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https://github.com/ROCm/composable_kernel.git
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866377de18
* Add maxpool instances * Rename index pool to max pool. * Add maxpool bwd bf16 instances * Add avg pool bwd instances * Rename avgpool and maxpool to avg_pool3d and max_pool * Add bf16 pool fwd instances * Add max pool bwd to ckProfiler * Add avg pool3d bwd to ckProfiler * Add avg pool bwd test * Fix bug of reference pool fwd (dilation) * Fix bug of max pool bwd (dilation and initZero) * Support bf16 compute data type * Force compute type be f32. Because atomicAdd only support f32 * Add max pool bwd test * Rename folder * Rename pool * Add max pool bwd client example * Add avg pool bwd client example * Add missing workspace * clang format * Rename macro * remove useless header * remove useless layout
87 lines
4.4 KiB
C++
87 lines
4.4 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 "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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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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void Run()
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{
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for(auto param : params)
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{
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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>(true,
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2,
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false,
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false,
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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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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>(true,
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2,
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false,
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false,
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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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EXPECT_TRUE(success);
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}
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}
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};
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#ifdef CK_ENABLE_FP16
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using KernelTypes =
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::testing::Types<std::tuple<F16, F16, F32, I32>, std::tuple<F32, F32, F32, I32>>;
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#else
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using KernelTypes = ::testing::Types<std::tuple<F32, F32, F32, I32>>;
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#endif
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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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