ghmole commented 6 years ago

Expected Behavior

tensorflow latest version is 1.8, but in the anaconda repository, still keep version 1.1, I try to install package downloading from PYPI, but many package conflict, making some issue in my program, do you have a plan to update tensorflow version?

Steps to Reproduce

Anaconda or Miniconda version:

Operating System:

`conda info`

`conda list --show-channel-urls`

183amir commented 6 years ago

Tensorflow till 1.7 is available in conda (the defaults channel) (at least for linux).

conda search tensorflow
Loading channels: ...working... done
# Name                  Version           Build  Channel             
tensorflow            0.10.0rc0     np111py27_0  pkgs/free           
tensorflow            0.10.0rc0     np111py34_0  pkgs/free           
tensorflow            0.10.0rc0     np111py35_0  pkgs/free           
tensorflow                1.0.1     np112py27_0  pkgs/free           
tensorflow                1.0.1     np112py35_0  pkgs/free           
tensorflow                1.0.1     np112py36_0  pkgs/free           
tensorflow                1.1.0     np111py27_0  pkgs/free           
tensorflow                1.1.0     np111py35_0  pkgs/free           
tensorflow                1.1.0     np111py36_0  pkgs/free           
tensorflow                1.1.0     np112py27_0  pkgs/free           
tensorflow                1.1.0     np112py35_0  pkgs/free           
tensorflow                1.1.0     np112py36_0  pkgs/free           
tensorflow                1.2.1          py27_0  pkgs/free           
tensorflow                1.2.1          py35_0  pkgs/free           
tensorflow                1.2.1          py36_0  pkgs/free           
tensorflow                1.3.0               0  pkgs/free           
tensorflow                1.4.1               0  pkgs/main           
tensorflow                1.5.0               0  pkgs/main           
tensorflow                1.6.0               0  pkgs/main           
tensorflow                1.7.0               0  pkgs/main

still it would be good to have 1.8 too. I need it as well.

uathena1991 commented 6 years ago

I am using OSX, when I do conda search tensorflow, there are only 1.1.0 available...

conda search tensorflow
Loading channels: done
# Name                  Version           Build  Channel             
tensorflow                1.1.0     np112py27_0  pkgs/free           
tensorflow                1.1.0     np112py35_0  pkgs/free           
tensorflow                1.1.0     np112py36_0  pkgs/free

jjhelmus commented 6 years ago

Tensorflow 1.8.0 is available for the linux-64 and win-64 platforms. We are still working on creating packages for OSX.

183amir commented 6 years ago

@jjhelmus I could not find the recipe of tensorflow-gpu 1.8. Is it publicly avialable?

jjhelmus commented 6 years ago

I need to sync a few recipes, including tensorflow-gpu. Will be available later today.

radzfoto commented 6 years ago

Can you also let us know the status of TF 1.8 on Windows 10, esp. tensorflow-gpu?

jjhelmus commented 6 years ago

@183amir The recipes used to build tensorflow can be found at https://github.com/AnacondaRecipes/tensorflow_recipes. Sorry for not getting these out earlier.

@radzfoto Tensorflow 1.8.0 is available for the win-64 platform for both Python 3.5 and 3.6. Work is ongoing to get a GPU version of Tensorflow 1.8.0 available for Windows.

subashgandyer commented 6 years ago

@jjhelmus How to get the tensorflow==1.8.0 for MacOSX? I get only 1.1.0 version. Help required here.

jjhelmus commented 6 years ago

We do not yet provide a Tensorflow 1.8.0 package on macOS.

msarahan commented 6 years ago

We are working to make this available as soon as possible, but there are currently segmentation faults in our builds that are preventing us from releasing them.

scheckley commented 6 years ago

can either the cpu or gpu version 1.8.0 be made available for ppc64le? thanks.

nehaljwani commented 6 years ago

Tensorflow 1.8.0 (GPU) is available for win-64 now.

If you have the CPU version installed, first uninstall it:

conda uninstall tensorflow

Then install the GPU version:

conda install tensorflow-gpu

DanielLenz commented 6 years ago

I find tensorflow-gpu 1.8 and can also install it via conda install tensorflow-gpu=1.8, but the default version is 1.0.1.

Is this the intended behavior?

