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Commit 48fe8532 authored by Jun Liu's avatar Jun Liu
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Merge branch 'amd-develop' into amd-master

parents d88411d1 39002e9e
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test/pool_fwd/test_avg_pool2d_fwd.cpp deleted 100644 → 0
View file @ d88411d1
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#include "gtest/gtest.h"
#include "profiler/profile_pool2d_fwd_impl.hpp"
#include "test_pool_fwd_common.hpp"
template <typename Tuple>
class TestAvgPool2dFwd : 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)
{
bool success =
ck::profiler::profile_pool2d_fwd_impl<InDataType,
OutDataType,
ComputeDataType,
IndexDataType,
ck::ReduceTensorOp::AVG,
false,
false>(true,
2,
false,
false,
param.length_,
param.window_spatial_lengths_,
param.window_strides_,
param.input_left_pads_,
param.input_right_pads_);
EXPECT_TRUE(success);
}
}
};
#ifdef __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(TestAvgPool2dFwd, KernelTypes);
TYPED_TEST(TestAvgPool2dFwd, Test_Pool)
{
// length, window_length, window_stride, left_pad, right_pad
this->params = {{{1, 1, 1, 1}, {1, 1}, {1, 1}, {0, 0}, {0, 0}},
{{2, 16, 64, 64}, {64, 64}, {1, 1}, {0, 0}, {0, 0}},
{{2, 32, 30, 30}, {2, 2}, {2, 2}, {1, 1}, {1, 1}}};
this->Run();
}
test/pool_fwd/test_avg_pool3d_fwd.cpp
View file @ 48fe8532
...@@ -25,6 +25,8 @@ class TestAvgPool3dFwd : public ::testing::Test ...@@ -25,6 +25,8 @@ class TestAvgPool3dFwd : public ::testing::Test
OutDataType, OutDataType,
ComputeDataType, ComputeDataType,
IndexDataType, IndexDataType,
ck::tensor_layout::convolution::NDHWC,
ck::tensor_layout::convolution::NDHWC,
ck::ReduceTensorOp::AVG, ck::ReduceTensorOp::AVG,
false, false,
false>(true, false>(true,
...@@ -34,6 +36,7 @@ class TestAvgPool3dFwd : public ::testing::Test ...@@ -34,6 +36,7 @@ class TestAvgPool3dFwd : public ::testing::Test
param.length_, param.length_,
param.window_spatial_lengths_, param.window_spatial_lengths_,
param.window_strides_, param.window_strides_,
param.window_dilations_,
param.input_left_pads_, param.input_left_pads_,
param.input_right_pads_); param.input_right_pads_);
EXPECT_TRUE(success); EXPECT_TRUE(success);
...@@ -49,10 +52,11 @@ using KernelTypes = ::testing::Types<std::tuple<F32, F32, F32, I32>>; ...@@ -49,10 +52,11 @@ using KernelTypes = ::testing::Types<std::tuple<F32, F32, F32, I32>>;
TYPED_TEST_SUITE(TestAvgPool3dFwd, KernelTypes); TYPED_TEST_SUITE(TestAvgPool3dFwd, KernelTypes);
TYPED_TEST(TestAvgPool3dFwd, Test_Pool) TYPED_TEST(TestAvgPool3dFwd, Test_Pool)
{ {
// length, window_length, window_stride, left_pad, right_pad // length, window_length, window_stride, window_dilation, left_pad, right_pad
this->params = {{{1, 1, 1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}}, 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}, {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, 32, 30, 30, 30}, {2, 2, 2}, {2, 2, 2}, {1, 1, 1}, {1, 1, 1}}}; {{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(); this->Run();
} }
test/pool_fwd/test_max_pool2d_fwd.cpp deleted 100644 → 0
View file @ d88411d1
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#include "gtest/gtest.h"
#include "profiler/profile_pool2d_fwd_impl.hpp"
#include "test_pool_fwd_common.hpp"
template <typename Tuple>
class TestMaxPool2dFwd : 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_pool2d_fwd_impl<InDataType,
OutDataType,
ComputeDataType,
IndexDataType,
ck::ReduceTensorOp::MAX,
false,
false>(true,
2,
false,
false,
param.length_,
param.window_spatial_lengths_,
param.window_strides_,
param.input_left_pads_,
param.input_right_pads_);
EXPECT_TRUE(success);
// max pool + index
success = ck::profiler::profile_pool2d_fwd_impl<InDataType,
OutDataType,
ComputeDataType,
IndexDataType,
ck::ReduceTensorOp::MAX,
false,
true>(true,
2,
false,
false,
param.length_,
param.window_spatial_lengths_,
param.window_strides_,
param.input_left_pads_,
param.input_right_pads_);
EXPECT_TRUE(success);
}
}
};
#ifdef __fp16__
using KernelTypes =
::testing::Types<std::tuple<F16, F16, F16, I32>, std::tuple<F32, F32, F32, I32>>;
#else
using KernelTypes = ::testing::Types<std::tuple<F32, F32, F32, I32>>;
#endif
TYPED_TEST_SUITE(TestMaxPool2dFwd, KernelTypes);
TYPED_TEST(TestMaxPool2dFwd, Test_Pool)
{
// length, window_length, window_stride, left_pad, right_pad
