fix mkldnn lib bug, and mkldnnbase

revert-3824-remove_grad_op_type
tensor-tang 8 years ago
parent 3c3a11a0dc
commit 94b172a7e8

@ -144,7 +144,7 @@ if(WITH_GPU)
endif(WITH_GPU)
if(WITH_MKLDNN)
list(APPEND EXTERNAL_LIBS ${MKLDNN_LIBRARY} ${MKLDNN_IOMP_LIB})
list(APPEND EXTERNAL_LIBS ${MKLDNN_LIB} ${MKLDNN_IOMP_LIB})
endif()
if(USE_NNPACK)

@ -0,0 +1,99 @@
/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserve.
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 "mkldnn.hpp"
namespace paddle {
typedef enum {
DNN_BASE = 1,
DNN_TESTS = 1,
DNN_SIZES,
DNN_FMTS,
DNN_TESTS_DETAILS,
DNN_TESTS_MORE,
DNN_ALL,
} DNN_LOG_LEVEL;
/**
* @brief MKLDNN CPU engine.
*
*/
class CpuEngine {
public:
static CpuEngine& Instance() {
// Thread-safe in C++11.
static CpuEngine myInstance;
return myInstance;
}
// Disallow copy or move
CpuEngine(const CpuEngine&) = delete; // Copy constructor
CpuEngine(CpuEngine&&) = delete; // Move constructor
CpuEngine& operator=(const CpuEngine&) = delete; // Copy assignment
CpuEngine& operator=(CpuEngine&&) = delete; // Move assignment
mkldnn::engine& getEngine() { return cpuEngine_; }
protected:
CpuEngine() : cpuEngine_(mkldnn::engine::cpu, 0) {}
// CpuEngine() : cpuEngine_(mkldnn::engine::cpu_lazy, 0) {}
~CpuEngine() {}
private:
mkldnn::engine cpuEngine_;
};
/**
* @brief MKLDNN Stream.
*
*/
class MkldnnStream {
public:
MkldnnStream() : ready_(false) { resetState(); }
virtual ~MkldnnStream() {}
/**
* @brief Submit stream
* @param prims The primitives vector
* block Waiting for the stream to complete
*/
void submit(std::vector<mkldnn::primitive>& prims, bool block = true) {
resetState();
stream_->submit(prims).wait(block);
ready_ = false;
}
/**
* @brief Reset the mkldnn stream
*/
void resetState() {
if (ready_) {
return;
}
// TODO(TJ): change me when mkldnn have method to reset this state
stream_.reset(new mkldnn::stream(mkldnn::stream::kind::eager));
// stream_.reset(new mkldnn::stream(mkldnn::stream::kind::lazy));
ready_ = true;
}
private:
bool ready_;
std::shared_ptr<mkldnn::stream> stream_;
};
} // namespace paddle

@ -16,6 +16,7 @@ limitations under the License. */
#include <vector>
#include "Layer.h"
#include "MkldnnBase.h"
#include "mkldnn.hpp"
namespace paddle {

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