cavis/libnd4j/include/execution/LaunchContext.h

111 lines
3.0 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// Created by raver119 on 30.11.17.
//
#ifndef LIBND4J_CUDACONTEXT_H
#define LIBND4J_CUDACONTEXT_H
#ifdef __CUDABLAS__
#include <cuda.h>
#include <cuda_runtime_api.h>
#include <cuda_runtime.h>
#include <cuda_device_runtime_api.h>
#endif
#include <dll.h>
#include <memory>
#include <op_boilerplate.h>
#include <memory/Workspace.h>
#include <vector>
#include <mutex>
#include <execution/ContextBuffers.h>
namespace nd4j {
class ND4J_EXPORT LaunchContext {
private:
static std::vector<std::shared_ptr<LaunchContext>> _contexts;
static std::mutex _mutex;
#ifdef __CUDABLAS__
#ifndef __JAVACPP_HACK__
cudaStream_t* _cudaStream = nullptr;
cudaStream_t* _cudaSpecialStream = nullptr;
void* _cublasHandle = nullptr;
void* _cusolverHandle = nullptr;
#endif // JCPP
bool _isAllocated = false;
#endif // CUDA
nd4j::memory::Workspace* _workspace = nullptr;
int _deviceID = 0;
public:
#ifdef __CUDABLAS__
#ifndef __JAVACPP_HACK__
LaunchContext(cudaStream_t* cudaStream, cudaStream_t& specialCudaStream, void* reductionPointer = nullptr, void* scalarPointer = nullptr, int* allocationPointer = nullptr);
void* getReductionPointer () const;
void* getScalarPointer() const;
int* getAllocationPointer() const;
void* getCublasHandle() const;
void* getCusolverHandle() const;
cudaStream_t* getCudaStream() const;
cudaStream_t* getCudaSpecialStream() const;
void setReductionPointer (void* reductionPointer);
void setScalarPointer(void* scalarPointer);
void setAllocationPointer(int* allocationPointer);
void setCudaStream(cudaStream_t* cudaStream);
void setCudaSpecialStream(cudaStream_t* cudaStream);
void setCublasHandle(void *handle);
#endif // JCPP
#endif // CUDA
LaunchContext(Nd4jPointer cudaStream, Nd4jPointer reductionPointer = nullptr, Nd4jPointer scalarPointer = nullptr, Nd4jPointer allocationPointer = nullptr);
LaunchContext();
~LaunchContext();
nd4j::memory::Workspace* getWorkspace() const { return _workspace; }
void setWorkspace(nd4j::memory::Workspace* theWorkspace) {
_workspace = theWorkspace;
}
int getDeviceID() const {return _deviceID;}
void setDeviceID(int deviceID) { _deviceID = deviceID; }
static LaunchContext* defaultContext();
};
}
#endif //LIBND4J_CUDACONTEXT_H