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[v1.x] Static build for mxnet-cu110 (#19272)
* static build with cuda 11.0 * add new line at end of files, add set -e * update CD * update LIBCUDA_VERSION * update cudnn version Co-authored-by: Wei Chu <[email protected]>
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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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set(CMAKE_BUILD_TYPE "Distribution" CACHE STRING "Build type") | ||
set(CFLAGS "-mno-avx" CACHE STRING "CFLAGS") | ||
set(CXXFLAGS "-mno-avx" CACHE STRING "CXXFLAGS") | ||
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set(USE_CUDA ON CACHE BOOL "Build with CUDA support") | ||
set(USE_CUDNN ON CACHE BOOL "Build with CUDA support") | ||
set(USE_OPENCV ON CACHE BOOL "Build with OpenCV support") | ||
set(USE_OPENMP ON CACHE BOOL "Build with Openmp support") | ||
set(USE_MKL_IF_AVAILABLE OFF CACHE BOOL "Use Intel MKL if found") | ||
set(USE_MKLDNN ON CACHE BOOL "Build with MKL-DNN support") | ||
set(USE_LAPACK ON CACHE BOOL "Build with lapack support") | ||
set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.") | ||
set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support") | ||
set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support") | ||
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set(CUDACXX "/usr/local/cuda-11.0/bin/nvcc" CACHE STRING "Cuda compiler") | ||
set(MXNET_CUDA_ARCH "5.0;6.0;7.0;8.0" CACHE STRING "Cuda architectures") |
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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. | ||
# | ||
#------------------------------------------------------------------------------- | ||
# Template configuration for compiling mxnet for making python wheel | ||
#------------------------------------------------------------------------------- | ||
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#--------------------- | ||
# choice of compiler | ||
#-------------------- | ||
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export CC = gcc | ||
export CXX = g++ | ||
export NVCC = nvcc | ||
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# whether compile with options for MXNet developer | ||
DEV = 0 | ||
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# whether compile with debug | ||
DEBUG = 0 | ||
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# whether to turn on signal handler (e.g. segfault logger) | ||
USE_SIGNAL_HANDLER = 1 | ||
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# the additional link flags you want to add | ||
ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections | ||
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# the additional compile flags you want to add | ||
ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections | ||
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#--------------------------------------------- | ||
# matrix computation libraries for CPU/GPU | ||
#--------------------------------------------- | ||
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# choose the version of blas you want to use | ||
# can be: mkl, blas, atlas, openblas | ||
# in default use atlas for linux while apple for osx | ||
USE_BLAS=openblas | ||
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# whether use opencv during compilation | ||
# you can disable it, however, you will not able to use | ||
# imbin iterator | ||
USE_OPENCV = 1 | ||
# Add OpenCV include path, in which the directory `opencv2` exists | ||
USE_OPENCV_INC_PATH = NONE | ||
# Add OpenCV shared library path, in which the shared library exists | ||
USE_OPENCV_LIB_PATH = NONE | ||
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# whether use CUDA during compile | ||
USE_CUDA = 1 | ||
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# add the path to CUDA library to link and compile flag | ||
# if you have already add them to environment variable, leave it as NONE | ||
# USE_CUDA_PATH = /usr/local/cuda | ||
USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-11.0 | ||
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# whether to use CuDNN library | ||
USE_CUDNN = 1 | ||
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# whether to use NCCL library | ||
USE_NCCL = 1 | ||
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# CUDA architecture setting: going with all of them. | ||
# For CUDA < 6.0, comment the *_50 lines for compatibility. | ||
# CUDA_ARCH := | ||
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# whether use cuda runtime compiling for writing kernels in native language (i.e. Python) | ||
ENABLE_CUDA_RTC = 1 | ||
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USE_NVTX=1 | ||
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# use openmp for parallelization | ||
USE_OPENMP = 1 | ||
USE_OPERATOR_TUNING = 1 | ||
USE_LIBJPEG_TURBO = 1 | ||
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# whether use MKL-DNN library | ||
USE_MKLDNN = 1 | ||
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# whether use NNPACK library | ||
USE_NNPACK = 0 | ||
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# whether use lapack during compilation | ||
