <half.hpp>
|
||||
#include <vector>
|
||||
|
||||
#include "conv_fwd_util.hpp"
|
||||
#include "conv_util.hpp"
|
||||
#include "profile_conv_bwd_weight_impl.hpp"
|
||||
|
||||
int test_self()
|
||||
@@ -28,20 +28,20 @@ int test_self()
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads,
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_,
|
||||
2);
|
||||
|
||||
// fp16
|
||||
@@ -52,28 +52,28 @@ int test_self()
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads,
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_,
|
||||
2);
|
||||
}
|
||||
return pass;
|
||||
}
|
||||
int main(int argc, char* argv[])
|
||||
{
|
||||
int data_type = 0;
|
||||
int init_method = 0;
|
||||
int data_type = 1;
|
||||
int init_method = 1;
|
||||
|
||||
// Conv shape
|
||||
ck::index_t N = 128;
|
||||
@@ -155,20 +155,20 @@ int main(int argc, char* argv[])
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK>(
|
||||
1,
|
||||
true, // do_verification
|
||||
init_method,
|
||||
0,
|
||||
1,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads,
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_,
|
||||
split_k);
|
||||
}
|
||||
else if(data_type == 1)
|
||||
@@ -180,20 +180,20 @@ int main(int argc, char* argv[])
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK>(
|
||||
1,
|
||||
true, // do_verification
|
||||
init_method,
|
||||
0,
|
||||
1,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads,
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_,
|
||||
split_k);
|
||||
}
|
||||
else
|
||||
|
||||
@@ -1,2 +1,2 @@
|
||||
add_gtest_executable(test_conv_util conv_util.cpp)
|
||||
target_link_libraries(test_conv_util PRIVATE host_tensor conv_fwd_util)
|
||||
target_link_libraries(test_conv_util PRIVATE host_tensor conv_util)
|
||||
|
||||
@@ -1,10 +1,10 @@
|
||||
#include <iostream>
|
||||
#include <string>
|
||||
#include <vector>
|
||||
#include "gtest/gtest.h"
|
||||
#include <gtest/gtest.h>
|
||||
|
||||
#include "config.hpp"
|
||||
#include "conv_fwd_util.hpp"
|
||||
#include "conv_util.hpp"
|
||||
#include "tensor_layout.hpp"
|
||||
#include "check_err.hpp"
|
||||
|
||||
@@ -15,13 +15,13 @@ class TestConvUtil : public ::testing::Test
|
||||
public:
|
||||
void SetNDParams(std::size_t ndims)
|
||||
{
|
||||
conv_params.num_dim_spatial = ndims;
|
||||
conv_params.filter_spatial_lengths = std::vector<ck::index_t>(ndims, 3);
|
||||
conv_params.input_spatial_lengths = std::vector<ck::index_t>(ndims, 71);
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>(ndims, 2);
|
||||
conv_params.conv_filter_dilations = std::vector<ck::index_t>(ndims, 1);
|
||||
conv_params.input_left_pads = std::vector<ck::index_t>(ndims, 1);
|
||||
conv_params.input_right_pads = std::vector<ck::index_t>(ndims, 1);
|
||||
conv_params.num_dim_spatial_ = ndims;
|
||||
conv_params.filter_spatial_lengths_ = std::vector<ck::index_t>(ndims, 3);
|
||||
conv_params.input_spatial_lengths_ = std::vector<ck::index_t>(ndims, 71);
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>(ndims, 2);
|
||||
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>(ndims, 1);
|
||||
conv_params.input_left_pads_ = std::vector<ck::index_t>(ndims, 1);
|
||||
conv_params.input_right_pads_ = std::vector<ck::index_t>(ndims, 1);
|
||||
}
|
||||
|
||||
protected:
|
||||
@@ -44,29 +44,29 @@ TEST_F(TestConvUtil, ConvParamsGetOutputSpatialLengths2D)
|
||||
std::vector<ck::index_t>{36, 36},
|
||||
"Error: ConvParams 2D default constructor."));
|
||||
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>{1, 1};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(
|
||||
out_spatial_len, std::vector<ck::index_t>{71, 71}, "Error: ConvParams 2D stride {1,1}."));
|
||||
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>{2, 2};
|
||||
conv_params.input_left_pads = std::vector<ck::index_t>{2, 2};
|
||||
conv_params.input_right_pads = std::vector<ck::index_t>{2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{2, 2};
|
||||
conv_params.input_left_pads_ = std::vector<ck::index_t>{2, 2};
|
||||
conv_params.input_right_pads_ = std::vector<ck::index_t>{2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(out_spatial_len,
|
||||
std::vector<ck::index_t>{37, 37},
|
||||
"Error: ConvParams 2D padding left/right {2,2}."));
|
||||
|
||||
conv_params.conv_filter_dilations = std::vector<ck::index_t>{2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(
