/* ****************************************************************************** * * * 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. * * See the NOTICE file distributed with this work for additional * information regarding copyright ownership. * 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 SD_CUDA #include #include #include #include #include "config.h" #endif // used for MKLDNN etc #if !defined(__STANDALONE_BUILD__) #include "config.h" #endif #include #include #include #include #include #include #include #include namespace sd { class SD_LIB_EXPORT LaunchContext { private: // Previous implementation used heap-allocated pointer which caused crashes during JVM shutdown: // - The vector* was allocated with new and "intentionally leaked" // - But C++ static destruction still tried to destruct it, causing SIGSEGV // - This SIGSEGV triggered signal handler which called abort(), resulting in SIGABRT // Function-local static has well-defined destruction order and avoids this crash static std::vector& contexts(); static std::mutex _mutex; static SD_MAP_IMPL _deviceMutexes; // used for MKLDNN void* _engine = nullptr; #ifdef SD_CUDA #ifndef __JAVACPP_HACK__ void* _cublasHandle = nullptr; void* _cusolverHandle = nullptr; #endif // JCPP bool _isAllocated = false; #endif // CUDA memory::Workspace* _workspace = nullptr; int _deviceID = 0; public: #ifdef SD_CUDA #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; LongType* getAllocationPointer() const; void* getCublasHandle() const; void* getCusolverHandle() const; void* getCuDnnHandle() 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(Pointer cudaStream, Pointer reductionPointer = nullptr, Pointer scalarPointer = nullptr, Pointer allocationPointer = nullptr); LaunchContext(); ~LaunchContext(); memory::Workspace* getWorkspace() const { return _workspace; } void setWorkspace(memory::Workspace* theWorkspace) { _workspace = theWorkspace; } void* engine(); int getDeviceID() const { return _deviceID; } void setDeviceID(int deviceID) { _deviceID = deviceID; } ErrorReference* errorReference(); #ifndef __JAVACPP_HACK__ // this method returns mutex shared between all threads that use the same device static std::mutex* deviceMutex(); #endif static bool isInitialized(); static void releaseBuffers(); static LaunchContext* defaultContext(); static void swapContextBuffers(ContextBuffers& buffers); }; } // namespace sd #endif // LIBND4J_CUDACONTEXT_H