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View Code? Open in Web Editor NEWA conda-smithy repository for caffe.
License: BSD 3-Clause "New" or "Revised" License
A conda-smithy repository for caffe.
License: BSD 3-Clause "New" or "Revised" License
I ran the commands for installing a caffe environment but it doesn't work at all, it seems. I'm on Linux Mint and used the following:
olivia@Love11 ~/Downloads $ conda create -n CAFFE -c conda-forge caffe
Fetching package metadata .........
Solving package specifications: ..........
Package plan for installation in environment /home/olivia/anaconda2/envs/CAFFE:
The following packages will be downloaded:
package | build
---------------------------|-----------------
ca-certificates-2016.9.26 | 0 162 KB conda-forge
gettext-0.19.7 | 1 5.6 MB conda-forge
gflags-2.1.2 | 0 85 KB conda-forge
glog-0.3.4 | 0 570 KB conda-forge
icu-56.1 | 4 21.9 MB conda-forge
jpeg-9b | 0 918 KB conda-forge
libffi-3.2.1 | 2 47 KB conda-forge
libiconv-1.14 | 3 2.0 MB conda-forge
lmdb-0.9.18 | 0 499 KB conda-forge
ncurses-5.9 | 9 954 KB conda-forge
pcre-8.38 | 1 631 KB conda-forge
pixman-0.34.0 | 0 3.6 MB conda-forge
snappy-1.1.3 | 2 103 KB conda-forge
sqlite-3.13.0 | 1 4.9 MB conda-forge
tk-8.5.19 | 0 1.9 MB conda-forge
xz-5.2.2 | 0 853 KB conda-forge
yaml-0.1.6 | 0 300 KB conda-forge
zlib-1.2.8 | 3 87 KB conda-forge
glib-2.48.0 | 4 4.7 MB conda-forge
hdf5-1.8.17 | 7 3.9 MB conda-forge
jasper-1.900.1 | 3 271 KB conda-forge
leveldb-1.18 | 0 308 KB conda-forge
libpng-1.6.26 | 0 297 KB conda-forge
libtiff-4.0.6 | 7 507 KB conda-forge
libxml2-2.9.4 | 3 4.9 MB conda-forge
openblas-0.2.19 | 0 14.1 MB conda-forge
openssl-1.0.2h | 2 3.4 MB conda-forge
readline-6.2 | 0 713 KB conda-forge
blas-1.1 | openblas 1 KB conda-forge
freetype-2.6.3 | 1 2.8 MB conda-forge
python-2.7.12 | 1 15.5 MB conda-forge
backports.shutil_get_terminal_size-1.0.0| py27_0 5 KB conda-forge
boost-1.62.0 | py27_0 17.3 MB conda-forge
certifi-2016.9.26 | py27_0 217 KB conda-forge
decorator-4.0.10 | py27_0 12 KB conda-forge
enum34-1.1.6 | py27_1 54 KB conda-forge
fontconfig-2.11.1 | 3 874 KB conda-forge
functools32-3.2.3.2 | py27_1 16 KB conda-forge
ipython_genutils-0.1.0 | py27_0 33 KB conda-forge
numpy-1.11.2 |py27_blas_openblas_202 7.1 MB conda-forge
pillow-3.4.2 | py27_0 926 KB conda-forge
ptyprocess-0.5.1 | py27_0 19 KB conda-forge
pyparsing-2.1.10 | py27_0 91 KB conda-forge
python-gflags-2.0 | py27_1 52 KB conda-forge
python-leveldb-0.193 | py27_0 1.0 MB conda-forge
pytz-2016.7 | py27_0 161 KB conda-forge
pyyaml-3.11 | py27_0 339 KB conda-forge
simplegeneric-0.8.1 | py27_0 6 KB conda-forge
sip-4.18 | py27_0 263 KB conda-forge
six-1.10.0 | py27_1 18 KB conda-forge
wcwidth-0.1.7 | py27_0 22 KB conda-forge
cairo-1.12.18 | 8 1.1 MB conda-forge
cycler-0.10.0 | py27_0 13 KB conda-forge
