pooling.cpp 2.56 KB
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/*
 * The MIT License (MIT)
 *
 * Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 * THE SOFTWARE.
 */
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#include <migraphx/config.hpp>
#include <migraphx/register_op.hpp>
#include <migraphx/reflect.hpp>
#include <migraphx/par_for.hpp>
#include <migraphx/context.hpp>
#include <migraphx/cpu/context.hpp>
#include <migraphx/cpu/dnnl.hpp>
#include <migraphx/op/pooling.hpp>

namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace cpu {

struct dnnl_pooling : dnnl_extend_op<dnnl_pooling, dnnl::pooling_forward, op::pooling>
{
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    std::vector<int> arg_map(int) const { return {MIGRAPHX_DNNL_PREFIX(ARG_SRC)}; }
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    dnnl::pooling_forward::desc get_desc(const std::unordered_map<int, dnnl::memory::desc>& m) const
    {
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        auto algo = op.mode == op::pooling_mode::max ? dnnl::algorithm::pooling_max
                                                     : dnnl::algorithm::pooling_avg;
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        auto kdims = op.kdims();
        std::vector<size_t> padding_l(op.padding.begin(), op.padding.begin() + kdims);
        std::vector<size_t> padding_r(op.padding.begin() + kdims, op.padding.end());
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        return {dnnl::prop_kind::forward_inference,
                algo,
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                m.at(MIGRAPHX_DNNL_PREFIX(ARG_SRC)),
                m.at(MIGRAPHX_DNNL_PREFIX(ARG_DST)),
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                to_dnnl_dims(op.stride),
                to_dnnl_dims(op.lengths),
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                to_dnnl_dims(padding_l),
                to_dnnl_dims(padding_r)};
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    }
};

} // namespace cpu
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} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx