61 lines
2.0 KiB
C++
61 lines
2.0 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <memory>
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#include "dnnl.hpp" // NOLINT
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namespace phi {
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namespace funcs {
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///
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/// @brief Helper class for AXPY execution using oneDNN library.
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///
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/// @tparam T Data type.
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///
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template <typename T>
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class OneDNNAXPYHandler {
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public:
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OneDNNAXPYHandler(OneDNNAXPYHandler&) = delete;
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OneDNNAXPYHandler(OneDNNAXPYHandler&&) = delete;
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OneDNNAXPYHandler& operator=(OneDNNAXPYHandler&) = delete;
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OneDNNAXPYHandler& operator=(OneDNNAXPYHandler&&) = delete;
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///
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/// @brief Constructor.
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///
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/// @param[in] n The number of elements in tensor (assumed 1D
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/// tensor)
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/// @param[in] alpha The alpha coefficient.
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/// @param[in] onednn_engine The oneDNN engine.
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///
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OneDNNAXPYHandler(int64_t n, T alpha, dnnl::engine onednn_engine);
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///
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/// @brief Executes AXPY.
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///
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/// @param[in] x The pointer to input X tensor data.
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/// @param[out] y The pointer to output Y tensor data.
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///
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void operator()(const T* x, T* y);
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private:
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OneDNNAXPYHandler() = delete;
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// Private implementation idiom to hide dependency on oneDNN headers.
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class Impl;
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// We need custom deleter, since the compiler is unable to parameterize
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// an allocator's default deleter due to incomplete type.
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std::unique_ptr<Impl, void (*)(Impl*)> pimpl_;
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};
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} // namespace funcs
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} // namespace phi
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