# only effective when compiled with blas versions openblas/apple/atlas/mkl | ||
USE_LAPACK = 1 | ||
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# path to lapack library in case of a non-standard installation | ||
USE_LAPACK_PATH = $(DEPS_PATH)/lib | ||
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# add path to intel library, you may need it for MKL, if you did not add the path | ||
# to environment variable | ||
USE_INTEL_PATH = NONE | ||
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# If use MKL, choose static link automatically to allow python wrapper | ||
ifeq ($(USE_BLAS), mkl) | ||
USE_STATIC_MKL = 1 | ||
else | ||
USE_STATIC_MKL = NONE | ||
endif | ||
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#---------------------------- | ||
# Settings for power and arm arch | ||
#---------------------------- | ||
ARCH := $(shell uname -a) | ||
ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64)) | ||
USE_SSE=0 | ||
else | ||
USE_SSE=1 | ||
endif | ||
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#---------------------------- | ||
# distributed computing | ||
#---------------------------- | ||
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# whether or not to enable multi-machine supporting | ||
USE_DIST_KVSTORE = 1 | ||
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# whether or not allow to read and write HDFS directly. If yes, then hadoop is | ||
# required | ||
USE_HDFS = 0 | ||
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# path to libjvm.so. required if USE_HDFS=1 | ||
LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server | ||
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# whether or not allow to read and write AWS S3 directly. If yes, then | ||
# libcurl4-openssl-dev is required, it can be installed on Ubuntu by | ||
# sudo apt-get install -y libcurl4-openssl-dev | ||
USE_S3 = 1 | ||
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#---------------------------- | ||
# additional operators | ||
#---------------------------- | ||
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# path to folders containing projects specific operators that you don't want to put in src/operators | ||
EXTRA_OPERATORS = | ||
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#---------------------------- | ||
# plugins | ||
#---------------------------- | ||
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# whether to use caffe integration. This requires installing caffe. | ||
# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH | ||
# CAFFE_PATH = $(HOME)/caffe | ||
# MXNET_PLUGINS += plugin/caffe/caffe.mk | ||
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# whether to use torch integration. This requires installing torch. | ||
# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH | ||
# TORCH_PATH = $(HOME)/torch | ||
# MXNET_PLUGINS += plugin/torch/torch.mk | ||
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# WARPCTC_PATH = $(HOME)/warp-ctc | ||
# MXNET_PLUGINS += plugin/warpctc/warpctc.mk | ||
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# whether to use sframe integration. This requires build sframe | ||
# [email protected]:dato-code/SFrame.git | ||
# SFRAME_PATH = $(HOME)/SFrame | ||
# MXNET_PLUGINS += plugin/sframe/plugin.mk | ||
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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 --> | ||
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<!--- http://www.apache.org/licenses/LICENSE-2.0 --> | ||
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<!--- 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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Prerequisites | ||
------------- | ||
This package supports Linux and Windows platforms. You may also want to check: | ||
- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support. | ||
- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support. | ||
- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support. | ||
- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support. | ||
- [mxnet](https://pypi.python.org/pypi/mxnet/). | ||
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To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html). | ||
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To use this package on Linux you need the `libquadmath.so.0` shared library. On | ||
Debian based systems, including Ubuntu, run `sudo apt install libquadmath0` to | ||
install the shared library. On RHEL based systems, including CentOS, run `sudo | ||
yum install libquadmath` to install the shared library. As `libquadmath.so.0` is | ||
a GPL library and MXNet part of the Apache Software Foundation, MXNet must not | ||
redistribute `libquadmath.so.0` as part of the Pypi package and users must | ||
manually install it. | ||
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To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.incubator.apache.org/versions/master/install/index.html) for instructions on building from source. | ||
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Installation | ||
------------ | ||
To install: | ||
```bash | ||
pip install mxnet-cu110 | ||
``` |
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