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/* ******************************************************************************
*
*
* 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
******************************************************************************/
//
// @author raver119@gmail.com
//
#include <exceptions/cuda_exception.h>
#include <execution/AffinityManager.h>
#include <execution/LaunchContext.h>
#include <helpers/cublasHelper.h>
#include <helpers/logger.h>
#include <thread>
thread_local sd::ContextBuffers contextBuffers = sd::ContextBuffers();
namespace sd {
// This avoids static destruction order crashes during JVM shutdown
std::vector<LaunchContext*>& LaunchContext::contexts() {
static std::vector<LaunchContext*>* _contexts = new std::vector<LaunchContext*>();
return *_contexts;
}
std::mutex LaunchContext::_mutex;
SD_MAP_IMPL<int, std::mutex*> LaunchContext::_deviceMutexes;
////////////////////////////////////////////////////////////////////////
LaunchContext::LaunchContext(cudaStream_t* cudaStream, cudaStream_t& specialCudaStream, void* reductionPointer,
void* scalarPointer, int* allocationPointer) {
_workspace = nullptr;
_isAllocated = false;
}
std::mutex* LaunchContext::deviceMutex() {
auto deviceId = AffinityManager::currentDeviceId();
return _deviceMutexes[deviceId];
}
LaunchContext::~LaunchContext() {
if (_isAllocated) {
}
}
////////////////////////////////////////////////////////////////////////
LaunchContext::LaunchContext() {
// default constructor, just to make clang/ranlib happy
_workspace = nullptr;
_deviceID = 0;
_isAllocated = true;
}
LaunchContext::LaunchContext(Pointer cudaStream, Pointer reductionPointer, Pointer scalarPointer,
Pointer allocationPointer) {
_isAllocated = false;
}
LaunchContext* LaunchContext::defaultContext() {
/**
* This method returns LaunchContext, that has multiple entities within:
* 1) temporary buffers. they must be per-thread
* 2) CUDA stream. it must be either per-thread or per-device
* 3) cuBLAS handle. it must be per-device
*/
auto deviceId = AffinityManager::currentDeviceId();
{
// we need this block synchronous, to avoid double initialization etc
std::lock_guard<std::mutex> lock(_mutex);
if (contexts().empty()) {
// create one context per device
auto numDevices = AffinityManager::numberOfDevices();
contexts().resize(numDevices);
for (int e = 0; e < numDevices; e++) {
_deviceMutexes[e] = new std::mutex();
AffinityManager::setCurrentNativeDevice(e);
contexts().at(e) = new LaunchContext();
}
// don't forget to restore device back again
AffinityManager::setCurrentNativeDevice(deviceId);
}
}
// return context for current device
return contexts().at(deviceId);
}
void* LaunchContext::getReductionPointer() const { return contextBuffers.reductionBuffer(); };
void* LaunchContext::getScalarPointer() const { return contextBuffers.scalarBuffer(); };
LongType* LaunchContext::getAllocationPointer() const { return reinterpret_cast<LongType*>(contextBuffers.allocationBuffer()); };
void* LaunchContext::getCublasHandle() const { return CublasHelper::getInstance().handle(); };
void* LaunchContext::getCusolverHandle() const { return CublasHelper::getInstance().solver(); };
cudaStream_t* LaunchContext::getCudaStream() const {
return reinterpret_cast<cudaStream_t*>(contextBuffers.execStream());
};
cudaStream_t* LaunchContext::getCudaSpecialStream() const {
return reinterpret_cast<cudaStream_t*>(contextBuffers.specialStream());
;
};
void LaunchContext::setReductionPointer(void* reductionPointer) {
contextBuffers.setReductionBuffer(reductionPointer);
};
void LaunchContext::setScalarPointer(void* scalarPointer) { contextBuffers.setScalarBuffer(scalarPointer); };
void LaunchContext::setAllocationPointer(int* allocationPointer) {
contextBuffers.setAllocationBuffer(allocationPointer);
};
void LaunchContext::setCudaStream(cudaStream_t* cudaStream){
};
void LaunchContext::setCudaSpecialStream(cudaStream_t* cudaStream){
};
void LaunchContext::setCublasHandle(void* handle) { _cublasHandle = handle; };
void LaunchContext::swapContextBuffers(ContextBuffers& buffers) { contextBuffers = buffers; };
void LaunchContext::releaseBuffers() {
contextBuffers.release();
}
bool LaunchContext::isInitialized() { return contextBuffers.isInitialized(); }
void* LaunchContext::getCuDnnHandle() const { return CublasHelper::getInstance().cudnn(); }
ErrorReference* LaunchContext::errorReference() { return contextBuffers.errorReference(); }
void* LaunchContext::engine() { return _engine; }
} // namespace sd