|
||||
out_spatial_len, std::vector<ck::index_t>{36, 36}, "Error: ConvParams 2D dilation {2,2}."));
|
||||
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>{3, 3};
|
||||
conv_params.input_left_pads = std::vector<ck::index_t>{1, 1};
|
||||
conv_params.input_right_pads = std::vector<ck::index_t>{1, 1};
|
||||
conv_params.conv_filter_dilations = std::vector<ck::index_t>{2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{3, 3};
|
||||
conv_params.input_left_pads_ = std::vector<ck::index_t>{1, 1};
|
||||
conv_params.input_right_pads_ = std::vector<ck::index_t>{1, 1};
|
||||
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(
|
||||
ck::utils::check_err(out_spatial_len,
|
||||
std::vector<ck::index_t>{23, 23},
|
||||
@@ -81,29 +81,29 @@ TEST_F(TestConvUtil, ConvParamsGetOutputSpatialLengths1D)
|
||||
EXPECT_TRUE(ck::utils::check_err(
|
||||
out_spatial_len, std::vector<ck::index_t>{36}, "Error: ConvParams 1D."));
|
||||
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>{1};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{1};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(
|
||||
out_spatial_len, std::vector<ck::index_t>{71}, "Error: ConvParams 1D stride {1}."));
|
||||
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>{2};
|
||||
conv_params.input_left_pads = std::vector<ck::index_t>{2};
|
||||
conv_params.input_right_pads = std::vector<ck::index_t>{2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{2};
|
||||
conv_params.input_left_pads_ = std::vector<ck::index_t>{2};
|
||||
conv_params.input_right_pads_ = std::vector<ck::index_t>{2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(out_spatial_len,
|
||||
std::vector<ck::index_t>{37},
|
||||
"Error: ConvParams 1D padding left/right {2}."));
|
||||
|
||||
conv_params.conv_filter_dilations = std::vector<ck::index_t>{2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(
|
||||
out_spatial_len, std::vector<ck::index_t>{36}, "Error: ConvParams 1D dilation {2}."));
|
||||
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>{3};
|
||||
conv_params.input_left_pads = std::vector<ck::index_t>{1};
|
||||
conv_params.input_right_pads = std::vector<ck::index_t>{1};
|
||||
conv_params.conv_filter_dilations = std::vector<ck::index_t>{2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{3};
|
||||
conv_params.input_left_pads_ = std::vector<ck::index_t>{1};
|
||||
conv_params.input_right_pads_ = std::vector<ck::index_t>{1};
|
||||
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(
|
||||
ck::utils::check_err(out_spatial_len,
|
||||
std::vector<ck::index_t>{23},
|
||||
@@ -118,31 +118,31 @@ TEST_F(TestConvUtil, ConvParamsGetOutputSpatialLengths3D)
|
||||
EXPECT_TRUE(ck::utils::check_err(
|
||||
out_spatial_len, std::vector<ck::index_t>{36, 36, 36}, "Error: ConvParams 3D."));
|
||||
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>{1, 1, 1};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(out_spatial_len,
|
||||
std::vector<ck::index_t>{71, 71, 71},
|
||||
"Error: ConvParams 3D stride {1, 1, 1}."));
|
||||
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>{2, 2, 2};
|
||||
conv_params.input_left_pads = std::vector<ck::index_t>{2, 2, 2};
|
||||
conv_params.input_right_pads = std::vector<ck::index_t>{2, 2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{2, 2, 2};
|
||||
conv_params.input_left_pads_ = std::vector<ck::index_t>{2, 2, 2};
|
||||
conv_params.input_right_pads_ = std::vector<ck::index_t>{2, 2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(out_spatial_len,
|
||||
std::vector<ck::index_t>{37, 37, 37},
|
||||
"Error: ConvParams 3D padding left/right {2, 2, 2}."));
|
||||
|
||||
conv_params.conv_filter_dilations = std::vector<ck::index_t>{2, 2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2, 2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(out_spatial_len,
|
||||
std::vector<ck::index_t>{36, 36, 36},
|
||||
"Error: ConvParams 3D dilation {2, 2, 2}."));
|
||||
|
||||
conv_params.conv_filter_strides = std::vector<ck::index_t>{3, 3, 3};
|
||||
conv_params.input_left_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
conv_params.input_right_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
conv_params.conv_filter_dilations = std::vector<ck::index_t>{2, 2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{3, 3, 3};
