Groups keyboard shortcuts have been updated

Dismiss

See shortcuts

Caffe Users

1–30 of 8727

0 selected

Tahrir Siddiqui, Tamas Nemes3

8/6/20

Caffe-SSD Compilation Error compiling cudnn_conv_layer.cpp: 'CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT’ was not declared in this scope

Besides, I just saw it in your description. Using CUDA 11 with caffe-ssd is very risky, since plenty

unread,

Caffe-SSD Compilation Error compiling cudnn_conv_layer.cpp: 'CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT’ was not declared in this scope

Besides, I just saw it in your description. Using CUDA 11 with caffe-ssd is very risky, since plenty

8/6/20

Dr Aarij Mahmood Hussaan, Dennis Mungai2

11/24/19

Build error on Ubuntu 19 and CUDA 10

Most likely, your CUDA installation is incomplete. Do you have a file in /etc/ld.so.conf.d/ named

unread,

Build error on Ubuntu 19 and CUDA 10

Most likely, your CUDA installation is incomplete. Do you have a file in /etc/ld.so.conf.d/ named

11/24/19

Mai, Jan0219812

9/8/19

Need Help for Installaion - Windows 10

Am Sonntag, 1. September 2019 18:24:03 UTC+2 schrieb Mai: I tried to install Caffe on my windows 10

unread,

Need Help for Installaion - Windows 10

Am Sonntag, 1. September 2019 18:24:03 UTC+2 schrieb Mai: I tried to install Caffe on my windows 10

9/8/19

systemye...@gmail.com, 2013...@student.hut.edu.vn3

4/3/19

How could I know my caffe version ?

Thank you. However: 'module' object has no attribute '__version__' 在 2019年4月3日星期三 UTC

unread,

How could I know my caffe version ?

Thank you. However: 'module' object has no attribute '__version__' 在 2019年4月3日星期三 UTC

4/3/19

1/25/19

Trying to install caffe on Ubuntu 18.04 GPU TitanX CUDA 9.1 CuDNN 7.1 without Anaconda Python 3.6

I have also tried ln -sf /usr/local/cuda/lib64/libcudnn.so.7.1.2 /usr/local/cuda/lib64/libcudnn.so as

unread,

Trying to install caffe on Ubuntu 18.04 GPU TitanX CUDA 9.1 CuDNN 7.1 without Anaconda Python 3.6

I have also tried ln -sf /usr/local/cuda/lib64/libcudnn.so.7.1.2 /usr/local/cuda/lib64/libcudnn.so as

1/25/19

12/4/18

ssd-caffe make -j8 failed with error

I think i found the solution. When I did below, issue got resolved: PYTHON_LIB := /usr/lib

unread,

ssd-caffe make -j8 failed with error

I think i found the solution. When I did below, issue got resolved: PYTHON_LIB := /usr/lib

12/4/18

10/20/18

Cannot create Cublas handle

Gooday, I am attempting to run a demo.py with my local Caffe build, but am getting the following

unread,

Cannot create Cublas handle

Gooday, I am attempting to run a demo.py with my local Caffe build, but am getting the following

10/20/18

黄濑, Jason Ho2

8/28/19

I got this error what can I do ? It looks like an error caused by cudnn's version

Did you have any luck with solving this? What did you end up doing? On Wednesday, 10 October 2018 19:

unread,

I got this error what can I do ? It looks like an error caused by cudnn's version

Did you have any luck with solving this? What did you end up doing? On Wednesday, 10 October 2018 19:

8/28/19

7/24/18

Re: Build PyCaffe Error

Yes all dependencies were installed correctly and I think that's why I was able to make Caffe. I

unread,

Re: Build PyCaffe Error

Yes all dependencies were installed correctly and I think that's why I was able to make Caffe. I

7/24/18

Shrabani Ghosh, Siyuan4

7/11/18

CuDNNDeconvolutionLayer input must have 2 spatial axes (e.g., height and width).

