Caffe - Revision history

Ianc: /* Matlab */

2026-03-08T23:08:00Z

Matlab

← Older revision		Revision as of 23:08, 8 March 2026
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	===Matlab===		===Matlab===
	If you need to use then please use Matlab 2015a and make sure you do the following commands in addition to what is above. Currently Matlab 2015a only supports GCC 4.7.x for compiling mex files.		If you need to use then please use [[Matlab]] 2015a and make sure you do the following commands in addition to what is above. Currently Matlab 2015a only supports GCC 4.7.x for compiling mex files.

	<pre>		<pre>

Mbaney at 15:42, 12 January 2023

2023-01-12T15:42:14Z

← Older revision		Revision as of 15:42, 12 January 2023
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			[https://caffe.berkeleyvision.org/ Caffe] is a deep learning framework.

	==Cuda + cuDNN==		==Cuda + cuDNN==
	On machines ~~running RHEL7~~ and the ~~nvidia~~ driver installed you can build Caffe with ~~Cuda~~ and cuDNN. ~~This has been tested as~~ of ~~Nov 12th 2015 commit 19028e7975fa464ce6835d513a25111e6aedda47~~.		On machines with GPUs and the NVIDIA driver installed, you can build Caffe with [[CUDA]] and cuDNN. Please note that there may be newer versions of CUDA and cuDNN available in the [[Modules \| module tree]] than the listed ones below.

			Run <code>nvidia-smi -L</code> to verify the NVIDIA driver is installed and can see your GPUs:
	<pre>		<pre>
	$ nvidia-smi -L		$ nvidia-smi -L
	GPU 0: GeForce GTX TITAN X (UUID: GPU-dd20c890-3d0f-942f-6e85-7b43c6bd03c5)		GPU 0: GeForce GTX TITAN X (UUID: GPU-dd20c890-3d0f-942f-6e85-7b43c6bd03c5)
	GPU 1: GeForce GTX TITAN X (UUID: GPU-b1d93efa-3d89-bb58-d4cb-b517ead36b27)		GPU 1: GeForce GTX TITAN X (UUID: GPU-b1d93efa-3d89-bb58-d4cb-b517ead36b27)
	~~GPU 2: NVS 310 (UUID: GPU-3c199b93-5899-ba43-bbe3-870a98f76457)~~
	</pre>		</pre>

	To build ~~caffe follow these instructions~~.		Add the modules, clone the Caffe repository, configure the Makefile options, and build.
	<pre>		<pre>
	module add cuda/7.5.18 cudnn/v3		$ module add cuda/8.0.44 cudnn/v5.1
	git clone https://github.com/BVLC/caffe.git		$ git clone https://github.com/BVLC/caffe.git
	cd caffe		Cloning into 'caffe'...
	cp Makefile.config.example Makefile.config		remote: Counting objects: 37328, done.
	# ~~set~~ the following options in a Makefile.config		remote: Compressing objects: 100% (11/11), done.
	~~# !!!~~ Make sure there are no trailing whitespace after these options		remote: Total 37328 (delta 11), reused 7 (delta 7), pack-reused 37310
	# ~~CUDNN~~ := 1		Receiving objects: 100% (37328/37328), 47.48 MiB \| 17.52 MiB/s, done.
			Resolving deltas: 100% (24927/24927), done.
			$ cd caffe/
			$ cp Makefile.config.example Makefile.config

			# Set the following options in Makefile.config (uncomment). Make sure there are no trailing whitespace after these options.
			# USE_CUDNN := 1
	# BLAS := open		# BLAS := open
	# CUDA_DIR := /opt/common/cuda/cuda-7.5.18/		# CUDA_DIR := /opt/common/cuda/cuda-8.0.44/
	make
	make test		$ make
	~~make runtest~~		...
			$ make test
			...
	</pre>		</pre>

	=== Matlab ===		===Matlab===
	If you need to use then please use Matlab 2015a and make sure you do the following commands in addition to what is above. Currently Matlab 2015a only supports GCC 4.7.x for compiling mex files.		If you need to use then please use Matlab 2015a and make sure you do the following commands in addition to what is above. Currently Matlab 2015a only supports GCC 4.7.x for compiling mex files.

