Commit 5a7f7334 authored by Jing Zhang's avatar Jing Zhang
Browse files

merge develop

parents 14822d71 f5ec04f0
add_custom_target(test_pool_fwd)
add_custom_target(test_pool)
add_gtest_executable(test_avg_pool3d_bwd test_avg_pool3d_bwd.cpp)
add_gtest_executable(test_max_pool3d_bwd test_max_pool3d_bwd.cpp)
add_gtest_executable(test_avg_pool3d_fwd test_avg_pool3d_fwd.cpp)
add_gtest_executable(test_max_pool3d_fwd test_max_pool3d_fwd.cpp)
target_link_libraries(test_avg_pool3d_bwd PRIVATE utility device_avg_pool3d_bwd_instance)
target_link_libraries(test_max_pool3d_bwd PRIVATE utility device_max_pool_bwd_instance)
target_link_libraries(test_avg_pool3d_fwd PRIVATE utility device_pool3d_fwd_instance)
target_link_libraries(test_max_pool3d_fwd PRIVATE utility device_pool3d_fwd_instance)
add_dependencies(test_pool_fwd test_avg_pool3d_fwd)
add_dependencies(test_pool_fwd test_max_pool3d_fwd)
add_dependencies(test_pool test_avg_pool3d_bwd)
add_dependencies(test_pool test_max_pool3d_bwd)
add_dependencies(test_pool test_avg_pool3d_fwd)
add_dependencies(test_pool test_max_pool3d_fwd)
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#include "gtest/gtest.h"
#include "profiler/profile_avg_pool3d_bwd_impl.hpp"
#include "test_pool_fwd_common.hpp"
template <typename Tuple>
class TestAvgPool3dBwd : public ::testing::Test
{
protected:
using DOutDataType = std::tuple_element_t<0, Tuple>;
using DInDataType = std::tuple_element_t<1, Tuple>;
using ComputeDataType = std::tuple_element_t<2, Tuple>;
using DOutLayout = std::tuple_element_t<3, Tuple>;
using DInLayout = std::tuple_element_t<4, Tuple>;
std::vector<PoolingParam> params;
void Run()
{
for(auto param : params)
{
bool success =
ck::profiler::profile_avg_pool3d_bwd_impl<DOutDataType,
DInDataType,
ComputeDataType,
DOutLayout,
DInLayout>(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);
}
}
};
#if defined(CK_ENABLE_FP16) && defined(CK_ENABLE_BF16) && defined(CK_ENABLE_FP32)
using KernelTypes = ::testing::Types<std::tuple<F16, F16, F32, NDHWC, NDHWC>,
std::tuple<BF16, BF16, F32, NDHWC, NDHWC>,
std::tuple<F32, F32, F32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_FP16) && defined(CK_ENABLE_FP32)
using KernelTypes = ::testing::Types<std::tuple<F16, F16, F32, NDHWC, NDHWC>,
std::tuple<F32, F32, F32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_BF16) && defined(CK_ENABLE_FP32)
using KernelTypes = ::testing::Types<std::tuple<BF16, BF16, F32, NDHWC, NDHWC>,
std::tuple<F32, F32, F32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_FP16) && defined(CK_ENABLE_BF16)
using KernelTypes = ::testing::Types<std::tuple<F16, F16, F32, NDHWC, NDHWC>,
std::tuple<BF16, BF16, F32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_FP16)
using KernelTypes = ::testing::Types<std::tuple<F16, F16, F32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_BF16)
using KernelTypes = ::testing::Types<std::tuple<BF16, BF16, F32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_FP32)
using KernelTypes = ::testing::Types<std::tuple<F32, F32, F32, NDHWC, NDHWC>>;
#endif
TYPED_TEST_SUITE(TestAvgPool3dBwd, KernelTypes);
TYPED_TEST(TestAvgPool3dBwd, 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}, {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();
}
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#include "gtest/gtest.h"
#include "profiler/profile_max_pool3d_bwd_impl.hpp"
#include "test_pool_fwd_common.hpp"
template <typename Tuple>
class TestMaxPool3dBwd : public ::testing::Test
{
protected:
using DOutDataType = std::tuple_element_t<0, Tuple>;
using DInDataType = std::tuple_element_t<1, Tuple>;
using IndexDataType = std::tuple_element_t<2, Tuple>;
using InDataType = DInDataType;
using OutDataType = DOutDataType;
std::vector<PoolingParam> params;
void Run()
{
for(auto param : params)
{
bool success =
ck::profiler::profile_max_pool3d_bwd_impl<InDataType,
OutDataType,
IndexDataType,
DOutDataType,
DInDataType,
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);
}
}
};
#if defined(CK_ENABLE_FP16) && defined(CK_ENABLE_BF16) && defined(CK_ENABLE_FP32)
using KernelTypes = ::testing::Types<std::tuple<F16, F16, I32, NDHWC, NDHWC>,
std::tuple<BF16, BF16, I32, NDHWC, NDHWC>,
std::tuple<F32, F32, I32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_FP16) && defined(CK_ENABLE_FP32)
using KernelTypes = ::testing::Types<std::tuple<F16, F16, I32, NDHWC, NDHWC>,
std::tuple<F32, F32, I32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_BF16) && defined(CK_ENABLE_FP32)
using KernelTypes = ::testing::Types<std::tuple<BF16, BF16, I32, NDHWC, NDHWC>,
std::tuple<F32, F32, I32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_FP16) && defined(CK_ENABLE_BF16)
using KernelTypes = ::testing::Types<std::tuple<F16, F16, I32, NDHWC, NDHWC>,
std::tuple<BF16, BF16, I32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_FP16)
using KernelTypes = ::testing::Types<std::tuple<F16, F16, I32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_BF16)
using KernelTypes = ::testing::Types<std::tuple<BF16, BF16, I32, NDHWC, NDHWC>>;
#elif defined(CK_ENABLE_FP32)
using KernelTypes = ::testing::Types<std::tuple<F32, F32, I32, NDHWC, NDHWC>>;
#endif
TYPED_TEST_SUITE(TestMaxPool3dBwd, KernelTypes);
TYPED_TEST(TestMaxPool3dBwd, 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}, {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->params = {{{2, 32, 30, 30, 30}, {2, 2, 2}, {2, 2, 2}, {1, 1, 1}, {1, 1, 1}, {1, 1,
// 1}}};
this->Run();
}
......@@ -4,10 +4,12 @@
#include "gtest/gtest.h"
#include "ck/ck.hpp"
using F16 = ck::half_t;
using F32 = float;
using I32 = int32_t;
using F16 = ck::half_t;
using BF16 = ck::bhalf_t;
using F32 = float;
using I32 = int32_t;
using ck::index_t;
using NDHWC = ck::tensor_layout::convolution::NDHWC;
struct PoolingParam
{
......
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