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https://github.com/ROCm/composable_kernel.git
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106 lines
4.5 KiB
C++
106 lines
4.5 KiB
C++
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#include "gtest/gtest.h"
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#include "profiler/profile_pool3d_fwd_impl.hpp"
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#include "test_pool_fwd_common.hpp"
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static ck::index_t param_mask = 0xffff;
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static ck::index_t instance_index = -1;
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template <typename Tuple>
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class TestMaxPool3dFwd : 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 ComputeDataType = std::tuple_element_t<2, Tuple>;
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using IndexDataType = std::tuple_element_t<3, Tuple>;
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std::vector<PoolingParam> params;
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ck::profiler::PoolFwdInputParams in_params_max_pool{true, 2, false, false, false, 0};
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ck::profiler::PoolFwdInputParams in_params_max_pool_indexed{true, 2, false, false, true, 0};
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void Run()
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{
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for(size_t i = 0; i < this->params.size(); i++)
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{
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if((param_mask & (1 << i)) == 0)
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{
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continue;
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}
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auto& param = this->params[i];
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ck::profiler::PoolFwdKernelParams kernel_params{param.length_,
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param.window_spatial_lengths_,
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param.window_strides_,
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param.window_dilations_,
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param.input_left_pads_,
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param.input_right_pads_};
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// max pool
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bool success =
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ck::profiler::profile_pool3d_fwd_impl<InDataType,
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OutDataType,
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ComputeDataType,
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IndexDataType,
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ck::tensor_layout::convolution::NDHWC,
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ck::tensor_layout::convolution::NDHWC,
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ck::ReduceTensorOp::MAX,
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false,
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false>(
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in_params_max_pool, kernel_params, instance_index);
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EXPECT_TRUE(success);
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// max pool + index
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success = ck::profiler::profile_pool3d_fwd_impl<InDataType,
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OutDataType,
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ComputeDataType,
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IndexDataType,
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ck::tensor_layout::convolution::NDHWC,
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ck::tensor_layout::convolution::NDHWC,
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ck::ReduceTensorOp::MAX,
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false,
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true>(
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in_params_max_pool_indexed, kernel_params, instance_index);
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EXPECT_TRUE(success);
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}
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}
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};
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using KernelTypes = ::testing::Types<std::tuple<I8, I8, I8, I32>,
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std::tuple<F8, F8, F8, I32>,
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std::tuple<F16, F16, F16, I32>,
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std::tuple<BF16, BF16, BF16, I32>,
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std::tuple<F32, F32, F32, I32>>;
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TYPED_TEST_SUITE(TestMaxPool3dFwd, KernelTypes);
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TYPED_TEST(TestMaxPool3dFwd, Test_Pool)
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{
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// length, window_length, window_stride, window_dilation, left_pad, right_pad
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this->params = {{{1, 1, 1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}},
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{{2, 16, 64, 64, 64}, {64, 64, 64}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}},
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{{2, 16, 64, 64, 64}, {4, 4, 4}, {4, 4, 4}, {2, 2, 2}, {0, 0, 0}, {0, 0, 0}},
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{{2, 32, 30, 30, 30}, {2, 2, 2}, {2, 2, 2}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}}};
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this->Run();
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}
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int main(int argc, char** argv)
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{
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testing::InitGoogleTest(&argc, argv);
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if(argc == 1) {}
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else if(argc == 3)
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{
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param_mask = strtol(argv[1], nullptr, 0);
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instance_index = atoi(argv[2]);
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}
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else
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{
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std::cout << "Usage of " << argv[0] << std::endl;
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std::cout << "Arg1,2: param_mask instance_index(-1 means all)" << std::endl;
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}
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return RUN_ALL_TESTS();
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}
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