h5py-2.6.0 | np111py27_7 2.7 MB conda-forge
networkx-1.11 | py27_0 1.5 MB conda-forge
opencv-2.4.12 | np111py27_2 7.8 MB conda-forge
pathlib2-2.1.0 | py27_0 26 KB conda-forge
pexpect-4.2.1 | py27_0 65 KB conda-forge
python-dateutil-2.6.0 | py27_0 232 KB conda-forge
scipy-0.17.1 |np111py27_blas_openblas_205 31.4 MB conda-forge
setuptools-28.8.0 | py27_0 356 KB conda-forge
traitlets-4.3.1 | py27_0 121 KB conda-forge
harfbuzz-1.0.6 | 0 3.0 MB conda-forge
pandas-0.19.1 | np111py27_0 16.7 MB conda-forge
pickleshare-0.7.3 | py27_0 8 KB conda-forge
protobuf-3.0.0 | py27_0 6.6 MB conda-forge
pygments-2.1.3 | py27_1 1.2 MB conda-forge
wheel-0.29.0 | py27_0 81 KB conda-forge
pango-1.40.1 | 0 912 KB conda-forge
pip-9.0.1 | py27_0 1.6 MB conda-forge
prompt_toolkit-1.0.9 | py27_0 313 KB conda-forge
ipython-5.1.0 | py27_1 980 KB conda-forge
qt-4.8.7 | 3 31.3 MB conda-forge
pyqt-4.11.4 | py27_1 3.5 MB conda-forge
matplotlib-1.5.3 | np111py27_2 6.6 MB conda-forge
scikit-image-0.12.3 | np111py27_0 27.3 MB conda-forge
caffe-1.0.0rc3 |py27_blas_openblas_203 2.3 MB conda-forge
------------------------------------------------------------
Total: 272.6 MB
The following NEW packages will be INSTALLED:
backports.shutil_get_terminal_size: 1.0.0-py27_0 conda-forge
blas: 1.1-openblas conda-forge
boost: 1.62.0-py27_0 conda-forge
ca-certificates: 2016.9.26-0 conda-forge
caffe: 1.0.0rc3-py27_blas_openblas_203 conda-forge [blas_openblas]
cairo: 1.12.18-8 conda-forge
certifi: 2016.9.26-py27_0 conda-forge
cycler: 0.10.0-py27_0 conda-forge
decorator: 4.0.10-py27_0 conda-forge
enum34: 1.1.6-py27_1 conda-forge
fontconfig: 2.11.1-3 conda-forge
freetype: 2.6.3-1 conda-forge
functools32: 3.2.3.2-py27_1 conda-forge
gettext: 0.19.7-1 conda-forge
gflags: 2.1.2-0 conda-forge
glib: 2.48.0-4 conda-forge
glog: 0.3.4-0 conda-forge
h5py: 2.6.0-np111py27_7 conda-forge
harfbuzz: 1.0.6-0 conda-forge
hdf5: 1.8.17-7 conda-forge
icu: 56.1-4 conda-forge
ipython: 5.1.0-py27_1 conda-forge
ipython_genutils: 0.1.0-py27_0 conda-forge
jasper: 1.900.1-3 conda-forge
jpeg: 9b-0 conda-forge
leveldb: 1.18-0 conda-forge
libffi: 3.2.1-2 conda-forge
libgfortran: 3.0.0-1
libiconv: 1.14-3 conda-forge
libpng: 1.6.26-0 conda-forge
libtiff: 4.0.6-7 conda-forge
libxml2: 2.9.4-3 conda-forge
lmdb: 0.9.18-0 conda-forge
matplotlib: 1.5.3-np111py27_2 conda-forge
ncurses: 5.9-9 conda-forge
networkx: 1.11-py27_0 conda-forge
numpy: 1.11.2-py27_blas_openblas_202 conda-forge [blas_openblas]
openblas: 0.2.19-0 conda-forge
opencv: 2.4.12-np111py27_2 conda-forge
openssl: 1.0.2h-2 conda-forge
pandas: 0.19.1-np111py27_0 conda-forge
pango: 1.40.1-0 conda-forge
pathlib2: 2.1.0-py27_0 conda-forge
pcre: 8.38-1 conda-forge
pexpect: 4.2.1-py27_0 conda-forge
pickleshare: 0.7.3-py27_0 conda-forge
pillow: 3.4.2-py27_0 conda-forge