|
||||
conv_params.input_left_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
conv_params.input_right_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2, 2, 2};
|
||||
out_spatial_len = conv_params.GetOutputSpatialLengths();
|
||||
EXPECT_TRUE(ck::utils::check_err(
|
||||
out_spatial_len,
|
||||
std::vector<ck::index_t>{23, 23, 23},
|
||||
|
||||
@@ -4,4 +4,4 @@ include_directories(BEFORE
|
||||
)
|
||||
|
||||
add_test_executable(test_convnd_bwd_data convnd_bwd_data.cpp)
|
||||
target_link_libraries(test_convnd_bwd_data PRIVATE host_tensor device_convnd_bwd_data_instance conv_fwd_util)
|
||||
target_link_libraries(test_convnd_bwd_data PRIVATE host_tensor device_convnd_bwd_data_instance conv_util)
|
||||
|
||||
@@ -27,20 +27,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NWC,
|
||||
ck::tensor_layout::convolution::KXC,
|
||||
ck::tensor_layout::convolution::NWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<1,
|
||||
ck::half_t,
|
||||
@@ -50,20 +50,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NWC,
|
||||
ck::tensor_layout::convolution::KXC,
|
||||
ck::tensor_layout::convolution::NWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<1,
|
||||
ck::bhalf_t,
|
||||
@@ -73,20 +73,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NWC,
|
||||
ck::tensor_layout::convolution::KXC,
|
||||
ck::tensor_layout::convolution::NWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<1,
|
||||
int8_t,
|
||||
@@ -96,20 +96,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NWC,
|
||||
ck::tensor_layout::convolution::KXC,
|
||||
ck::tensor_layout::convolution::NWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
}
|
||||
|
||||
// check 2d
|
||||
@@ -128,20 +128,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<2,
|
||||
ck::half_t,
|
||||
@@ -151,20 +151,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<2,
|
||||
ck::bhalf_t,
|
||||
@@ -174,20 +174,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<2,
|
||||
int8_t,
|
||||
@@ -197,20 +197,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
}
|
||||
|
||||
// check 3d
|
||||
@@ -232,20 +232,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<3,
|
||||
ck::half_t,
|
||||
@@ -255,20 +255,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<3,
|
||||
ck::bhalf_t,
|
||||
@@ -278,20 +278,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<3,
|
||||
int8_t,
|
||||
@@ -301,20 +301,20 @@ int main()
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK>(
|
||||
1, // do_verification,
|
||||
1, // init_method,
|
||||
0, // do_log,
|
||||
1, // nrepeat,
|
||||
param.N,
|
||||
param.K,
|
||||
param.C,
|
||||
param.input_spatial_lengths,
|
||||
param.filter_spatial_lengths,
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides,
|
||||
param.conv_filter_dilations,
|
||||
param.input_left_pads,
|
||||
param.input_right_pads);
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
}
|
||||
|
||||
if(pass)
|
||||
|
||||
@@ -1,13 +1,13 @@
|
||||
add_custom_target(test_convnd_fwd)
|
||||
|
||||
add_gtest_executable(test_conv1d_fwd conv1d_fwd.cpp)
|
||||
target_link_libraries(test_conv1d_fwd PRIVATE host_tensor device_conv1d_fwd_instance conv_fwd_util)
|
||||
target_link_libraries(test_conv1d_fwd PRIVATE host_tensor device_conv1d_fwd_instance conv_util)
|
||||
add_dependencies(test_convnd_fwd test_conv1d_fwd)
|
||||
|
||||
add_gtest_executable(test_conv2d_fwd conv2d_fwd.cpp)
|
||||
target_link_libraries(test_conv2d_fwd PRIVATE host_tensor device_conv2d_fwd_instance conv_fwd_util)
|
||||
target_link_libraries(test_conv2d_fwd PRIVATE host_tensor device_conv2d_fwd_instance conv_util)
|
||||
add_dependencies(test_convnd_fwd test_conv2d_fwd)
|
||||
|
||||
add_gtest_executable(test_conv3d_fwd conv3d_fwd.cpp)
|
||||
target_link_libraries(test_conv3d_fwd PRIVATE host_tensor device_conv3d_fwd_instance conv_fwd_util)
|
||||
target_link_libraries(test_conv3d_fwd PRIVATE host_tensor device_conv3d_fwd_instance conv_util)
|
||||
add_dependencies(test_convnd_fwd test_conv3d_fwd)
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
|
||||
#include "data_type.hpp"
|
||||
#include "element_wise_operation.hpp"
|
||||
#include "conv_fwd_util.hpp"
|
||||
#include "library/include/ck/library/utility/conv_util.hpp"
|
||||
#include "conv_util.hpp"
|
||||
|
||||
namespace {
|
||||
