/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #pragma once #include #include #include #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/platform/place.h" namespace paddle { namespace platform { using MKLDNNStream = mkldnn::stream; using MKLDNNEngine = mkldnn::engine; using MKLDNNMemory = mkldnn::memory; using MKLDNNMemoryDescriptor = mkldnn::memory::desc; using MKLDNNPrimitive = mkldnn::primitive; using MKLDNNPrimitiveDesc = mkldnn::handle; typedef std::unique_ptr MKLDNNStreamPtr; typedef std::unique_ptr MKLDNNEnginePtr; typedef std::unique_ptr MKLDNNMemoryPtr; typedef std::unique_ptr MKLDNNPrimitivePtr; typedef std::unique_ptr MKLDNNPrimitiveDescPtr; template void* to_void_cast(const Type* t) { return static_cast(const_cast(t)); } template void* to_void_reinterpret_cast(const Type* t) { return reinterpret_cast(const_cast(t)); } template using tf_desc = typename Type::desc; template using tf_pd = typename Type::primitive_desc; template std::shared_ptr> MKLDNNFwdPrimitiveDesc(const Engine& e, Args&&... args) { auto desc = tf_desc(mkldnn::prop_kind::forward, (args)...); auto pd = new tf_pd(desc, e); return std::shared_ptr>(pd); } template tf_pd MKLDNNBwdPrimitiveDesc(const Engine& e, const Primitive& p, Args&&... args) { auto desc = tf_desc(args...); return tf_pd(desc, e, p); } inline mkldnn::memory::desc MKLDNNMemDesc(const std::vector& dims, mkldnn::memory::data_type data_type, mkldnn::memory::format format) { mkldnn::memory::dims tz = dims; return mkldnn::memory::desc({tz}, data_type, format); } inline bool CanMKLDNNBeUsed(const framework::ExecutionContext& ctx) { bool use_mkldnn = ctx.Attr("use_mkldnn"); return use_mkldnn && platform::is_cpu_place(ctx.GetPlace()); } template mkldnn::memory::data_type MKLDNNGetDataType() { return mkldnn::memory::data_undef; } template <> inline mkldnn::memory::data_type MKLDNNGetDataType() { return mkldnn::memory::f32; } inline void Reorder(const mkldnn::memory& src, const mkldnn::memory& dst) { auto reorder_prim = mkldnn::reorder(src, dst); std::vector pipeline; pipeline.push_back(reorder_prim); mkldnn::stream(mkldnn::stream::kind::eager).submit(pipeline).wait(); } inline mkldnn::memory::format GetMKLDNNFormat(const mkldnn::memory memory) { return static_cast( memory.get_primitive_desc().desc().data.format); } inline mkldnn::memory::format GetMKLDNNFormat( const mkldnn::sum::primitive_desc& memory) { return static_cast( memory.dst_primitive_desc().desc().data.format); } inline mkldnn::memory::format MKLDNNFormatForSize( size_t dims_size, mkldnn::memory::format data_format) { if (dims_size == 1) { return mkldnn::memory::format::x; } else if (dims_size == 2) { return mkldnn::memory::format::nc; } return data_format; } inline mkldnn::memory::format data_format_to_memory_format( const std::string& data_format) { switch (framework::StringToDataLayout(data_format)) { case framework::DataLayout::kNHWC: return mkldnn::memory::format::nhwc; case framework::DataLayout::kNCHW: return mkldnn::memory::format::nchw; default: return mkldnn::memory::format::any; } } } // namespace platform } // namespace paddle