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Runtime feature detection (apache#13549)
* Prototype for runtime feature detection * Includes from diamond to quotes * Add CPU feature and BLAS flavour flags * Add BLAS flavour and CPU SSE and AVX flags * MXNET_USE_LAPACK * Fix C++ linting errors * Expose runtime feature detection in the public C API and in the Python API * Refactor Storage -> FeatureSet * Refine documentation * Add failure case * Fix pylint * Address CR comments
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one | ||
* or more contributor license agreements. See the NOTICE file | ||
* distributed with this work for additional information | ||
* regarding copyright ownership. The ASF licenses this file | ||
* to you under the Apache License, Version 2.0 (the | ||
* "License"); you may not use this file except in compliance | ||
* with the License. You may obtain a copy of the License at | ||
* | ||
* http://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. | ||
*/ | ||
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/*! | ||
* Copyright (c) 2018 by Contributors | ||
* \file mxfeatures.h | ||
* \brief check MXNet features including compile time support | ||
*/ | ||
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#pragma once | ||
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#include "dmlc/base.h" | ||
#include "mshadow/base.h" | ||
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/*! | ||
*\brief whether to use opencv support | ||
*/ | ||
#ifndef MXNET_USE_OPENCV | ||
#define MXNET_USE_OPENCV 1 | ||
#endif | ||
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/*! | ||
*\brief whether to use cuda support | ||
*/ | ||
#ifndef MXNET_USE_CUDA | ||
#define MXNET_USE_CUDA MSHADOW_USE_CUDA | ||
#endif | ||
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/*! | ||
*\brief whether to use cudnn library for convolution | ||
*/ | ||
#ifndef MXNET_USE_CUDNN | ||
#define MXNET_USE_CUDNN MSHADOW_USE_CUDNN | ||
#endif | ||
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#ifndef MXNET_USE_NCCL | ||
#define MXNET_USE_NCCL 0 | ||
#endif | ||
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/*! | ||
*\brief whether to use cusolver library | ||
*/ | ||
#ifndef MXNET_USE_CUSOLVER | ||
#define MXNET_USE_CUSOLVER MSHADOW_USE_CUSOLVER | ||
#endif | ||
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#ifndef MXNET_ENABLE_CUDA_RTC | ||
#define MXNET_ENABLE_CUDA_RTC 0 | ||
#endif | ||
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/*! \brief Error message for using gpu when MXNET_USE_CUDA==0 */ | ||
#define MXNET_GPU_NOT_ENABLED_ERROR "GPU is not enabled" | ||
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#ifndef MXNET_USE_TENSORRT | ||
#define MXNET_USE_TENSORRT 0 | ||
#endif | ||
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#ifndef MXNET_USE_BLAS_ATLAS | ||
#define MXNET_USE_BLAS_ATLAS 0 | ||
#endif | ||
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#ifndef MXNET_USE_BLAS_OPEN | ||
#define MXNET_USE_BLAS_OPEN 0 | ||
#endif | ||
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#ifndef MXNET_USE_BLAS_MKL | ||
#define MXNET_USE_BLAS_MKL 0 | ||
#endif | ||
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#ifndef MXNET_USE_BLAS_APPLE | ||
#define MXNET_USE_BLAS_APPLE 0 | ||
#endif | ||
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#ifndef MXNET_USE_LAPACK | ||
#define MXNET_USE_LAPACK 0 | ||
#endif | ||
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#ifndef MXNET_USE_MKLDNN | ||
#define MXNET_USE_MKLDNN 0 | ||
#endif | ||
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#ifndef MXNET_USE_OPENMP | ||
#define MXNET_USE_OPENMP 0 | ||
#endif | ||
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#ifndef MXNET_USE_F16C | ||
#define MXNET_USE_F16C MSHADOW_USE_F16C | ||
#endif | ||
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#ifndef MXNET_USE_CAFFE | ||
#define MXNET_USE_CAFFE 0 | ||
#endif | ||
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#ifndef MXNET_USE_DIST_KVSTORE | ||
#define MXNET_USE_DIST_KVSTORE 0 | ||
#endif | ||
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#ifndef MXNET_USE_SIGNAL_HANDLER | ||
#define MXNET_USE_SIGNAL_HANDLER 0 | ||
#endif | ||
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namespace mxnet { | ||
namespace features { | ||
// Check compile flags such as CMakeLists.txt | ||
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/// Compile time features | ||
enum : uint32_t { | ||
// NVIDIA, CUDA | ||
CUDA = 0, | ||
CUDNN, | ||
NCCL, | ||
CUDA_RTC, | ||
TENSORRT, | ||
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// CPU Features / optimizations | ||
CPU_SSE, | ||
CPU_SSE2, | ||
CPU_SSE3, | ||
CPU_SSE4_1, | ||
CPU_SSE4_2, | ||
CPU_SSE4A, // AMD extensions to SSE4 | ||
CPU_AVX, | ||
CPU_AVX2, | ||
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// Multiprocessing / CPU / System | ||
OPENMP, | ||
SSE, | ||
F16C, | ||
JEMALLOC, | ||
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// Math libraries & BLAS | ||
// Flavour of BLAS | ||
BLAS_OPEN, | ||
BLAS_ATLAS, | ||
// Intel(R) Math Kernel Library | ||
BLAS_MKL, | ||
BLAS_APPLE, | ||
// Other math libraries: | ||
// Linear Algebra PACKage | ||
LAPACK, | ||
// Intel(R) Math Kernel Library for Deep Neural Networks | ||
MKLDNN, | ||
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// Image processing | ||
OPENCV, | ||
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// Misc | ||
CAFFE, | ||
PROFILER, | ||
DIST_KVSTORE, | ||
CXX14, | ||
// Signal handler to print stack traces on exceptions | ||
SIGNAL_HANDLER, | ||
DEBUG, | ||
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// size indicator | ||
MAX_FEATURES | ||
}; | ||
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/*! | ||
* \return true if the given feature is supported | ||
*/ | ||
bool is_enabled(uint32_t feat); | ||
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} // namespace features | ||
} // namespace mxnet |
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