mirror of
https://github.com/ROCm/composable_kernel.git
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0077eeb3be
* Add image to column kernel * Add instances, tests, profiler, example * Add client example * Several fixes of image to column * Fix variable name in device_image_to_column_impl * Several fixes of image to column profiler * Fix num_btype calculation * Make new mesaurements for correct bytes calculation
122 lines
4.5 KiB
C++
122 lines
4.5 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
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#include <cstdlib>
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#include <iostream>
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#include <initializer_list>
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#include <tuple>
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#include <vector>
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#include <gtest/gtest.h>
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#include "profiler/profile_image_to_column_impl.hpp"
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template <typename Tuple>
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class TestImageToColumn : public ::testing::Test
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{
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protected:
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using InDataType = std::tuple_element_t<0, Tuple>;
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using OutDataType = std::tuple_element_t<1, Tuple>;
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using InLayout = std::tuple_element_t<2, Tuple>;
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std::vector<ck::utils::conv::ConvParam> conv_params;
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template <ck::index_t NDimSpatial>
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void Run()
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{
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EXPECT_FALSE(conv_params.empty());
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bool pass = true;
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for(auto& param : conv_params)
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{
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pass = pass && ck::profiler::profile_image_to_column_impl<NDimSpatial,
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InLayout,
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InDataType,
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OutDataType>(
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true, // do_verification
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1, // init_method: integer value
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false, // do_log
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false, // time_kernel
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param);
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}
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EXPECT_TRUE(pass);
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}
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};
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using namespace ck::tensor_layout::convolution;
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using KernelTypes1d = ::testing::Types<std::tuple<float, float, GNWC>,
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std::tuple<ck::bhalf_t, ck::bhalf_t, GNWC>,
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std::tuple<ck::half_t, ck::half_t, GNWC>,
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std::tuple<int8_t, int8_t, GNWC>>;
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using KernelTypes2d = ::testing::Types<std::tuple<float, float, GNHWC>,
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std::tuple<ck::bhalf_t, ck::bhalf_t, GNHWC>,
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std::tuple<ck::half_t, ck::half_t, GNHWC>,
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std::tuple<int8_t, int8_t, GNHWC>>;
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using KernelTypes3d = ::testing::Types<std::tuple<float, float, GNDHWC>,
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std::tuple<ck::bhalf_t, ck::bhalf_t, GNDHWC>,
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std::tuple<ck::half_t, ck::half_t, GNDHWC>,
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std::tuple<int8_t, int8_t, GNDHWC>>;
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template <typename Tuple>
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class TestImageToColumn1d : public TestImageToColumn<Tuple>
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{
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};
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template <typename Tuple>
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class TestImageToColumn2d : public TestImageToColumn<Tuple>
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{
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};
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template <typename Tuple>
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class TestImageToColumn3d : public TestImageToColumn<Tuple>
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{
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};
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TYPED_TEST_SUITE(TestImageToColumn1d, KernelTypes1d);
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TYPED_TEST_SUITE(TestImageToColumn2d, KernelTypes2d);
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TYPED_TEST_SUITE(TestImageToColumn3d, KernelTypes3d);
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TYPED_TEST(TestImageToColumn1d, Test1D)
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{
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this->conv_params.clear();
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this->conv_params.push_back({1, 1, 4, 1, 192, {3}, {28}, {1}, {1}, {1}, {1}});
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this->conv_params.push_back({1, 1, 64, 1, 64, {3}, {14}, {1}, {1}, {1}, {1}});
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this->conv_params.push_back({1, 1, 64, 1, 64, {1}, {7}, {2}, {1}, {0}, {0}});
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this->conv_params.push_back({1, 1, 64, 1, 64, {1}, {3}, {1}, {1}, {0}, {0}});
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// ScalarPerVector should be 1
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this->conv_params.push_back({1, 1, 4, 1, 1, {3}, {28}, {1}, {1}, {1}, {1}});
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// stride != 1
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this->conv_params.push_back({1, 1, 1, 1, 4, {3}, {28}, {2}, {1}, {1}, {1}});
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// dilation != 1
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this->conv_params.push_back({1, 1, 1, 1, 4, {3}, {28}, {1}, {2}, {1}, {1}});
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this->template Run<1>();
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}
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TYPED_TEST(TestImageToColumn2d, Test2D)
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{
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this->conv_params.clear();
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this->conv_params.push_back(
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{2, 1, 4, 1, 192, {3, 3}, {28, 28}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
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this->conv_params.push_back(
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{2, 1, 64, 1, 64, {3, 3}, {14, 14}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
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this->conv_params.push_back({2, 1, 64, 1, 64, {1, 1}, {7, 7}, {2, 2}, {1, 1}, {0, 0}, {0, 0}});
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this->conv_params.push_back({2, 1, 64, 1, 64, {1, 1}, {3, 3}, {1, 1}, {1, 1}, {0, 0}, {0, 0}});
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this->template Run<2>();
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}
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TYPED_TEST(TestImageToColumn3d, Test3D)
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{
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this->conv_params.clear();
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this->conv_params.push_back(
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{3, 1, 16, 1, 64, {1, 1, 1}, {7, 7, 7}, {2, 2, 2}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}});
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this->conv_params.push_back(
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{3, 1, 2, 1, 64, {3, 3, 3}, {14, 14, 3}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}});
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this->conv_params.push_back(
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{3, 1, 32, 1, 64, {1, 1, 1}, {3, 3, 3}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}});
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this->template Run<3>();
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}
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