60 lines
2.0 KiB
C++
60 lines
2.0 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 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 raver119 on 30.11.17.
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//
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#include <execution/LaunchContext.h>
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#include <logger.h>
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#include <exceptions/cuda_exception.h>
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#include <thread>
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nd4j::ContextBuffers contextBuffers = nd4j::ContextBuffers();
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namespace nd4j {
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LaunchContext::~LaunchContext() {
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}
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std::vector<std::shared_ptr<LaunchContext>> LaunchContext::_contexts = std::vector<std::shared_ptr<LaunchContext>>();
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////////////////////////////////////////////////////////////////////////
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LaunchContext::LaunchContext() {
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// default constructor, just to make clang/ranlib happy
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_workspace = nullptr;
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_deviceID = 0;
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}
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LaunchContext::LaunchContext(Nd4jPointer cudaStream, Nd4jPointer reductionPointer, Nd4jPointer scalarPointer, Nd4jPointer allocationPointer) {
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}
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LaunchContext* LaunchContext::defaultContext() {
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// TODO: we need it to be device-aware, but only once we add NUMA support for cpu
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if (LaunchContext::_contexts.empty()) {
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LaunchContext::_contexts.emplace_back(std::make_shared<LaunchContext>());
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}
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// return context for current device
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return LaunchContext::_contexts[0].get();
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}
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void LaunchContext::swapContextBuffers(ContextBuffers &buffers) {
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//
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}
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} |