pip: 9.0.1-py27_0 conda-forge
pixman: 0.34.0-0 conda-forge
prompt_toolkit: 1.0.9-py27_0 conda-forge
protobuf: 3.0.0-py27_0 conda-forge
ptyprocess: 0.5.1-py27_0 conda-forge
pygments: 2.1.3-py27_1 conda-forge
pyparsing: 2.1.10-py27_0 conda-forge
pyqt: 4.11.4-py27_1 conda-forge
python: 2.7.12-1 conda-forge
python-dateutil: 2.6.0-py27_0 conda-forge
python-gflags: 2.0-py27_1 conda-forge
python-leveldb: 0.193-py27_0 conda-forge
pytz: 2016.7-py27_0 conda-forge
pyyaml: 3.11-py27_0 conda-forge
qt: 4.8.7-3 conda-forge
readline: 6.2-0 conda-forge
scikit-image: 0.12.3-np111py27_0 conda-forge
scipy: 0.17.1-np111py27_blas_openblas_205 conda-forge [blas_openblas]
setuptools: 28.8.0-py27_0 conda-forge
simplegeneric: 0.8.1-py27_0 conda-forge
sip: 4.18-py27_0 conda-forge
six: 1.10.0-py27_1 conda-forge
snappy: 1.1.3-2 conda-forge
sqlite: 3.13.0-1 conda-forge
tk: 8.5.19-0 conda-forge
traitlets: 4.3.1-py27_0 conda-forge
wcwidth: 0.1.7-py27_0 conda-forge
wheel: 0.29.0-py27_0 conda-forge
xz: 5.2.2-0 conda-forge
yaml: 0.1.6-0 conda-forge
zlib: 1.2.8-3 conda-forge
Proceed ([y]/n)? y
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#
# To activate this environment, use:
# > source activate CAFFE
#
# To deactivate this environment, use:
# > source deactivate CAFFE
#
olivia@Love11 ~/Downloads $ source activate CAFFE
(CAFFE) olivia@Love11 ~/GitHub/caffe-video_triplet/python $ python -c 'import caffe; print(caffe.__version__)'
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "caffe/__init__.py", line 1, in <module>
from .pycaffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, RMSPropSolver, AdaDeltaSolver, AdamSolver
File "caffe/pycaffe.py", line 13, in <module>
from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \
ImportError: No module named _caffe
I have a problem with the command line tools provided by caffe on Ubuntu 16.04
Doing
$ conda create -n test python=3.6
$ source activate test
$ conda install caffe
$ convert_imageset
I get
convert_imageset: symbol lookup error: convert_imageset: undefined symbol: _ZN6google14FlagRegistererC1EPKcS2_S2_S2_PvS3_
The output of $ c++filt _ZN6google14FlagRegistererC1EPKcS2_S2_S2_PvS3_
is
google::FlagRegisterer::FlagRegisterer(char const*, char const*, char const*, char const*, void*, void*)
The respective binary of convert_imageset
is for me in $CONDA_ROOT/envs/test/bin
Since many tutorials or training instructions for caffe nets rely on these tools it would be great if they would work out of the box with the conda install.
So i'm trying this code demo here: https://tolotra.com/2018/09/15/how-to-retrain-ssd-mobilenet-for-real-time-object-detection-using-a-raspberry-pi-and-movidius-neural-compute-stick/#comment-71 and installed the caffe library using conda-forge repo, but when i tried to run a shell program like this:
root_dir=$cur_dir/../..
