how to change caffe to GPU mode on jetpack4.2

Autonomous Machines Jetson & Embedded Systems Jetson TX2
1

I was install jetpack4.2 on my Nvidia tx2 ,and I find caffe has been installed,but when I run is https://github.com/NVIDIA/DIGITS/blob/master/examples/classification/example.py

def classify_image(image_files, use_gpu=True):
    caffemodel = '../caffe/20151207-223900-80d9_epoch_30.0/snapshot_iter_19140.caffemodel'
    deploy_file = '../caffe/20151207-223900-80d9_epoch_30.0/deploy.prototxt'
    mean_file = '../caffe/20151207-223900-80d9_epoch_30.0/mean.binaryproto'
    labels_file = '../caffe/20151207-223900-80d9_epoch_30.0/labels.txt'

    classify(caffemodel, deploy_file, image_files,
            mean_file=mean_file, labels_file=labels_file, use_gpu=True)

it can run on cpu_mode
it say. Cannot use GPU in CPU-only Caffe: check mode. so has can I chang caffe mode to GPU_mode,how to do it.
Thank you!!

2

Hi,

This indicates that your Caffe doesn’t compile with GPU support.
You will need to re-compile it with GPU enable configure.

diff --git a/Makefile.config.example b/Makefile.config.example
index 24ca6327..46b81f7b 100644
--- a/Makefile.config.example
+++ b/Makefile.config.example
@@ -2,7 +2,7 @@
 # Contributions simplifying and improving our build system are welcome!
 
 # cuDNN acceleration switch (uncomment to build with cuDNN).
-# USE_CUDNN := 1
+USE_CUDNN := 1
 
 # CPU-only switch (uncomment to build without GPU support).
 # CPU_ONLY := 1
@@ -20,7 +20,7 @@
 # ALLOW_LMDB_NOLOCK := 1
 
 # Uncomment if you're using OpenCV 3
-# OPENCV_VERSION := 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++
@@ -36,15 +36,8 @@ CUDA_DIR := /usr/local/cuda
 # For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
 # For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
 # For CUDA >= 9.0, comment the *_20 and *_21 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_52,code=sm_52 \
-               -gencode arch=compute_60,code=sm_60 \
-               -gencode arch=compute_61,code=sm_61 \
-               -gencode arch=compute_61,code=compute_61
+CUDA_ARCH := -gencode arch=compute_62,code=sm_62 \
+               -gencode arch=compute_62,code=compute_62
 
 # BLAS choice:
 # atlas for ATLAS (default)

Thanks.

3

Hello AastaLLL
Thank you for your reply.
I was re re-compile caffe ,this is my Makefile.config

4

Hello AastaLLL
Thank you for your reply.
I was re re-compile caffe ,this is my Makefile.config

## 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).
# cuDNN version 6 or higher is required.
USE_CUDNN := 1
# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# NCCL acceleration switch (uncomment to build with NCCL)
# See https://github.com/NVIDIA/nccl
# USE_NCCL := 1

# Builds tests with 16 bit float support in addition to 32 and 64 bit.
# TEST_FP16 := 1

# uncomment to disable IO dependencies and corresponding data layers
# USE_OPENCV := 0
# USE_LEVELDB := 0
# USE_LMDB := 0

# 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.
CUDA_ARCH := -gencode arch=compute_62,code=sm_62 \
             -gencode arch=compute_62,code=compute_62

# BLAS choice:
# atlas for ATLAS
# mkl for MKL
# open for OpenBlas - default, see https://github.com/xianyi/OpenBLAS
BLAS := open
# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
BLAS_INCLUDE := /opt/OpenBLAS/include/
BLAS_LIB := /opt/OpenBLAS/lib/

# 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/python3.6 \
#               /usr/lib/python3.6/dist-packages/numpy/core/include
# Anaconda Python distribution is quite popular. Include path:
# Verify anaconda location, sometimes it's in root.
# ANACONDA_HOME := $(HOME)/anaconda
# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
                # $(ANACONDA_HOME)/include/python2.7 \
                # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \

# Uncomment to use Python 3 (default is Python 2)
PYTHON_LIBRARIES := boost_python3 python3.6m
PYTHON_INCLUDE := /usr/include/python3.6m \
                 /usr/lib/python3.6/dist-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 /usr/include/hdf5/serial
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial

# 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 ?= @

# shared object suffix name to differentiate branches
LIBRARY_NAME_SUFFIX := -nv

and I run run this code on python3

import  caffe
caffe.set_device(0)
caffe.set_mode_gpu()

it say

Segmentation fault (core dumped)
5

Hi,

Try this

import  caffe
caffe.set_mode_gpu()
caffe.set_device(device_id)

Thanks.

6

I find a caffe packages at /usr/lib/python3/dist-packages，so I remove it 。and i re-compile caffe 。It works！！

7

Glad to know it works, thanks for the update.