Thank You so much I solved it. On Tuesday, July 10, 2018 at 10:56:37 PM UTC-4, Siyuan wrote: Hi,

unread,

convolution_layer

CuDNNDeconvolutionLayer input must have 2 spatial axes (e.g., height and width).

Thank You so much I solved it. On Tuesday, July 10, 2018 at 10:56:37 PM UTC-4, Siyuan wrote: Hi,

7/11/18

WinJia Cheng, Przemek D2

8/20/18

needed by /usr/local/lib/libcaffe-nv.so, not found

Looks like you have multiple versions of CUDA installed. On Wednesday, May 16, 2018 at 8:47:23 AM UTC

unread,

needed by /usr/local/lib/libcaffe-nv.so, not found

Looks like you have multiple versions of CUDA installed. On Wednesday, May 16, 2018 at 8:47:23 AM UTC

8/20/18

mjj...@gmail.com, Przemek D3

4/10/18

caffe use cudnn

oh～thx for your reply. I have solved this problem. when I use the compiled caffe (the caffe library)

unread,

caffe use cudnn

oh～thx for your reply. I have solved this problem. when I use the compiled caffe (the caffe library)

4/10/18

2/22/18

Caffe make Problem NVCC

I am trying to build caffe with make all command OS: Ubuntu CUDA 8.0 CuDnn 5.1 GPU 1080 ti Terminal

unread,

Caffe make Problem NVCC

I am trying to build caffe with make all command OS: Ubuntu CUDA 8.0 CuDnn 5.1 GPU 1080 ti Terminal

2/22/18

Prodromos Alampritis, Harsh Sharma3

12/17/18

numpy/arrayobject.h: No such file or directory

And how do you install numpy via apt-get? I did sudo apt-get install python-numpy but on import numpy

unread,

numpy/arrayobject.h: No such file or directory

And how do you install numpy via apt-get? I did sudo apt-get install python-numpy but on import numpy

12/17/18

Prodromos Alampritis, … Przemek D8

3/9/18

CaffeIssue: Makefile:532: recipe for target 'runtest' failed make: *** [runtest] Abort(core dumped)

Your problem is different, much simpler. Just read the error log carefully - your GPU runs out of

unread,

CaffeIssue: Makefile:532: recipe for target 'runtest' failed make: *** [runtest] Abort(core dumped)

Your problem is different, much simpler. Just read the error log carefully - your GPU runs out of

3/9/18

mayang...@gmail.com

12/27/17

why caffe didn't use cudnn version of batchnorm？

the performance of resnet is really bad compared to other frameworks... I think the bottleneck is

unread,

why caffe didn't use cudnn version of batchnorm？

the performance of resnet is really bad compared to other frameworks... I think the bottleneck is

12/27/17

Philip Meier, … myriadde...@gmail.com5

9/4/18

Caffe stoppd working (CUDNN_STATUS_INTERNAL_ERROR, Cannot create Cublas handle)

I have the exact same problem with you, how did you solve it after that? 在 2017年10月25日星期三 UTC-4上午9:20

unread,

Caffe stoppd working (CUDNN_STATUS_INTERNAL_ERROR, Cannot create Cublas handle)

I have the exact same problem with you, how did you solve it after that? 在 2017年10月25日星期三 UTC-4上午9:20

9/4/18

Philip Meier, Przemek D5

9/28/17

Runtest fails after succesful compilation

Glad to hear you sorted it out. And thank you for posting your solution for others to find! W dniu

unread,

Runtest fails after succesful compilation

Glad to hear you sorted it out. And thank you for posting your solution for others to find! W dniu

9/28/17

Sut, Francis Charette Migneault2

4/1/17

cudnn.hpp(114): error : too few arguments in function call

This has been fixed just recently (March 29 2017), pull the latest source commits. The problem is due

unread,

cudnn.hpp(114): error : too few arguments in function call

This has been fixed just recently (March 29 2017), pull the latest source commits. The problem is due

4/1/17

3/25/17

HDF5 data with different size of input

Hello, I am training a network with HDF5 data layer which has different blob size as input for each

unread,

HDF5 data with different size of input

Hello, I am training a network with HDF5 data layer which has different blob size as input for each

