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Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

License: Other

Python 14.51% Shell 0.04% C++ 1.27% C 0.12% Makefile 0.04% HTML 0.34% Jupyter Notebook 83.68%

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decaf-release's Issues

Issue with MPI

Hi,

When I try to import the imagenet module, I get the following error:
screenshot from 2014-03-11 17 46 33

Could you tell me what is the issue here?

Getting an error: unrecognized command line option ‘-Wl’

Running python setup.py build I see errors about the -Wl flag

According to http://linux.die.net/man/1/g++ , -Wl is used to pass options - it looks like here there are no options in the Makefile in layers/cpp? Is there any reason for that flag to be there?

Error output

$python setup.py build
make -C layers/cpp/
make[1]: Entering directory `/home/kkastner/proj/decaf-release/decaf/layers/cpp'
g++ -c -fPIC -O3 -Wall -ffast-math -msse -msse2 -fopenmp im2col.cpp fastpool.cpp local_response_normalization.cpp neuron.cpp
g++ -shared -Wl -fopenmp -lgomp -o libcpputil.so *.o
g++: error: unrecognized command line option ‘-Wl’
make[1]: *** [all] Error 1
make[1]: Leaving directory `/home/kkastner/proj/decaf-release/decaf/layers/cpp'
make: *** [all] Error 2
running build
running build_py

unrecognized option -Wl

Hi, when I run python setup.py build on both my mac and linux machines I get an error while compiling: unrecognized option: "-Wl"

I edited the file layers/cpp/Makefile and removed the -Wl from the linking options and it built and installed just fine. I am not sure what that option does but that is how I made it work for me.

Thank you!

Can you provide the pre-trained ImageNet models?

Hi,
There is a network system still rely on DeCAF to work, including the imagenet.decafnet.epoch90 and the imagenet.decafnet.meta.
Can you provide these pre-trained ImageNet models for me? Thanks!

Can you provide the pre-trained ImageNet models

Hi,
There is a network system still rely on DeCAF to work, including the imagenet.decafnet.epoch90 and the imagenet.decafnet.meta.
Can you provide these pre-trained ImageNet models for me? Thanks!

Building on OSX Mavericks

To get decaf to build on OSX 10.9 (Mavericks) I had to modify decaf/layers/cpp/Makefile and remove the line "CC=g++" because 10.9 ships with clang installed by default, the current version of which doesn't support OpenMP.

Instead, I installed gcc from MacPorts, commented out that line, and did an "export CC=g++-mp-4.8" before running python setup.py build.

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