cd $root_dir
redo=1
dataset_name="bird_dataset" #Edit this to your dataset name. Don't change anything else
data_root_dir="$HOME/python_train/mobilenet-ssd/$dataset_name"
mapfile="$data_root_dir/labelmap.prototxt"
anno_type="detection"
db="lmdb"
min_dim=0
max_dim=0
width=0
height=0
extra_cmd="--encode-type=jpg --encoded"
if [ $redo ]
then
extra_cmd="$extra_cmd --redo"
fi
for subset in test trainval
do
python $root_dir/scripts/create_annoset.py --anno-type=$anno_type --label-map-file=$mapfile --min-dim=$min_dim --max-dim=$max_dim --resize-width=$width --resize-height=$height --check-label $extra_cmd $data_root_dir $data_root_dir/Structure/$subset.txt $data_root_dir/$dataset_name/$db/$dataset_name"_"$subset"_"$db examples/$dataset_name
done
that used caffe library, i got this problem:
ImportError: libprotobuf.so.21: cannot open shared object file: No such file or directory
conda info
active environment : env_dlib
active env location : /home/rheza/.conda/envs/env_dlib
shell level : 2
user config file : /home/rheza/.condarc
populated config files : /home/rheza/.condarc
conda version : 4.8.1
conda-build version : 3.18.9
python version : 3.7.4.final.0
virtual packages : __glibc=2.30
base environment : /opt/anaconda (read only)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /opt/anaconda/pkgs
/home/rheza/.conda/pkgs
envs directories : /home/rheza/.conda/envs
/opt/anaconda/envs
platform : linux-64
user-agent : conda/4.8.1 requests/2.22.0 CPython/3.7.4 Linux/4.19.101-1-lts arch/rolling glibc/2.30
UID:GID : 1000:1000
netrc file : None
offline mode : False
conda list --show-channel-urls
# packages in environment at /home/rheza/.conda/envs/env_dlib:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main defaults
absl-py 0.9.0 pypi_0 pypi
astor 0.8.1 pypi_0 pypi
backcall 0.1.0 py_0 conda-forge
boost 1.70.0 py36h9de70de_1 conda-forge
boost-cpp 1.70.0 h8e57a91_2 conda-forge
bzip2 1.0.8 h7b6447c_0 defaults
ca-certificates 2019.11.28 hecc5488_0 conda-forge
cachetools 4.0.0 pypi_0 pypi
caffe 1.0 py36hc3c8a5e_203 conda-forge
cairo 1.16.0 hfb77d84_1002 conda-forge
certifi 2019.11.28 py36_0 conda-forge
chardet 3.0.4 pypi_0 pypi
click 7.0 py36_0 defaults
cloudpickle 1.2.2 py_1 conda-forge
cycler 0.10.0 py36_0 defaults
cytoolz 0.10.1 py36h516909a_0 conda-forge
dask-core 2.10.1 py_0 conda-forge
dbus 1.13.12 h746ee38_0 defaults
decorator 4.4.1 py_0 conda-forge
dlib 19.19 py36h5245418_0 conda-forge
expat 2.2.6 he6710b0_0 defaults
ffmpeg 4.1.3 h167e202_0 conda-forge
flask 1.1.1 py_0 defaults
fontconfig 2.13.1 h86ecdb6_1001 conda-forge
freetype 2.9.1 h8a8886c_1 defaults
gast 0.2.2 pypi_0 pypi
gflags 2.2.2 he1b5a44_1002 conda-forge
giflib 5.1.4 h14c3975_1 defaults
glib 2.63.1 h5a9c865_0 defaults
glog 0.4.0 he1b5a44_1 conda-forge
gmp 6.1.2 h6c8ec71_1 defaults
gnutls 3.6.5 hd3a4fd2_1002 conda-forge
google-auth 1.11.0 pypi_0 pypi
google-auth-oauthlib 0.4.1 pypi_0 pypi
google-pasta 0.1.8 pypi_0 pypi
graphite2 1.3.13 h23475e2_0 defaults
grpcio 1.26.0 pypi_0 pypi
gst-plugins-base 1.14.5 h0935bb2_0 conda-forge
gstreamer 1.14.5 h36ae1b5_0 conda-forge
h5py 2.10.0 nompi_py36h513d04c_101 conda-forge
harfbuzz 2.4.0 h9f30f68_3 conda-forge
hdf5 1.10.5 nompi_h3c11f04_1104 conda-forge
icu 64.2 he1b5a44_1 conda-forge
idna 2.8 pypi_0 pypi
imageio 2.6.1 py36_0 conda-forge
imutils 0.5.3 py36_0 conda-forge