@@ -19,13 +19,13 @@ bool test_conv1d_nwc_instances(const std::vector<test::conv::DeviceConvFwdNoOpPt
|
||||
namespace ctl = ck::tensor_layout::convolution;
|
||||
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.num_dim_spatial = 1;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{71};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{2};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1};
|
||||
params.num_dim_spatial_ = 1;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{71};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{2};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1};
|
||||
|
||||
conv::ConvFwdOpInstance<T, T, T, ctl::NWC, ctl::KCX, ctl::NWK> conv_instance(params);
|
||||
|
||||
@@ -44,16 +44,16 @@ TEST(Conv1DFwdNWC, TestConv1D)
|
||||
namespace ctl = ck::tensor_layout::convolution;
|
||||
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.num_dim_spatial = 1;
|
||||
params.N = 2;
|
||||
params.K = 16;
|
||||
params.C = 4;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{16};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1};
|
||||
params.num_dim_spatial_ = 1;
|
||||
params.N_ = 2;
|
||||
params.K_ = 16;
|
||||
params.C_ = 4;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{16};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1};
|
||||
|
||||
std::vector<test::conv::DeviceConvFwdNoOpPtr> conv_ptrs;
|
||||
test::conv::get_test_convolution_fwd_instance<1>(conv_ptrs);
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
|
||||
#include "data_type.hpp"
|
||||
#include "element_wise_operation.hpp"
|
||||
#include "conv_fwd_util.hpp"
|
||||
#include "ck/library/utility/conv_util.hpp"
|
||||
#include "conv_util.hpp"
|
||||
|
||||
namespace {
|
||||
@@ -18,13 +18,13 @@ bool test_conv2d_nhwc_instances(const std::vector<test::conv::DeviceConvFwdNoOpP
|
||||
using namespace ck::utils;
|
||||
|
||||
conv::ConvParams params;
|
||||
params.num_dim_spatial = 2;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3, 3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{71, 71};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{2, 2};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1, 1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1, 1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1, 1};
|
||||
params.num_dim_spatial_ = 2;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3, 3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{71, 71};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{2, 2};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1, 1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1, 1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1, 1};
|
||||
|
||||
conv::ConvFwdOpInstance<T, T, T> conv_instance(params);
|
||||
|
||||
@@ -42,11 +42,11 @@ TEST(Conv2DFwdNHWC, TestConv2D)
|
||||
using namespace ck::utils;
|
||||
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.N = 2;
|
||||
params.K = 16;
|
||||
params.C = 4;
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{16, 16};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1, 1};
|
||||
params.N_ = 2;
|
||||
params.K_ = 16;
|
||||
params.C_ = 4;
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{16, 16};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1};
|
||||
|
||||
std::vector<test::conv::DeviceConvFwdNoOpPtr> conv_ptrs;
|
||||
test::conv::get_test_convolution_fwd_instance<2>(conv_ptrs);
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
|
||||
#include "data_type.hpp"
|
||||
#include "element_wise_operation.hpp"
|
||||
#include "conv_fwd_util.hpp"
|
||||
#include "library/include/ck/library/utility/conv_util.hpp"
|
||||
#include "conv_util.hpp"
|
||||
|
||||
namespace {
|
||||
@@ -20,14 +20,14 @@ bool test_conv3d_ndhwc_instances(const std::vector<test::conv::DeviceConvFwdNoOp
|
||||
namespace ctl = ck::tensor_layout::convolution;
|
||||
|
||||
conv::ConvParams params;
|
||||
params.N = 64;
|
||||
params.num_dim_spatial = 3;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3, 3, 2};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{32, 32, 2};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{2, 2, 2};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.N_ = 64;
|
||||