~$ conda search tensorflow-gpu Loading channels: done

Name Version Build Channel

tensorflow-gpu 1.0.1 py27_4 pkgs/free tensorflow-gpu 1.0.1 py35_4 pkgs/free tensorflow-gpu 1.0.1 py36_4 pkgs/free tensorflow-gpu 1.1.0 np111py27_0 pkgs/free tensorflow-gpu 1.1.0 np111py35_0 pkgs/free tensorflow-gpu 1.1.0 np111py36_0 pkgs/free tensorflow-gpu 1.1.0 np112py27_0 pkgs/free tensorflow-gpu 1.1.0 np112py35_0 pkgs/free tensorflow-gpu 1.1.0 np112py36_0 pkgs/free tensorflow-gpu 1.2.1 py27cuda7.5cudnn5.1_0 pkgs/free tensorflow-gpu 1.2.1 py27cuda7.5cudnn6.0_0 pkgs/free tensorflow-gpu 1.2.1 py27cuda8.0cudnn5.1_0 pkgs/free tensorflow-gpu 1.2.1 py27cuda8.0cudnn6.0_0 pkgs/free tensorflow-gpu 1.2.1 py35cuda7.5cudnn5.1_0 pkgs/free tensorflow-gpu 1.2.1 py35cuda7.5cudnn6.0_0 pkgs/free tensorflow-gpu 1.2.1 py35cuda8.0cudnn5.1_0 pkgs/free tensorflow-gpu 1.2.1 py35cuda8.0cudnn6.0_0 pkgs/free tensorflow-gpu 1.2.1 py36cuda7.5cudnn5.1_0 pkgs/free tensorflow-gpu 1.2.1 py36cuda7.5cudnn6.0_0 pkgs/free tensorflow-gpu 1.2.1 py36cuda8.0cudnn5.1_0 pkgs/free tensorflow-gpu 1.2.1 py36cuda8.0cudnn6.0_0 pkgs/free tensorflow-gpu 1.3.0 0 pkgs/free tensorflow-gpu 1.4.1 0 pkgs/main tensorflow-gpu 1.5.0 0 pkgs/main tensorflow-gpu 1.6.0 0 pkgs/main tensorflow-gpu 1.7.0 0 pkgs/main tensorflow-gpu 1.8.0 h7b35bdc_0 pkgs/main ~$ conda install tensorflow-gpu Solving environment: done

Package Plan

environment location: /home/dlenz/anaconda

added / updated specs:

tensorflow-gpu

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
libprotobuf-3.5.2          |       h6f1eeef_0         4.2 MB
cudatoolkit-7.5            |                2       235.6 MB
cudnn-5.1                  |                0        77.2 MB
tensorflow-gpu-1.0.1       |           py36_4        77.6 MB
protobuf-3.5.2             |   py36hf484d3e_0         610 KB
------------------------------------------------------------
                                       Total:       395.1 MB

The following NEW packages will be INSTALLED:

cudatoolkit:    7.5-2
cudnn:          5.1-0
libprotobuf:    3.5.2-h6f1eeef_0
protobuf:       3.5.2-py36hf484d3e_0
tensorflow-gpu: 1.0.1-py36_4

~$ conda info

 active environment : None
        shell level : 0
   user config file : /home/dlenz/.condarc

populated config files : conda version : 4.5.4 conda-build version : 3.10.5 python version : 3.6.5.final.0 base environment : /home/dlenz/anaconda (writable) channel URLs : https://repo.anaconda.com/pkgs/main/linux-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/free/linux-64 https://repo.anaconda.com/pkgs/free/noarch https://repo.anaconda.com/pkgs/r/linux-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/pro/linux-64 https://repo.anaconda.com/pkgs/pro/noarch package cache : /home/dlenz/anaconda/pkgs /home/dlenz/.conda/pkgs envs directories : /home/dlenz/anaconda/envs /home/dlenz/.conda/envs platform : linux-64 user-agent : conda/4.5.4 requests/2.18.4 CPython/3.6.5 Linux/2.6.32-358.14.1.el6.x86_64 rhel/6.4 glibc/2.12 UID:GID : 6355:7580 netrc file : None offline mode : False

jjhelmus commented 6 years ago

@DanielLenz

I'm not sure why conda is choosing that version of tensorflow-gpu. Can you provide the output of conda list? I suspect something already installed the environment is causing the solver to prefer the older version.

DanielLenz commented 6 years ago

Here you go:

/home/dlenz$ conda list packages in environment at /home/dlenz/anaconda:

