98 lines
3.6 KiB
C++
98 lines
3.6 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2019 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://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, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// Created by saudet on 8/30/2018.
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//
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#ifndef LIBND4J_MKLDNNSTREAM_H
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#define LIBND4J_MKLDNNSTREAM_H
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#ifndef __STANDALONE_BUILD__
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#include "config.h"
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#endif
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#ifdef HAVE_MKLDNN
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#include <mkldnn.hpp>
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namespace nd4j {
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class MKLDNNStream {
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protected:
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std::string _opName;
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std::vector<const NDArray*> _inputs;
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std::vector<const NDArray*> _outputs;
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std::vector<float> _floatArguments;
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std::vector<int> _intArguments;
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mkldnn::engine _engine = mkldnn::engine(mkldnn::engine::cpu, 0);
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std::vector<mkldnn::memory> _memory;
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std::vector<mkldnn::primitive> _operations;
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public:
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template <typename X, typename Y>
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static bool isSupported() {
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return typeid(X) == typeid(float) && typeid(Y) == typeid(float);
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}
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static bool isSupported(const std::vector<const NDArray*> &arrays) {
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for (auto i = arrays.begin(); i != arrays.end(); i++) {
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if (*i != nullptr && (*i)->dataType() != nd4j::DataType::FLOAT32) {
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return false;
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}
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}
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return true;
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}
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MKLDNNStream(const std::string &opName) : _opName(opName) { }
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bool checkAndReset(const std::vector<const NDArray*> &inputs, const std::vector<const NDArray*> &outputs,
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const std::vector<float> &floatArguments, const std::vector<int> &intArguments) {
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if (inputs != _inputs || outputs != _outputs || floatArguments != _floatArguments || intArguments != _intArguments) {
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_inputs = inputs;
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_outputs = outputs;
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_floatArguments = floatArguments;
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_intArguments = intArguments;
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_operations.clear();
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_memory.clear();
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return true;
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}
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return false;
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}
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const mkldnn::engine &getEngine() { return _engine; }
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void setEngine(const mkldnn::engine &engine) { _engine = engine; }
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const std::vector<mkldnn::memory> &getMemory() { return _memory; }
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void setMemory(const std::vector<mkldnn::memory> &memory) { _memory = memory; }
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void addMemory(const mkldnn::memory &memory) { _memory.push_back(memory); }
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const std::vector<mkldnn::primitive> &getOperations() { return _operations; }
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void setOperations(const std::vector<mkldnn::primitive> &operations) { _operations = operations; }
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void addOperation(const mkldnn::primitive &operation) { _operations.push_back(operation); }
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bool submitAndWait(mkldnn::stream::kind kind = mkldnn::stream::kind::eager) {
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nd4j_debug("Executing %s with MKL-DNN\n", _opName.c_str());
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// need to create a new one because already executed streams become unusable
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mkldnn::stream stream(kind);
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return stream.submit(_operations).wait();
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}
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};
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}
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#endif
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#endif //LIBND4J_MKLDNNSTREAM_H
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