192 lines
5.0 KiB
C++
192 lines
5.0 KiB
C++
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/*******************************************************************************
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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 06.10.2017.
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//
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#include <iostream>
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#include <cstdlib>
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#include <stdexcept>
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#include <string>
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#include "Environment.h"
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#include <helpers/StringUtils.h>
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#ifdef __CUDABLAS__
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#include <cuda.h>
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#include <cuda_runtime.h>
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#endif
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namespace nd4j {
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nd4j::Environment::Environment() {
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_tadThreshold.store(8);
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_elementThreshold.store(1024);
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_verbose.store(false);
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_debug.store(false);
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_profile.store(false);
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_precBoost.store(false);
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_leaks.store(false);
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_dataType.store(nd4j::DataType::FLOAT32);
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#ifndef ANDROID
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const char* omp_threads = std::getenv("OMP_NUM_THREADS");
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if (omp_threads != nullptr) {
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try {
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std::string omp(omp_threads);
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int val = std::stoi(omp);
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_maxThreads.store(val);
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} catch (std::invalid_argument &e) {
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// just do nothing
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} catch (std::out_of_range &e) {
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// still do nothing
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}
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}
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#endif
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#ifdef __CUDABLAS__
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int devCnt = 0;
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cudaGetDeviceCount(&devCnt);
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auto devProperties = new cudaDeviceProp[devCnt];
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for (int i = 0; i < devCnt; i++) {
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cudaSetDevice(i);
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cudaGetDeviceProperties(&devProperties[i], i);
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//cudaDeviceSetLimit(cudaLimitStackSize, 4096);
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Pair p(devProperties[i].major, devProperties[i].minor);
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_capabilities.emplace_back(p);
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printf("CUDA device %i: [%s]; cc: [%i.%i]; Total memory: [%lld];\n", i, devProperties[i].name, devProperties[i].major, devProperties[i].minor, (Nd4jLong) devProperties[i].totalGlobalMem);
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}
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fflush(stdout);
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cudaSetDevice(0);
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delete[] devProperties;
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#endif
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}
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nd4j::Environment::~Environment() {
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//
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}
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Environment *Environment::getInstance() {
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if (_instance == 0)
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_instance = new Environment();
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return _instance;
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}
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bool Environment::isVerbose() {
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return _verbose.load();
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}
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bool Environment::isExperimentalBuild() {
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return _experimental;
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}
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nd4j::DataType Environment::defaultFloatDataType() {
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return _dataType.load();
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}
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std::vector<Pair>& Environment::capabilities() {
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return _capabilities;
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}
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void Environment::setDefaultFloatDataType(nd4j::DataType dtype) {
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if (dtype != nd4j::DataType::FLOAT32 && dtype != nd4j::DataType::DOUBLE && dtype != nd4j::DataType::FLOAT8 && dtype != nd4j::DataType::HALF)
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throw std::runtime_error("Default Float data type must be one of [FLOAT8, FLOAT16, FLOAT32, DOUBLE]");
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_dataType.store(dtype);
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}
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void Environment::setVerbose(bool reallyVerbose) {
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_verbose = reallyVerbose;
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}
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bool Environment::isDebug() {
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return _debug.load();
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}
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bool Environment::isProfiling() {
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return _profile.load();
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}
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bool Environment::isDetectingLeaks() {
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return _leaks.load();
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}
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void Environment::setLeaksDetector(bool reallyDetect) {
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_leaks.store(reallyDetect);
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}
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void Environment::setProfiling(bool reallyProfile) {
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_profile.store(reallyProfile);
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}
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bool Environment::isDebugAndVerbose() {
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return this->isDebug() && this->isVerbose();
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}
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void Environment::setDebug(bool reallyDebug) {
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_debug = reallyDebug;
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}
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int Environment::tadThreshold() {
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return _tadThreshold.load();
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}
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void Environment::setTadThreshold(int threshold) {
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_tadThreshold = threshold;
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}
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int Environment::elementwiseThreshold() {
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return _elementThreshold.load();
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}
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void Environment::setElementwiseThreshold(int threshold) {
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_elementThreshold = threshold;
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}
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int Environment::maxThreads() {
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return _maxThreads.load();
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}
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void Environment::setMaxThreads(int max) {
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_maxThreads.store(max);
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}
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bool Environment::precisionBoostAllowed() {
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return _precBoost.load();
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}
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void Environment::allowPrecisionBoost(bool reallyAllow) {
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_precBoost.store(reallyAllow);
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}
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bool Environment::isCPU() {
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#ifdef __CUDABLAS__
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return false;
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#else
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return true;
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#endif
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}
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nd4j::Environment *nd4j::Environment::_instance = 0;
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}
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