51 lines
1.8 KiB
51 lines
1.8 KiB
/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 <mkldnn.hpp>
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#include "paddle/fluid/framework/operator.h"
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namespace paddle {
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namespace platform {
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using MKLDNNStream = mkldnn::stream;
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using MKLDNNEngine = mkldnn::engine;
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using MKLDNNMemory = mkldnn::memory;
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using MKLDNNMemoryDescriptor = mkldnn::memory::desc;
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using MKLDNNPrimitive = mkldnn::primitive;
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using MKLDNNPrimitiveDesc = mkldnn::handle<mkldnn_primitive_desc_t>;
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typedef std::unique_ptr<MKLDNNStream> MKLDNNStreamPtr;
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typedef std::unique_ptr<MKLDNNEngine> MKLDNNEnginePtr;
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typedef std::unique_ptr<MKLDNNMemory> MKLDNNMemoryPtr;
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typedef std::unique_ptr<MKLDNNPrimitive> MKLDNNPrimitivePtr;
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typedef std::unique_ptr<MKLDNNPrimitiveDesc> MKLDNNPrimitiveDescPtr;
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inline mkldnn::memory::desc MKLDNNMemDesc(const std::vector<int>& dims,
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mkldnn::memory::data_type data_type,
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mkldnn::memory::format format) {
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mkldnn::memory::dims tz = dims;
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return mkldnn::memory::desc({tz}, data_type, format);
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}
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inline bool CanMKLDNNBeUsed(const framework::ExecutionContext& ctx) {
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bool use_mkldnn = ctx.Attr<bool>("use_mkldnn");
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return use_mkldnn && platform::is_cpu_place(ctx.GetPlace());
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}
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} // namespace platform
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} // namespace paddle
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