params.num_dim_spatial_ = 3;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3, 3, 2};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{32, 32, 2};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{2, 2, 2};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
|
||||
conv::ConvFwdOpInstance<T, T, T, ctl::NDHWC, ctl::KZYXC, ctl::NDHWK> conv_instance(params);
|
||||
|
||||
@@ -46,16 +46,16 @@ TEST(Conv3DFwdNDHWC, TestConv3D)
|
||||
namespace ctl = ck::tensor_layout::convolution;
|
||||
|
||||
conv::ConvParams params;
|
||||
params.num_dim_spatial = 3;
|
||||
params.N = 2;
|
||||
params.K = 16;
|
||||
params.C = 4;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{16, 16, 16};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.num_dim_spatial_ = 3;
|
||||
params.N_ = 2;
|
||||
params.K_ = 16;
|
||||
params.C_ = 4;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{16, 16, 16};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
|
||||
std::vector<test::conv::DeviceConvFwdNoOpPtr> conv_ptrs;
|
||||
test::conv::get_test_convolution_fwd_instance<3>(conv_ptrs);
|
||||
@@ -77,16 +77,16 @@ TEST(Conv3DFwdNDHWC, InputOver2GB)
|
||||
|
||||
// >2GB Input
|
||||
conv::ConvParams params;
|
||||
params.num_dim_spatial = 3;
|
||||
params.N = 2;
|
||||
params.K = 16;
|
||||
params.C = 32;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{32, 1000, 1000};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.num_dim_spatial_ = 3;
|
||||
params.N_ = 2;
|
||||
params.K_ = 16;
|
||||
params.C_ = 32;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{32, 1000, 1000};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
|
||||
std::vector<test::conv::DeviceConvFwdNoOpPtr> conv_ptrs;
|
||||
test::conv::get_test_convolution_fwd_instance<3>(conv_ptrs);
|
||||
@@ -94,16 +94,16 @@ TEST(Conv3DFwdNDHWC, InputOver2GB)
|
||||
auto arg = conv_ptrs.back()->MakeArgumentPointer(nullptr,
|
||||
nullptr,
|
||||
nullptr,
|
||||
params.N,
|
||||
params.K,
|
||||
params.C,
|
||||
params.input_spatial_lengths,
|
||||
params.filter_spatial_lengths,
|
||||
params.N_,
|
||||
params.K_,
|
||||
params.C_,
|
||||
params.input_spatial_lengths_,
|
||||
params.filter_spatial_lengths_,
|
||||
params.GetOutputSpatialLengths(),
|
||||
params.conv_filter_strides,
|
||||
params.conv_filter_dilations,
|
||||
params.input_left_pads,
|
||||
params.input_right_pads,
|
||||
params.conv_filter_strides_,
|
||||
params.conv_filter_dilations_,
|
||||
params.input_left_pads_,
|
||||
params.input_right_pads_,
|
||||
PassThrough{},
|
||||
PassThrough{},
|
||||
PassThrough{});
|
||||
@@ -117,16 +117,16 @@ TEST(Conv3DFwdNDHWC, FiltersOver2GB)
|
||||
|
||||
// >2GB Filters
|
||||
conv::ConvParams params;
|
||||
params.num_dim_spatial = 3;
|
||||
params.N = 2;
|
||||
params.K = 16;
|
||||
params.C = 32;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{4, 1000, 1000};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{16, 16, 16};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.num_dim_spatial_ = 3;
|
||||
params.N_ = 2;
|
||||
params.K_ = 16;
|
||||
params.C_ = 32;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{4, 1000, 1000};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{16, 16, 16};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
|
||||
std::vector<test::conv::DeviceConvFwdNoOpPtr> conv_ptrs;
|
||||
test::conv::get_test_convolution_fwd_instance<3>(conv_ptrs);
|
||||
@@ -134,16 +134,16 @@ TEST(Conv3DFwdNDHWC, FiltersOver2GB)
|
||||
auto arg = conv_ptrs.back()->MakeArgumentPointer(nullptr,
|
||||
nullptr,
|
||||
nullptr,
|
||||
params.N,
|
||||
params.K,
|
||||
params.C,
|
||||
params.input_spatial_lengths,
|
||||
params.filter_spatial_lengths,
|
||||
params.N_,
|
||||
params.K_,
|
||||
params.C_,
|
||||
params.input_spatial_lengths_,
|
||||
params.filter_spatial_lengths_,
|
||||
params.GetOutputSpatialLengths(),
|
||||
params.conv_filter_strides,
|
||||
params.conv_filter_dilations,
|
||||
params.input_left_pads,
|
||||
params.input_right_pads,
|
||||
params.conv_filter_strides_,
|
||||
params.conv_filter_dilations_,
|
||||
params.input_left_pads_,
|
||||
params.input_right_pads_,
|
||||
PassThrough{},
|
||||
PassThrough{},
|
||||
PassThrough{});
|
||||
@@ -157,32 +157,32 @@ TEST(Conv3DFwdNDHWC, OutputOver2GB)
|
||||
|
||||
// >2GB Output
|
||||
conv::ConvParams params;
|
||||
params.num_dim_spatial = 3;
|
||||
params.N = 2;
|
||||
params.K = 16;
|
||||
