/******************************************************************************* * 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. // #include #include #include #include namespace nd4j { #ifdef __CUDABLAS__ //////////////////////////////////////////////////////////////////////// LaunchContext::LaunchContext(cudaStream_t *cudaStream, cudaStream_t& specialCudaStream, void* reductionPointer, void* scalarPointer, int* allocationPointer) { _cudaStream = cudaStream; _cudaSpecialStream = &specialCudaStream; // ideal is = new cudaStream_t; *_cudaSpecialStream = specialCudaStream; _reductionPointer = reductionPointer; _scalarPointer = scalarPointer; _allocationPointer = allocationPointer; _workspace = nullptr; _isAllocated = false; } #endif LaunchContext::~LaunchContext() { #ifdef __CUDABLAS__ if (_isAllocated) { cudaStreamSynchronize(*_cudaStream); cudaStreamSynchronize(*_cudaSpecialStream); cudaStreamDestroy(*_cudaStream); cudaStreamDestroy(*_cudaSpecialStream); delete _cudaStream; delete _cudaSpecialStream; cudaFree(_reductionPointer); cudaFree(_allocationPointer); cudaFree(_scalarPointer); cublas::destroyHandle(_cublasHandle); } #endif } std::vector> LaunchContext::_contexts = std::vector>(); //////////////////////////////////////////////////////////////////////// LaunchContext::LaunchContext() { // default constructor, just to make clang/ranlib happy _workspace = nullptr; _deviceID = 0; #ifdef __CUDABLAS__ _isAllocated = true; _cudaStream = new cudaStream_t(); _cudaSpecialStream = new cudaStream_t(); if (nullptr == _cudaStream || nullptr == _cudaSpecialStream) throw std::runtime_error("Failed to allocate memory for new CUDA stream"); cudaError_t err = cudaStreamCreate(_cudaStream); if (err != 0) throw cuda_exception::build("Failed to create default CUDA stream with launch context", err); err = cudaStreamCreate(_cudaSpecialStream); if (err != 0) throw cuda_exception::build("Failed to create special CUDA stream with launch context", err); _cublasHandle = cublas::handle(); auto res = cudaStreamSynchronize(*_cudaStream); if (res != 0) throw cuda_exception::build("Initial sync failed", res); res = cudaMalloc(reinterpret_cast(&_reductionPointer), 1024 * 1024 * 8); if (res != 0) throw std::runtime_error("_reductionPointer allocation failed"); res = cudaMalloc(reinterpret_cast(&_scalarPointer), 8); if (res != 0) throw std::runtime_error("_scalarPointer allocation failed"); res = cudaMalloc(reinterpret_cast(&_allocationPointer), 1024 * 1024 * 8); if (res != 0) throw std::runtime_error("_allocationPointer allocation failed"); #else // #endif } LaunchContext::LaunchContext(Nd4jPointer cudaStream, Nd4jPointer reductionPointer, Nd4jPointer scalarPointer, Nd4jPointer allocationPointer) { #ifdef __CUDABLAS__ _isAllocated = false; _cudaStream = reinterpret_cast(cudaStream); _cudaSpecialStream = reinterpret_cast(cudaStream); _reductionPointer = reductionPointer; _scalarPointer = scalarPointer; _allocationPointer = reinterpret_cast(allocationPointer); #else // no-op #endif } LaunchContext* LaunchContext::defaultContext() { // TODO: we need it to be device-aware if (LaunchContext::_contexts.empty()) { LaunchContext::_contexts.emplace_back(std::make_shared()); } return LaunchContext::_contexts[0].get(); } }