Name Version Build Channel _ipyw_jlab_nb_ext_conf 0.1.0 py36he11e457_0 alabaster 0.7.10 py36h306e16b_0 anaconda 5.2.0 py36_3 anaconda-client 1.6.14 py36_0 anaconda-navigator 1.8.7 py36_0 anaconda-project 0.8.2 py36h44fb852_0 asn1crypto 0.24.0 py36_0 astroid 1.6.3 py36_0 astropy 3.0.2 py36h3010b51_1 attrs 18.1.0 py36_0 babel 2.5.3 py36_0 backcall 0.1.0 py36_0 backports 1.0 py36hfa02d7e_1 backports.shutil_get_terminal_size 1.0.0 py36hfea85ff_2 beautifulsoup4 4.6.0 py36h49b8c8c_1 bitarray 0.8.1 py36h14c3975_1 bkcharts 0.2 py36h735825a_0 blas 1.0 mkl blaze 0.11.3 py36h4e06776_0 bleach 2.1.3 py36_0 blosc 1.14.3 hdbcaa40_0 bokeh 0.12.16 py36_0 boto 2.48.0 py36h6e4cd66_1 bottleneck 1.2.1 py36haac1ea0_0 bzip2 1.0.6 h14c3975_5 ca-certificates 2018.03.07 0 cairo 1.14.12 h7636065_2 certifi 2018.4.16 py36_0 cffi 1.11.5 py36h9745a5d_0 chardet 3.0.4 py36h0f667ec_1 click 6.7 py36h5253387_0 cloudpickle 0.5.3 py36_0 clyent 1.2.2 py36h7e57e65_1 colorama 0.3.9 py36h489cec4_0 conda 4.5.4 py36_0 conda-build 3.10.5 py36_0 conda-env 2.6.0 h36134e3_1 conda-verify 2.0.0 py36h98955d8_0 contextlib2 0.5.5 py36h6c84a62_0 cryptography 2.2.2 py36h14c3975_0 curl 7.60.0 h84994c4_0 cycler 0.10.0 py36h93f1223_0 cython 0.28.2 py36h14c3975_0 cytoolz 0.9.0.1 py36h14c3975_0 dask 0.17.5 py36_0 dask-core 0.17.5 py36_0 datashape 0.5.4 py36h3ad6b5c_0 dbus 1.13.2 h714fa37_1 decorator 4.3.0 py36_0 distributed 1.21.8 py36_0 docutils 0.14 py36hb0f60f5_0 entrypoints 0.2.3 py36h1aec115_2 et_xmlfile 1.0.1 py36hd6bccc3_0 expat 2.2.5 he0dffb1_0 fastcache 1.0.2 py36h14c3975_2 filelock 3.0.4 py36_0 flask 1.0.2 py36_1 flask-cors 3.0.4 py36_0 fontconfig 2.12.6 h49f89f6_0 freetype 2.8 hab7d2ae_1 get_terminal_size 1.0.0 haa9412d_0 gevent 1.3.0 py36h14c3975_0 glib 2.56.1 h000015b_0 glob2 0.6 py36he249c77_0 gmp 6.1.2 h6c8ec71_1 gmpy2 2.0.8 py36hc8893dd_2 graphite2 1.3.11 h16798f4_2 greenlet 0.4.13 py36h14c3975_0 gst-plugins-base 1.14.0 hbbd80ab_1 gstreamer 1.14.0 hb453b48_1 h5py 2.7.1 py36ha1f6525_2 harfbuzz 1.7.6 h5f0a787_1 hdf5 1.10.2 hba1933b_1 heapdict 1.0.0 py36_2 html5lib 1.0.1 py36h2f9c1c0_0 icu 58.2 h9c2bf20_1 idna 2.6 py36h82fb2a8_1 imageio 2.3.0 py36_0 imagesize 1.0.0 py36_0 intel-openmp 2018.0.0 8 ipykernel 4.8.2 py36_0 ipython 6.4.0 py36_0 ipython_genutils 0.2.0 py36hb52b0d5_0 ipywidgets 7.2.1 py36_0 isort 4.3.4 py36_0 itsdangerous 0.24 py36h93cc618_1 jbig 2.1 hdba287a_0 jdcal 1.4 py36_0 jedi 0.12.0 py36_1 jinja2 2.10 py36ha16c418_0 jpeg 9b h024ee3a_2 jsonschema 2.6.0 py36h006f8b5_0 jupyter 1.0.0 py36_4 jupyter_client 5.2.3 py36_0 jupyter_console 5.2.0 py36he59e554_1 jupyter_core 4.4.0 py36h7c827e3_0 jupyterlab 0.32.1 py36_0 jupyterlab_launcher 0.10.5 py36_0 kiwisolver 1.0.1 py36h764f252_0 lazy-object-proxy 1.3.1 py36h10fcdad_0 libcurl 7.60.0 h1ad7b7a_0 libedit 3.1.20170329 h6b74fdf_2 libffi 3.2.1 