params.C = 2;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{1000, 1000, 30};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{2, 2, 2};
|
||||
params.input_right_pads = std::vector<ck::index_t>{2, 2, 2};
|
||||
params.num_dim_spatial_ = 3;
|
||||
params.N_ = 2;
|
||||
params.K_ = 16;
|
||||
params.C_ = 2;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{1000, 1000, 30};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{2, 2, 2};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{2, 2, 2};
|
||||
|
||||
std::vector<test::conv::DeviceConvFwdNoOpPtr> conv_ptrs;
|
||||
test::conv::get_test_convolution_fwd_instance<3>(conv_ptrs);
|
||||
auto arg = conv_ptrs.back()->MakeArgumentPointer(nullptr,
|
||||
nullptr,
|
||||
nullptr,
|
||||
params.N,
|
||||
params.K,
|
||||
params.C,
|
||||
params.input_spatial_lengths,
|
||||
params.filter_spatial_lengths,
|
||||
params.N_,
|
||||
params.K_,
|
||||
params.C_,
|
||||
params.input_spatial_lengths_,
|
||||
params.filter_spatial_lengths_,
|
||||
params.GetOutputSpatialLengths(),
|
||||
params.conv_filter_strides,
|
||||
params.conv_filter_dilations,
|
||||
params.input_left_pads,
|
||||
params.input_right_pads,
|
||||
params.conv_filter_strides_,
|
||||
params.conv_filter_dilations_,
|
||||
params.input_left_pads_,
|
||||
params.input_right_pads_,
|
||||
PassThrough{},
|
||||
PassThrough{},
|
||||
PassThrough{});
|
||||
|
||||
@@ -4,7 +4,6 @@
|
||||
#include <tuple>
|
||||
|
||||
#include "config.hpp"
|
||||
#include "conv_fwd_util.hpp"
|
||||
#include "device_convnd_fwd_xdl_nhwc_kyxc_nhwk.hpp"
|
||||
#include "element_wise_operation.hpp"
|
||||
#include "host_tensor.hpp"
|
||||
|
||||
@@ -16,22 +16,22 @@ int main()
|
||||
pass = pass &&
|
||||
ck::profiler::
|
||||
profile_gemm_reduce_impl<ck::half_t, ck::half_t, ck::half_t, float, Row, Row, Row>(
|
||||
true, 1, false, 1, M, N, K, K, N, N);
|
||||
true, 1, false, false, M, N, K, K, N, N);
|
||||
|
||||
pass = pass &&
|
||||
ck::profiler::
|
||||
profile_gemm_reduce_impl<ck::half_t, ck::half_t, ck::half_t, float, Row, Col, Row>(
|
||||
true, 1, false, 1, M, N, K, K, K, N);
|
||||
true, 1, false, false, M, N, K, K, K, N);
|
||||
|
||||
pass = pass &&
|
||||
ck::profiler::
|
||||
profile_gemm_reduce_impl<ck::half_t, ck::half_t, ck::half_t, float, Col, Row, Row>(
|
||||
true, 1, false, 1, M, N, K, M, N, N);
|
||||
true, 1, false, false, M, N, K, M, N, N);
|
||||
|
||||
pass = pass &&
|
||||
ck::profiler::
|
||||
profile_gemm_reduce_impl<ck::half_t, ck::half_t, ck::half_t, float, Col, Col, Row>(
|
||||
true, 1, false, 1, M, N, K, M, K, N);
|
||||
true, 1, false, false, M, N, K, M, K, N);
|
||||
|
||||
if(pass)
|
||||
{
|
||||
|
||||
@@ -187,9 +187,10 @@ int test_gemm(const gemmArgs& args)
|
||||
|
||||
if(gemm_ptr->IsSupportedArgument(argument_ptr.get()))
|
||||
{
|
||||
invoker_ptr->Run(argument_ptr.get(), 0);
|
||||
invoker_ptr->Run(argument_ptr.get());
|
||||
|
||||
c_device_buf.FromDevice(c_m_n_device_result.mData.data());
|
||||
|
||||
if(!check_out(c_m_n_host_result, c_m_n_device_result))
|
||||
{
|
||||
success = false;
|
||||
|
||||
@@ -1,2 +1,2 @@
|
||||
add_gtest_executable(test_reference_conv_fwd reference_conv_fwd.cpp)
|
||||
target_link_libraries(test_reference_conv_fwd PRIVATE host_tensor conv_fwd_util)
|
||||
target_link_libraries(test_reference_conv_fwd PRIVATE host_tensor conv_util)
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
|
||||
#include "check_err.hpp"
|
||||
#include "config.hpp"
|
||||
#include "conv_fwd_util.hpp"
|
||||
#include "conv_util.hpp"
|
||||
#include "element_wise_operation.hpp"
|
||||
#include "fill.hpp"
|
||||
#include "host_tensor.hpp"
|
||||
@@ -34,21 +34,21 @@ run_reference_convolution_forward(const ck::utils::conv::ConvParams& params,
|
||||
const FillInputOp& fill_input_op = FillInputOp{},
|
||||
const FillWeightsOp& fill_weights_op = FillWeightsOp{0.5f})
|
||||
{
|
||||
std::vector<std::size_t> input_dims{static_cast<std::size_t>(params.N),
|
||||
static_cast<std::size_t>(params.C)};
|
||||
std::vector<std::size_t> input_dims{static_cast<std::size_t>(params.N_),
|
||||
static_cast<std::size_t>(params.C_)};
|
||||
input_dims.insert(std::end(input_dims),
|
||||
std::begin(params.input_spatial_lengths),
|
||||
std::end(params.input_spatial_lengths));
|
||||
std::begin(params.input_spatial_lengths_),
|
||||
std::end(params.input_spatial_lengths_));