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	</pre>		</pre>

	== CPU Only ==		==CPU Only==
	To build ~~caffe~~ follow these instructions.		To build Caffe with CPU-only capability, follow these instructions.
	<pre>		<pre>
	git clone https://github.com/BVLC/caffe.git		git clone https://github.com/BVLC/caffe.git

Derek at 03:36, 25 November 2015

2015-11-25T03:36:29Z

← Older revision		Revision as of 03:36, 25 November 2015
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	=== Matlab ===		=== Matlab ===
	If you need to use then please use Matlab 2015a and make sure you do the following commands in addition to what is above. Currently Matlab 2015a only ~~support~~ GCC 4.7.x for compiling mex files.		If you need to use then please use Matlab 2015a and make sure you do the following commands in addition to what is above. Currently Matlab 2015a only supports GCC 4.7.x for compiling mex files.

	<pre>		<pre>

Derek at 03:36, 25 November 2015

2015-11-25T03:36:13Z

← Older revision		Revision as of 03:36, 25 November 2015
Line 24:		Line 24:
	make test		make test
	make runtest		make runtest
			</pre>

			=== Matlab ===
			If you need to use then please use Matlab 2015a and make sure you do the following commands in addition to what is above. Currently Matlab 2015a only support GCC 4.7.x for compiling mex files.

			<pre>
			module add matlab/2015a gcc/4.7.4
			make matcaffe
	</pre>		</pre>

Derek at 17:47, 12 November 2015

2015-11-12T17:47:49Z

← Older revision		Revision as of 17:47, 12 November 2015
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	==Cuda + cuDNN==		==Cuda + cuDNN==
	On machines running RHEL7 and the nvidia driver installed you can build Caffe with Cuda and cuDNN.		On machines running RHEL7 and the nvidia driver installed you can build Caffe with Cuda and cuDNN. This has been tested as of Nov 12th 2015 commit 19028e7975fa464ce6835d513a25111e6aedda47.

	<pre>		<pre>

Derek at 17:26, 12 November 2015

2015-11-12T17:26:22Z

← Older revision		Revision as of 17:26, 12 November 2015
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	To build caffe follow these instructions.		To build caffe follow these instructions.
	<pre>		<pre>
	module add cuda/7.0.28 cudnn/v2		module add cuda/7.5.18 cudnn/v3
	git clone https://github.com/BVLC/caffe.git		git clone https://github.com/BVLC/caffe.git
	cd caffe		cd caffe
	cp Makefile.config.example Makefile.config		cp Makefile.config.example Makefile.config
	# set the following options in a Makefile.config		# set the following options in a Makefile.config
	# CUDNN := 1		# !!! Make sure there are no trailing whitespace after these options
	# BLAS := open		# CUDNN := 1
	# CUDA_DIR := /opt/common/cuda/cuda-7.0.28/		# BLAS := open
			# CUDA_DIR := /opt/common/cuda/cuda-7.5.18/
	make		make
	make test		make test

Derek: Created page with " ==Cuda + cuDNN== On machines running RHEL7 and the nvidia driver installed you can build Caffe with Cuda and cuDNN.

 $ nvidia-smi -L GPU 0: GeForce GTX TITAN X (UUID: G..."

2015-11-12T16:07:20Z

Created page with " ==Cuda + cuDNN== On machines running RHEL7 and the nvidia driver installed you can build Caffe with Cuda and cuDNN. <pre> $ nvidia-smi -L GPU 0: GeForce GTX TITAN X (UUID: G..."

New page

==Cuda + cuDNN==
On machines running RHEL7 and the nvidia driver installed you can build Caffe with Cuda and cuDNN.

<pre>
$ nvidia-smi -L
GPU 0: GeForce GTX TITAN X (UUID: GPU-dd20c890-3d0f-942f-6e85-7b43c6bd03c5)
GPU 1: GeForce GTX TITAN X (UUID: GPU-b1d93efa-3d89-bb58-d4cb-b517ead36b27)
GPU 2: NVS 310 (UUID: GPU-3c199b93-5899-ba43-bbe3-870a98f76457)
</pre>

To build caffe follow these instructions.
<pre>
module add cuda/7.0.28 cudnn/v2
git clone https://github.com/BVLC/caffe.git
cd caffe
cp Makefile.config.example Makefile.config
# set the following options in a Makefile.config
# CUDNN := 1
# BLAS := open
# CUDA_DIR := /opt/common/cuda/cuda-7.0.28/
make
make test
make runtest
</pre>

== CPU Only ==
To build caffe follow these instructions.
<pre>
git clone https://github.com/BVLC/caffe.git
cd caffe
cp Makefile.config.example Makefile.config
# set the following options in a Makefile.config
# CPUONLY := 1
# BLAS := open
make
make test
make runtest
</pre>