cavis/libnd4j/include/execution/cpu/LaunchContext.cpp
raver119 98e2814879
Platform helpers (#8216)
* platform helpers draft

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* typo

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* disable platform cmake

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* another draft

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* mkldnn convolution refactored

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* minor tweaks

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* one more safety check

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* prototype works

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* meh

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* force static library mode for mkldnn

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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware

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* bunch of small fixes

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* declare concurrent

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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update

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* - avgpool2d_bp/maxpool2d_bp APIs update

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* - conv2d/batchnorm APIs update

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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update

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* all ops converted to MKLDNN 1.x

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* bunch of tweaks

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* namespace for platform helpers

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* make sure platform helpers aren't opimized out

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* build cpu_features on x86 systems

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* build cpu_features on x86 systems

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* more of cpu_features

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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory

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* F16C definition renamed

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* some mkldnn rearrangements

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* check supported instructions before doing anything

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* typo

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* missied impl

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* BUILD_PIC option

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* conv2d fix

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* avgpool3d fix

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* avgpool3d_bp fix

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* avgpool2d_bp leak fix

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* avgpool3d_bp leak fix

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* maxpool bp leaks fixed

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* printf removed

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* batchnorm fix

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* AVX warning/error polishing

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* Fix

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* More polish

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* Polish

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* remove previous MKL-DNN support layer

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* avx2 tweak

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* allow static for apple

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* exclude mkldnn in one more place

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* exclude mkldnn in one more place

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* restore OPENBLAS_PATH use

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* add runtime check for avx/avx2 support

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* convolution_auto

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* Add logic for helper argument

* minor test fix

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* few tweaks

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* few tweaks

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* skip OpTracker props for non-x86 builds

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* linux arm isn't x86 :)

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* avx-512

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* CUDA presets fix

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* BUILD_PIC

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* prefetchw for avx2

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* BUILD_PIC again

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2019-09-11 21:50:28 +03:00

90 lines
2.7 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.
//
#include <execution/LaunchContext.h>
#include <logger.h>
#include <exceptions/cuda_exception.h>
#include <thread>
#if defined(IOS_BUILD) || defined(APPLE_BUILD) || defined(ANDROID_BUILD)
nd4j::ContextBuffers contextBuffers = nd4j::ContextBuffers();
#else
thread_local nd4j::ContextBuffers contextBuffers = nd4j::ContextBuffers();
#endif
#ifdef HAVE_MKLDNN
#include <mkldnn.hpp>
#endif
namespace nd4j {
LaunchContext::~LaunchContext() {
#ifdef HAVE_MKLDNN
delete reinterpret_cast<mkldnn::engine*>(_engine);
#endif
}
std::vector<std::shared_ptr<LaunchContext>> LaunchContext::_contexts = std::vector<std::shared_ptr<LaunchContext>>();
////////////////////////////////////////////////////////////////////////
LaunchContext::LaunchContext() {
// default constructor, just to make clang/ranlib happy
_workspace = nullptr;
_deviceID = 0;
#ifdef HAVE_MKLDNN
_engine = new mkldnn::engine(mkldnn::engine::kind::cpu, 0);
#endif
}
LaunchContext::LaunchContext(Nd4jPointer cudaStream, Nd4jPointer reductionPointer, Nd4jPointer scalarPointer, Nd4jPointer allocationPointer) {
}
LaunchContext* LaunchContext::defaultContext() {
// TODO: we need it to be device-aware, but only once we add NUMA support for cpu
if (LaunchContext::_contexts.empty()) {
LaunchContext::_contexts.emplace_back(std::make_shared<LaunchContext>());
}
// return context for current device
return LaunchContext::_contexts[0].get();
}
void LaunchContext::swapContextBuffers(ContextBuffers &buffers) {
//
}
bool LaunchContext::isInitialized() {
return true;
}
void LaunchContext::releaseBuffers() {
//
}
sd::ErrorReference* LaunchContext::errorReference() {
return contextBuffers.errorReference();
}
void* LaunchContext::engine() {
return _engine;
}
}