|
||||
|
||||
std::vector<std::size_t> filter_dims{static_cast<std::size_t>(params.K),
|
||||
static_cast<std::size_t>(params.C)};
|
||||
std::vector<std::size_t> filter_dims{static_cast<std::size_t>(params.K_),
|
||||
static_cast<std::size_t>(params.C_)};
|
||||
filter_dims.insert(std::end(filter_dims),
|
||||
std::begin(params.filter_spatial_lengths),
|
||||
std::end(params.filter_spatial_lengths));
|
||||
std::begin(params.filter_spatial_lengths_),
|
||||
std::end(params.filter_spatial_lengths_));
|
||||
|
||||
const std::vector<ck::index_t>& output_spatial_lengths = params.GetOutputSpatialLengths();
|
||||
std::vector<std::size_t> output_dims{static_cast<std::size_t>(params.N),
|
||||
static_cast<std::size_t>(params.K)};
|
||||
std::vector<std::size_t> output_dims{static_cast<std::size_t>(params.N_),
|
||||
static_cast<std::size_t>(params.K_)};
|
||||
output_dims.insert(std::end(output_dims),
|
||||
std::begin(output_spatial_lengths),
|
||||
std::end(output_spatial_lengths));
|
||||
@@ -74,10 +74,10 @@ run_reference_convolution_forward(const ck::utils::conv::ConvParams& params,
|
||||
auto ref_argument = ref_conv.MakeArgument(input,
|
||||
weights,
|
||||
host_output,
|
||||
params.conv_filter_strides,
|
||||
params.conv_filter_dilations,
|
||||
params.input_left_pads,
|
||||
params.input_right_pads,
|
||||
params.conv_filter_strides_,
|
||||
params.conv_filter_dilations_,
|
||||
params.input_left_pads_,
|
||||
params.input_right_pads_,
|
||||
InElementOp{},
|
||||
WeiElementOp{},
|
||||
OutElementOp{});
|
||||
@@ -91,15 +91,15 @@ run_reference_convolution_forward(const ck::utils::conv::ConvParams& params,
|
||||
TEST(ReferenceConvolutionFWD, Conv2DNHWC)
|
||||
{
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.N = 1;
|
||||
params.K = 1;
|
||||
params.C = 2;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3, 3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{6, 6};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1, 1};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1, 1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{0, 0};
|
||||
params.input_right_pads = std::vector<ck::index_t>{0, 0};
|
||||
params.N_ = 1;
|
||||
params.K_ = 1;
|
||||
params.C_ = 2;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3, 3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{6, 6};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1, 1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{0, 0};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{0, 0};
|
||||
|
||||
auto out_tensor = run_reference_convolution_forward<2>(params);
|
||||
std::vector<std::size_t> ref_dims{1, 1, 4, 4};
|
||||
@@ -127,15 +127,15 @@ TEST(ReferenceConvolutionFWD, Conv2DNHWC)
|
||||
TEST(ReferenceConvolutionFWD, Conv2DNHWCStridesDilationsPadding)
|
||||
{
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.N = 1;
|
||||
params.K = 2;
|
||||
params.C = 2;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3, 3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{12, 12};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{2, 2};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{2, 2};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1, 1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1, 1};
|
||||
params.N_ = 1;
|
||||
params.K_ = 2;
|
||||
params.C_ = 2;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3, 3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{12, 12};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{2, 2};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{2, 2};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1, 1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1, 1};
|
||||
|
||||
auto out_tensor = run_reference_convolution_forward<2>(params);
|
||||
std::vector<std::size_t> ref_dims = std::vector<std::size_t>{1, 2, 5, 5};
|
||||
@@ -153,16 +153,16 @@ TEST(ReferenceConvolutionFWD, Conv2DNHWCStridesDilationsPadding)
|
||||
TEST(ReferenceConvolutionFWD, Conv1DNWC)
|
||||
{
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.num_dim_spatial = 1;
|
||||
params.N = 1;
|
||||
params.K = 1;
|
||||
params.C = 2;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{6};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{0};
|
||||
params.input_right_pads = std::vector<ck::index_t>{0};
|
||||