ipython 7.12.0 py36h5ca1d4c_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
itsdangerous 1.1.0 py36_0 defaults
jasper 1.900.1 hd497a04_4 defaults
jedi 0.16.0 py36_0 conda-forge
jinja2 2.10.3 py_0 defaults
jpeg 9c h14c3975_1001 conda-forge
keras-applications 1.0.8 pypi_0 pypi
keras-preprocessing 1.1.0 pypi_0 pypi
kiwisolver 1.1.0 py36he6710b0_0 defaults
lame 3.100 h7b6447c_0 defaults
ld_impl_linux-64 2.33.1 h53a641e_7 defaults
leveldb 1.18 h6416369_1001 conda-forge
libblas 3.8.0 14_openblas conda-forge
libcblas 3.8.0 14_openblas conda-forge
libedit 3.1.20181209 hc058e9b_0 defaults
libffi 3.2.1 hd88cf55_4 defaults
libgcc-ng 9.1.0 hdf63c60_0 defaults
libgfortran-ng 7.3.0 hdf63c60_0 defaults
libiconv 1.15 h63c8f33_5 defaults
liblapack 3.8.0 14_openblas conda-forge
liblapacke 3.8.0 14_openblas conda-forge
libopenblas 0.3.7 h5ec1e0e_6 conda-forge
libpng 1.6.37 hbc83047_0 defaults
libprotobuf 3.4.1 h5b8497f_0 defaults
libstdcxx-ng 9.1.0 hdf63c60_0 defaults
libtiff 4.1.0 h2733197_0 defaults
libuuid 2.32.1 h14c3975_1000 conda-forge
libwebp 1.0.1 h8e7db2f_0 defaults
libxcb 1.13 h1bed415_1 defaults
libxml2 2.9.9 hea5a465_1 defaults
lmdb 0.9.24 h516909a_0 conda-forge
lxml 4.2.4 pypi_0 pypi
markdown 3.1.1 pypi_0 pypi
markupsafe 1.1.1 py36h7b6447c_0 defaults
matplotlib 3.1.2 py36_1 conda-forge
matplotlib-base 3.1.2 py36h250f245_1 conda-forge
ncurses 6.1 he6710b0_1 defaults
nettle 3.4.1 h1bed415_1002 conda-forge
networkx 2.4 py_0 conda-forge
numpy 1.17.5 py36h95a1406_0 conda-forge
oauthlib 3.1.0 pypi_0 pypi
olefile 0.46 py36_0 defaults
opencv 4.1.0 py36h3aa1047_6 conda-forge
openh264 1.8.0 hd408876_0 defaults
openssl 1.1.1d h516909a_0 conda-forge
opt-einsum 3.1.0 pypi_0 pypi
pandas 1.0.0 py36hb3f55d8_0 conda-forge
parso 0.6.1 py_0 conda-forge
pcre 8.43 he6710b0_0 defaults
pexpect 4.8.0 py36_0 conda-forge
pickleshare 0.7.5 py36_1000 conda-forge
pillow 7.0.0 py36hb39fc2d_0 defaults
pip 20.0.2 py36_1 defaults
pixman 0.38.0 h7b6447c_0 defaults
prompt_toolkit 3.0.3 py_0 conda-forge
protobuf 3.11.2 pypi_0 pypi
ptyprocess 0.6.0 py_1001 conda-forge
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pygments 2.5.2 py_0 conda-forge
pyparsing 2.4.6 py_0 defaults
pyqt 5.9.2 py36h05f1152_2 defaults
pyqt5 5.10.1 pypi_0 pypi
python 3.6.10 h0371630_0 defaults
python-dateutil 2.8.1 py_0 defaults
python-gflags 3.1.2 py_0 conda-forge
python-leveldb 0.194 py36he1b5a44_1000 conda-forge
pytz 2019.3 py_0 conda-forge
pywavelets 1.1.1 py36hc1659b7_0 conda-forge
pyyaml 5.3 py36h516909a_0 conda-forge
qt 5.9.7 h0c104cb_3 conda-forge
readline 7.0 h7b6447c_5 defaults
requests 2.22.0 pypi_0 pypi
requests-oauthlib 1.3.0 pypi_0 pypi
rsa 4.0 pypi_0 pypi
scikit-image 0.16.2 py36hb3f55d8_0 conda-forge
scipy 1.4.1 py36h921218d_0 conda-forge
setuptools 45.1.0 py36_0 defaults
sip 4.19.8 pypi_0 pypi
six 1.14.0 py36_0 defaults
snappy 1.1.8 he1b5a44_1 conda-forge
sqlite 3.30.1 h7b6447c_0 defaults
tensorboard 2.1.0 pypi_0 pypi
tensorflow 2.1.0 pypi_0 pypi
tensorflow-estimator 2.1.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
tk 8.6.10 hed695b0_0 conda-forge
toolz 0.10.0 py_0 conda-forge
tornado 6.0.3 py36h7b6447c_0 defaults
traitlets 4.3.3 py36_0 conda-forge
urllib3 1.25.8 pypi_0 pypi
wcwidth 0.1.8 py_0 conda-forge
werkzeug 0.16.1 py_0 defaults
wheel 0.34.1 py36_0 defaults
wrapt 1.11.2 pypi_0 pypi
x264 1!152.20180806 h7b6447c_0 defaults