this->params = {{{1, 1, 1, 1}, {1, 1}, {1, 1}, {0, 0}, {0, 0}},
{{2, 16, 64, 64}, {64, 64}, {1, 1}, {0, 0}, {0, 0}},
{{2, 32, 30, 30}, {2, 2}, {2, 2}, {1, 1}, {1, 1}}};
this->Run();
}
test/pool_fwd/test_max_pool3d_fwd.cpp
View file @ 48fe8532
...@@ -26,6 +26,8 @@ class TestMaxPool3dFwd : public ::testing::Test ...@@ -26,6 +26,8 @@ class TestMaxPool3dFwd : public ::testing::Test
OutDataType, OutDataType,
ComputeDataType, ComputeDataType,
IndexDataType, IndexDataType,
ck::tensor_layout::convolution::NDHWC,
ck::tensor_layout::convolution::NDHWC,
ck::ReduceTensorOp::MAX, ck::ReduceTensorOp::MAX,
false, false,
false>(true, false>(true,
...@@ -35,6 +37,7 @@ class TestMaxPool3dFwd : public ::testing::Test ...@@ -35,6 +37,7 @@ class TestMaxPool3dFwd : public ::testing::Test
param.length_, param.length_,
param.window_spatial_lengths_, param.window_spatial_lengths_,
param.window_strides_, param.window_strides_,
param.window_dilations_,
param.input_left_pads_, param.input_left_pads_,
param.input_right_pads_); param.input_right_pads_);
EXPECT_TRUE(success); EXPECT_TRUE(success);
...@@ -44,6 +47,8 @@ class TestMaxPool3dFwd : public ::testing::Test ...@@ -44,6 +47,8 @@ class TestMaxPool3dFwd : public ::testing::Test
OutDataType, OutDataType,
ComputeDataType, ComputeDataType,
IndexDataType, IndexDataType,
ck::tensor_layout::convolution::NDHWC,
ck::tensor_layout::convolution::NDHWC,
ck::ReduceTensorOp::MAX, ck::ReduceTensorOp::MAX,
false, false,
true>(true, true>(true,
...@@ -53,6 +58,7 @@ class TestMaxPool3dFwd : public ::testing::Test ...@@ -53,6 +58,7 @@ class TestMaxPool3dFwd : public ::testing::Test
param.length_, param.length_,
param.window_spatial_lengths_, param.window_spatial_lengths_,
param.window_strides_, param.window_strides_,
param.window_dilations_,
param.input_left_pads_, param.input_left_pads_,
param.input_right_pads_); param.input_right_pads_);
EXPECT_TRUE(success); EXPECT_TRUE(success);
...@@ -70,10 +76,11 @@ using KernelTypes = ::testing::Types<std::tuple<F32, F32, F32, I32>>; ...@@ -70,10 +76,11 @@ using KernelTypes = ::testing::Types<std::tuple<F32, F32, F32, I32>>;
TYPED_TEST_SUITE(TestMaxPool3dFwd, KernelTypes); TYPED_TEST_SUITE(TestMaxPool3dFwd, KernelTypes);
TYPED_TEST(TestMaxPool3dFwd, Test_Pool) TYPED_TEST(TestMaxPool3dFwd, Test_Pool)
{ {
// length, window_length, window_stride, left_pad, right_pad // length, window_length, window_stride, window_dilation, left_pad, right_pad
this->params = {{{1, 1, 1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}}, 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}, {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, 32, 30, 30, 30}, {2, 2, 2}, {2, 2, 2}, {1, 1, 1}, {1, 1, 1}}}; {{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(); this->Run();
} }
test/pool_fwd/test_pool_fwd_common.hpp
View file @ 48fe8532
...@@ -14,11 +14,13 @@ struct PoolingParam ...@@ -14,11 +14,13 @@ struct PoolingParam
PoolingParam(const std::vector<index_t>& length, PoolingParam(const std::vector<index_t>& length,
const std::vector<index_t>& window_spatial_lengths, const std::vector<index_t>& window_spatial_lengths,
const std::vector<index_t>& window_strides, const std::vector<index_t>& window_strides,
const std::vector<index_t>& window_dilations,
const std::vector<index_t>& input_left_pads, const std::vector<index_t>& input_left_pads,
const std::vector<index_t>& input_right_pads) const std::vector<index_t>& input_right_pads)
: length_(length), : length_(length),
window_spatial_lengths_(window_spatial_lengths), window_spatial_lengths_(window_spatial_lengths),
window_strides_(window_strides), window_strides_(window_strides),
window_dilations_(window_dilations),
input_left_pads_(input_left_pads), input_left_pads_(input_left_pads),
input_right_pads_(input_right_pads) input_right_pads_(input_right_pads)
{ {
...@@ -26,6 +28,7 @@ struct PoolingParam ...@@ -26,6 +28,7 @@ struct PoolingParam
std::vector<index_t> length_; std::vector<index_t> length_;
std::vector<index_t> window_spatial_lengths_; std::vector<index_t> window_spatial_lengths_;
std::vector<index_t> window_strides_; std::vector<index_t> window_strides_;
std::vector<index_t> window_dilations_;
std::vector<index_t> input_left_pads_; std::vector<index_t> input_left_pads_;
std::vector<index_t> input_right_pads_; std::vector<index_t> input_right_pads_;
}; };
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