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* Expand the base class of pool2d, prepare to share base class with pool3d * Add pool3d device op * Add pool3d f16 example * Refactor the base class. implement generic pooling in the future * clang format * get original index in max pooling * Add outputindex to base class * Fix dimension * Add pooling instance * Use indexType instead * Remove useless header * Extract IndexDataType to template * Extract pooling reference code * clang format * clang format * Fix typo * Add tensor stride * Add missing header * Add index stride and output stride * Refine naming * Add type to base class * Rename file * Use proper size * Fix typo * Refine naming * Modify the argument into vector. * Add max pool profiler * Refine naming * Support f32 pool * Fix typo * Add avg pool2d fwd in profiler * clang format * Rename AccDatatype to ComputeDatatype * Fix init * test pool * Extract variable * Add client example * Check the pooling dim * clang format * Connect argv and arg_parser * Add found check * Remove useless header * Refine naming * Adjust the order of device_pool_fwd
32 lines
1020 B
C++
32 lines
1020 B
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
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#include "gtest/gtest.h"
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#include "ck/ck.hpp"
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using F16 = ck::half_t;
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using F32 = float;
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using I32 = int32_t;
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using ck::index_t;
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struct PoolingParam
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{
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PoolingParam(const std::vector<index_t>& length,
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const std::vector<index_t>& window_spatial_lengths,
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const std::vector<index_t>& window_strides,
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const std::vector<index_t>& input_left_pads,
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const std::vector<index_t>& input_right_pads)
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: length_(length),
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window_spatial_lengths_(window_spatial_lengths),
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window_strides_(window_strides),
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input_left_pads_(input_left_pads),
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input_right_pads_(input_right_pads)
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{
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}
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std::vector<index_t> length_;
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std::vector<index_t> window_spatial_lengths_;
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std::vector<index_t> window_strides_;
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std::vector<index_t> input_left_pads_;
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std::vector<index_t> input_right_pads_;
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};
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