xorg-kbproto 1.0.7 h14c3975_1002 conda-forge
xorg-libice 1.0.10 h516909a_0 conda-forge
xorg-libsm 1.2.3 h84519dc_1000 conda-forge
xorg-libx11 1.6.9 h516909a_0 conda-forge
xorg-libxext 1.3.4 h516909a_0 conda-forge
xorg-libxrender 0.9.10 h516909a_1002 conda-forge
xorg-renderproto 0.11.1 h14c3975_1002 conda-forge
xorg-xextproto 7.3.0 h14c3975_1002 conda-forge
xorg-xproto 7.0.31 h14c3975_1007 conda-forge
xz 5.2.4 h14c3975_4 defaults
yaml 0.2.2 h516909a_1 conda-forge
zlib 1.2.11 h7b6447c_3 defaults
zstd 1.3.7 h0b5b093_0 defaults
please, help me. i'm stuck at this process. thank you
/opt/conda/lib/python3.6/site-packages/caffe/../../../libcaffe.so.1.0.0:
undefined symbol: _ZNK7leveldb6Status8ToStringB5cxx11Ev
While we may not be able to handle the build of Caffe with CUDA and cuDNN support, I would like us to coordinate a way to have a branch that one is able to build offline for one's own use for these feature. Am opening this issue so we can discuss this.
cc @sdvillal
We now support BLAS selection in conda-forge so we should update w.r.t. to that.
According to installation instructions Caffe works with Opencv 3: http://caffe.berkeleyvision.org/installation.html
Is there a reason that Opencv 2 is used here?
@conda-forge-admin, please re-render.
I was just wondering how hard it would be to add Windows support, since Microsoft seems to maintain a special branch for it: https://github.com/BVLC/caffe/tree/windows
But I'm not sure if all the requirements are available on the conda-forge or defaults channels
Hi,
I noticed that libcaffe.so
is linked to opencv 3.3. However the requirement in the .yaml
is broad 3.*
. Thus, a fresh install gave me opencv 3.4.
I fixed it by downgrading opencv manually.
Thanks for providing this!
Victor
The gflags 2.2.0 package does not provide a libgflags.so.2
file (conda-forge/gflags-feedstock#9) which causes an issue with the current caffe
build on Linux as the package links against this library.
Update the requirements to gflags >=2.2
and rebuilding the package will fix the immediate issue although the existing packages will still be broken as their requirements should be gflags <2.2
.
(caffe_test) ~$ python -c "import caffe"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/home/jhelmus/anaconda3/envs/caffe_test/lib/python3.6/site-packages/caffe/__init__.py", line 1, in <module>
from .pycaffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, RMSPropSolver, AdaDeltaSolver, AdamSolver, NCCL, Timer
File "/home/jhelmus/anaconda3/envs/caffe_test/lib/python3.6/site-packages/caffe/pycaffe.py", line 13, in <module>
from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, \
ImportError: libgflags.so.2: cannot open shared object file: No such file or directory
To my knowledge this has been folded into pytorch. Is it time to archive this feedstock?
Thanks you for providing this awesome recipe. I'm having some issues with using the install and perhaps this is a good place to ask. (if not apologies) I've installed caffe as follows:
ImportError: libprotobuf.so.12: cannot open shared object file: No such file or directory
I see /home/brad/anaconda3/envs/caffe/lib/libprotobuf.so.13 but not .so.12. Unfortunately I dont know to get the .12 version. Can you suggest a fix?
Thanks
@conda-forge-admin, please update circle.
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