Linux(Ubuntu14.04)下安装Anaconda和Spyder

末蓝、 2023-09-24 06:46 51阅读 0赞

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\#\# Refer to http://caffe.berkeleyvision.org/installation.html

\# Contributions simplifying and improving our build system are welcome!

\# cuDNN acceleration switch (uncomment to build with cuDNN).

USE\_CUDNN := 1

\# CPU-only switch (uncomment to build without GPU support).

\# CPU\_ONLY := 1

\# uncomment to disable IO dependencies and corresponding data layers

\# USE\_OPENCV := 0

\# USE\_LEVELDB := 0

\# USE\_LMDB := 0

\# uncomment to allow MDB\_NOLOCK when reading LMDB files (only if necessary)

\# You should not set this flag if you will be reading LMDBs with any

\# possibility of simultaneous read and write

\# ALLOW\_LMDB\_NOLOCK := 1

\# Uncomment if you're using OpenCV 3

\# OPENCV\_VERSION := 3

\# To customize your choice of compiler, uncomment and set the following.

\# N.B. the default for Linux is g++ and the default for OSX is clang++

\# CUSTOM\_CXX := g++

\# CUDA directory contains bin/ and lib/ directories that we need.

CUDA\_DIR := /usr/local/cuda

\# On Ubuntu 14.04, if cuda tools are installed via

\# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:

\# CUDA\_DIR := /usr

\# CUDA architecture setting: going with all of them.

\# For CUDA < 6.0, comment the \*\_50 lines for compatibility.

CUDA\_ARCH := -gencode arch=compute\_20,code=sm\_20 \\

-gencode arch=compute\_20,code=sm\_21 \\

-gencode arch=compute\_30,code=sm\_30 \\

-gencode arch=compute\_35,code=sm\_35 \\

-gencode arch=compute\_50,code=sm\_50 \\

-gencode arch=compute\_50,code=compute\_50

\# BLAS choice:

\# atlas for ATLAS (default)

\# mkl for MKL

\# open for OpenBlas

BLAS := atlas

\# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.

\# Leave commented to accept the defaults for your choice of BLAS

\# (which should work)!

\# BLAS\_INCLUDE := /path/to/your/blas

\# BLAS\_LIB := /path/to/your/blas

\# Homebrew puts openblas in a directory that is not on the standard search path

\# BLAS\_INCLUDE := $(shell brew --prefix openblas)/include

\# BLAS\_LIB := $(shell brew --prefix openblas)/lib

\# This is required only if you will compile the matlab interface.

\# MATLAB directory should contain the mex binary in /bin.

\# MATLAB\_DIR := /usr/local

\# MATLAB\_DIR := /Applications/MATLAB\_R2012b.app

\# NOTE: this is required only if you will compile the python interface.

\# We need to be able to find Python.h and numpy/arrayobject.h.

\# PYTHON\_INCLUDE := /usr/include/python2.7 \\

/usr/lib/python2.7/dist-packages/numpy/core/include

\# Anaconda Python distribution is quite popular. Include path:

\# Verify anaconda location, sometimes it's in root.

ANACONDA\_HOME := $(HOME)/anaconda2

PYTHON\_INCLUDE := $(ANACONDA\_HOME)/include \\

$(ANACONDA\_HOME)/include/python2.7 \\

$(ANACONDA\_HOME)/lib/python2.7/site-packages/numpy/core/include \\

\# We need to be able to find libpythonX.X.so or .dylib.

\# PYTHON\_LIB := /usr/lib

PYTHON\_LIB := $(ANACONDA\_HOME)/lib

\# Homebrew installs numpy in a non standard path (keg only)

\# PYTHON\_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.\_\_file\_\_)'))/include

\# PYTHON\_LIB += $(shell brew --prefix numpy)/lib

\# Uncomment to support layers written in Python (will link against Python libs)

WITH\_PYTHON\_LAYER := 1

\# Whatever else you find you need goes here.

INCLUDE\_DIRS := $(PYTHON\_INCLUDE) /usr/local/include

LIBRARY\_DIRS := $(PYTHON\_LIB) /usr/local/lib /usr/lib

\# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies

\# INCLUDE\_DIRS += $(shell brew --prefix)/include

\# LIBRARY\_DIRS += $(shell brew --prefix)/lib

\# Uncomment to use \`pkg-config\` to specify OpenCV library paths.

\# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY\_DIRS.)

\# USE\_PKG\_CONFIG := 1

BUILD\_DIR := build

DISTRIBUTE\_DIR := distribute

\# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171

\# DEBUG := 1

\# The ID of the GPU that 'make runtest' will use to run unit tests.

TEST\_GPUID := 0

\# enable pretty build (comment to see full commands)

Q ?= @

![鹸崙旗鷹][f5bcc40b7456b8df635c7a43107404de.gif]

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Linux(Ubuntu14.04)下安装Anaconda和Spyder

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