3/25/17

Mythic Cocoa, Przemek D7

3/17/17

Error linking CXX executables

Oh by "clean system" I meant free from multiple cuDNN/CUDA installations. Sorry for the

unread,

Error linking CXX executables

Oh by "clean system" I meant free from multiple cuDNN/CUDA installations. Sorry for the

3/17/17

Bart Vosteen, Detlef Schmicker3

2/20/17

cuDNN: same network, varying runtimes

I use a GTX 1060 6Gb. To my knowledge all its memory is attached with the same bandwidth. Just to

unread,

cuDNN: same network, varying runtimes

I use a GTX 1060 6Gb. To my knowledge all its memory is attached with the same bandwidth. Just to

2/20/17

Veith Roethlingshoefer

2/14/17

CuDNN breaks the segmentation network

Hello, I have successfully installed and run inference on PSPNet (https://github.com/hszhao/PSPNet).

unread,

CuDNN breaks the segmentation network

Hello, I have successfully installed and run inference on PSPNet (https://github.com/hszhao/PSPNet).

2/14/17

john1...@gmail.com2

2/8/17

Is it possible to run Cuda 8.0 + CuDNN 4.0 in caffe? (error == cudaSuccess (8 vs. 0))

It is very funny that different way to build caffe can solve the issue. First way: mkdir build cd

unread,

Is it possible to run Cuda 8.0 + CuDNN 4.0 in caffe? (error == cudaSuccess (8 vs. 0))

It is very funny that different way to build caffe can solve the issue. First way: mkdir build cd

2/8/17

jure...@eng.ucsd.edu, Andy Tsang3

5/8/17

make all build fails 1.0.0-rc3

I have the exactly same error, have you figure out how to solve yet?? On Friday, 3 February 2017 13:

unread,

make all build fails 1.0.0-rc3

I have the exactly same error, have you figure out how to solve yet?? On Friday, 3 February 2017 13:

5/8/17

1/5/17

Is caffe running with or without cuDNN?

Hi, I am using a system that has Caffe/cuda/cudnn already installed. I want to confirm if the Caffe

unread,

Is caffe running with or without cuDNN?

Hi, I am using a system that has Caffe/cuda/cudnn already installed. I want to confirm if the Caffe

1/5/17

12/6/16

CuDNNBNLayer has no member named ...

Hi, I'm trying to install the following code with CuDnn support (set in Makefile.config), using

unread,

CuDNNBNLayer has no member named ...

Hi, I'm trying to install the following code with CuDnn support (set in Makefile.config), using

12/6/16

Hossein Hasanpour, sayad yaghoobi3

4/24/17

Running DeepDream, causes to the error error == cudaSuccess (4 vs. 0) unspecified launch failure

i have this issue with caffe if you could solve the problem please share your way : I0424 17:01:

unread,

Running DeepDream, causes to the error error == cudaSuccess (4 vs. 0) unspecified launch failure

i have this issue with caffe if you could solve the problem please share your way : I0424 17:01:

4/24/17

Venkat, … par...@unlv.nevada.edu3

8/14/17

CUDA 8 pooling_layer.cu:212 Check failed: error == cudaSuccess (8 vs. 0) invalid device function

Thank you. On Saturday, November 12, 2016 at 5:51:42 PM UTC-8, Felix Abecassis wrote: You're very

unread,

CUDA 8 pooling_layer.cu:212 Check failed: error == cudaSuccess (8 vs. 0) invalid device function

Thank you. On Saturday, November 12, 2016 at 5:51:42 PM UTC-8, Felix Abecassis wrote: You're very

8/14/17

Faraz Fazli, … Noah Toyonaga6

11/7/16

macOS El Capitan/Sierra Easy Build Tool

Hey guys, So I finished a good part of the tool, but haven't finished concurrent installations as

unread,

macOS El Capitan/Sierra Easy Build Tool

Hey guys, So I finished a good part of the tool, but haven't finished concurrent installations as

11/7/16

Search

Clear search

Close search

Google apps

Main menu