mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-17 19:40:04 +00:00
a2392f1887
* experiment with config file
* experiment with version.h config
* add more info to version.h
* minor updates
* minor updates
* fix case where DTYPE is not used
* large amount of files but minor changes
* remove white space
* minor changes to add more MACROs
* fix cmakedefine01
* fix issue with CK internal conflict
* fix define and define value
* fix clang-format
* fix formatting issue
* experiment with cmake
* clang format v12 to be consistent with miopen
* avoid clang-format for config file
[ROCm/composable_kernel commit: c8a8385fdd]
87 lines
4.4 KiB
C++
87 lines
4.4 KiB
C++
// SPDX-License-Identifier: MIT
|
|
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
|
|
|
|
#include "gtest/gtest.h"
|
|
#include "profiler/profile_pool3d_fwd_impl.hpp"
|
|
#include "test_pool_fwd_common.hpp"
|
|
|
|
template <typename Tuple>
|
|
class TestMaxPool3dFwd : public ::testing::Test
|
|
{
|
|
protected:
|
|
using InDataType = std::tuple_element_t<0, Tuple>;
|
|
using OutDataType = std::tuple_element_t<1, Tuple>;
|
|
using ComputeDataType = std::tuple_element_t<2, Tuple>;
|
|
using IndexDataType = std::tuple_element_t<3, Tuple>;
|
|
|
|
std::vector<PoolingParam> params;
|
|
|
|
void Run()
|
|
{
|
|
for(auto param : params)
|
|
{
|
|
// max pool
|
|
bool success =
|
|
ck::profiler::profile_pool3d_fwd_impl<InDataType,
|
|
OutDataType,
|
|
ComputeDataType,
|
|
IndexDataType,
|
|
ck::tensor_layout::convolution::NDHWC,
|
|
ck::tensor_layout::convolution::NDHWC,
|
|
ck::ReduceTensorOp::MAX,
|
|
false,
|
|
false>(true,
|
|
2,
|
|
false,
|
|
false,
|
|
param.length_,
|
|
param.window_spatial_lengths_,
|
|
param.window_strides_,
|
|
param.window_dilations_,
|
|
param.input_left_pads_,
|
|
param.input_right_pads_);
|
|
EXPECT_TRUE(success);
|
|
|
|
// max pool + index
|
|
success = ck::profiler::profile_pool3d_fwd_impl<InDataType,
|
|
OutDataType,
|
|
ComputeDataType,
|
|
IndexDataType,
|
|
ck::tensor_layout::convolution::NDHWC,
|
|
ck::tensor_layout::convolution::NDHWC,
|
|
ck::ReduceTensorOp::MAX,
|
|
false,
|
|
true>(true,
|
|
2,
|
|
false,
|
|
false,
|
|
param.length_,
|
|
param.window_spatial_lengths_,
|
|
param.window_strides_,
|
|
param.window_dilations_,
|
|
param.input_left_pads_,
|
|
param.input_right_pads_);
|
|
EXPECT_TRUE(success);
|
|
}
|
|
}
|
|
};
|
|
|
|
#ifdef CK_ENABLE_FP16
|
|
using KernelTypes =
|
|
::testing::Types<std::tuple<F16, F16, F32, I32>, std::tuple<F32, F32, F32, I32>>;
|
|
#else
|
|
using KernelTypes = ::testing::Types<std::tuple<F32, F32, F32, I32>>;
|
|
#endif
|
|
|
|
TYPED_TEST_SUITE(TestMaxPool3dFwd, KernelTypes);
|
|
TYPED_TEST(TestMaxPool3dFwd, Test_Pool)
|
|
{
|
|
// length, window_length, window_stride, window_dilation, left_pad, right_pad
|
|
this->params = {{{1, 1, 1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}},
|
|
{{2, 16, 64, 64, 64}, {64, 64, 64}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}},
|
|
{{2, 16, 64, 64, 64}, {4, 4, 4}, {4, 4, 4}, {2, 2, 2}, {0, 0, 0}, {0, 0, 0}},
|
|
{{2, 32, 30, 30, 30}, {2, 2, 2}, {2, 2, 2}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}}};
|
|
|
|
this->Run();
|
|
}
|