params.num_dim_spatial_ = 1;
|
||||
params.N_ = 1;
|
||||
params.K_ = 1;
|
||||
params.C_ = 2;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{6};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{0};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{0};
|
||||
|
||||
auto out_tensor =
|
||||
run_reference_convolution_forward<1,
|
||||
@@ -182,16 +182,16 @@ TEST(ReferenceConvolutionFWD, Conv1DNWC)
|
||||
TEST(ReferenceConvolutionFWD, Conv1DNWCStridesDilationsPadding)
|
||||
{
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.num_dim_spatial = 1;
|
||||
params.N = 1;
|
||||
params.K = 2;
|
||||
params.C = 2;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{12};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{2};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{2};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1};
|
||||
params.num_dim_spatial_ = 1;
|
||||
params.N_ = 1;
|
||||
params.K_ = 2;
|
||||
params.C_ = 2;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{12};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{2};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{2};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1};
|
||||
|
||||
auto out_tensor =
|
||||
run_reference_convolution_forward<1,
|
||||
@@ -211,16 +211,16 @@ TEST(ReferenceConvolutionFWD, Conv1DNWCStridesDilationsPadding)
|
||||
TEST(ReferenceConvolutionFWD, Conv1DNWCSameOutputSize)
|
||||
{
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.num_dim_spatial = 1;
|
||||
params.N = 2;
|
||||
params.K = 16;
|
||||
params.C = 4;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{16};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{1};
|
||||
params.input_right_pads = std::vector<ck::index_t>{1};
|
||||
params.num_dim_spatial_ = 1;
|
||||
params.N_ = 2;
|
||||
params.K_ = 16;
|
||||
params.C_ = 4;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{16};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{1};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{1};
|
||||
|
||||
auto out_tensor2 = run_reference_convolution_forward<1,
|
||||
float,
|
||||
@@ -305,16 +305,16 @@ TEST(ReferenceConvolutionFWD, Conv1DNWCSameOutputSize)
|
||||
TEST(ReferenceConvolutionFWD, Conv3DNCDHW)
|
||||
{
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.num_dim_spatial = 3;
|
||||
params.N = 1;
|
||||
params.K = 1;
|
||||
params.C = 2;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{6, 6, 6};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{0, 0, 0};
|
||||
params.input_right_pads = std::vector<ck::index_t>{0, 0, 0};
|
||||
params.num_dim_spatial_ = 3;
|
||||
params.N_ = 1;
|
||||
params.K_ = 1;
|
||||
params.C_ = 2;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{6, 6, 6};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{0, 0, 0};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{0, 0, 0};
|
||||
|
||||
auto out_tensor = run_reference_convolution_forward<3,
|
||||
float,
|
||||
@@ -344,16 +344,16 @@ TEST(ReferenceConvolutionFWD, Conv3DNCDHW)
|
||||
TEST(ReferenceConvolutionFWD, Conv3DNCDHWStridesDilations)
|
||||
{
|
||||
ck::utils::conv::ConvParams params;
|
||||
params.num_dim_spatial = 3;
|
||||
params.N = 1;
|
||||
params.K = 2;
|
||||
params.C = 2;
|
||||
params.filter_spatial_lengths = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.input_spatial_lengths = std::vector<ck::index_t>{12, 12, 12};
|
||||
params.conv_filter_strides = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.conv_filter_dilations = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads = std::vector<ck::index_t>{0, 0, 0};
|
||||
params.input_right_pads = std::vector<ck::index_t>{0, 0, 0};
|
||||
params.num_dim_spatial_ = 3;
|
||||
params.N_ = 1;
|
||||
params.K_ = 2;
|
||||
params.C_ = 2;
|
||||
params.filter_spatial_lengths_ = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.input_spatial_lengths_ = std::vector<ck::index_t>{12, 12, 12};
|
||||
params.conv_filter_strides_ = std::vector<ck::index_t>{3, 3, 3};
|
||||
params.conv_filter_dilations_ = std::vector<ck::index_t>{1, 1, 1};
|
||||
params.input_left_pads_ = std::vector<ck::index_t>{0, 0, 0};
|
||||
params.input_right_pads_ = std::vector<ck::index_t>{0, 0, 0};
|
||||
|
||||
auto out_tensor = run_reference_convolution_forward<3,
|
||||
float,
|
||||
|
||||
Reference in New Issue
Block a user