hd88cf55_4 libgcc-ng 7.2.0 hdf63c60_3 libgfortran-ng 7.2.0 hdf63c60_3 libpng 1.6.34 hb9fc6fc_0 libsodium 1.0.16 h1bed415_0 libssh2 1.8.0 h9cfc8f7_4 libstdcxx-ng 7.2.0 hdf63c60_3 libtiff 4.0.9 he85c1e1_1 libtool 2.4.6 h544aabb_3 libxcb 1.13 h1bed415_1 libxml2 2.9.8 h26e45fe_1 libxslt 1.1.32 h1312cb7_0 llvmlite 0.23.1 py36hdbcaa40_0 locket 0.2.0 py36h787c0ad_1 lxml 4.2.1 py36h23eabaa_0 lzo 2.10 h49e0be7_2 markupsafe 1.0 py36hd9260cd_1 matplotlib 2.2.2 py36h0e671d2_1 mccabe 0.6.1 py36h5ad9710_1 mistune 0.8.3 py36h14c3975_1 mkl 2018.0.2 1 mkl-service 1.1.2 py36h17a0993_4 mkl_fft 1.0.1 py36h3010b51_0 mkl_random 1.0.1 py36h629b387_0 more-itertools 4.1.0 py36_0 mpc 1.0.3 hec55b23_5 mpfr 3.1.5 h11a74b3_2 mpmath 1.0.0 py36hfeacd6b_2 msgpack-python 0.5.6 py36h6bb024c_0 multipledispatch 0.5.0 py36_0 navigator-updater 0.2.1 py36_0 nbconvert 5.3.1 py36hb41ffb7_0 nbformat 4.4.0 py36h31c9010_0 ncurses 6.1 hf484d3e_0 networkx 2.1 py36_0 nltk 3.3.0 py36_0 nose 1.3.7 py36hcdf7029_2 notebook 5.5.0 py36_0 numba 0.38.0 py36h637b7d7_0 numexpr 2.6.5 py36h7bf3b9c_0 numpy 1.14.3 py36hcd700cb_1 numpy-base 1.14.3 py36h9be14a7_1 numpydoc 0.8.0 py36_0 odo 0.5.1 py36h90ed295_0 olefile 0.45.1 py36_0 openpyxl 2.5.3 py36_0 openssl 1.0.2o h20670df_0 packaging 17.1 py36_0 pandas 0.23.0 py36h637b7d7_0 pandoc 1.19.2.1 hea2e7c5_1 pandocfilters 1.4.2 py36ha6701b7_1 pango 1.41.0 hd475d92_0 parso 0.2.0 py36_0 partd 0.3.8 py36h36fd896_0 patchelf 0.9 hf79760b_2 path.py 11.0.1 py36_0 pathlib2 2.3.2 py36_0 patsy 0.5.0 py36_0 pcre 8.42 h439df22_0 pep8 1.7.1 py36_0 pexpect 4.5.0 py36_0 pickleshare 0.7.4 py36h63277f8_0 pillow 5.1.0 py36h3deb7b8_0 pip 10.0.1 py36_0 pixman 0.34.0 hceecf20_3 pkginfo 1.4.2 py36_1 pluggy 0.6.0 py36hb689045_0 ply 3.11 py36_0 prompt_toolkit 1.0.15 py36h17d85b1_0 psutil 5.4.5 py36h14c3975_0 ptyprocess 0.5.2 py36h69acd42_0 py 1.5.3 py36_0 pycodestyle 2.4.0 py36_0 pycosat 0.6.3 py36h0a5515d_0 pycparser 2.18 py36hf9f622e_1 pycrypto 2.6.1 py36h14c3975_8 pycurl 7.43.0.1 py36hb7f436b_0 pyflakes 1.6.0 py36h7bd6a15_0 pygments 2.2.0 py36h0d3125c_0 pylint 1.8.4 py36_0 pyodbc 4.0.23 py36hf484d3e_0 pyopenssl 18.0.0 py36_0 pyparsing 2.2.0 py36hee85983_1 pyqt 5.9.2 py36h751905a_0 pysocks 1.6.8 py36_0 pytables 3.4.3 py36h02b9ad4_2 pytest 3.5.1 py36_0 pytest-arraydiff 0.2 py36_0 pytest-astropy 0.3.0 py36_0 pytest-doctestplus 0.1.3 py36_0 pytest-openfiles 0.3.0 py36_0 pytest-remotedata 0.2.1 py36_0 python 3.6.5 hc3d631a_2 python-dateutil 2.7.3 py36_0 pytz 2018.4 py36_0 pywavelets 0.5.2 py36he602eb0_0 pyyaml 3.12 py36hafb9ca4_1 pyzmq 17.0.0 py36h14c3975_0 qt 5.9.5 h7e424d6_0 qtawesome 0.4.4 py36h609ed8c_0 qtconsole 4.3.1 py36h8f73b5b_0 qtpy 1.4.1 py36_0 readline 7.0 ha6073c6_4 requests 2.18.4 py36he2e5f8d_1 rope 0.10.7 py36h147e2ec_0 ruamel_yaml 0.15.35 py36h14c3975_1 scikit-image 0.13.1 py36h14c3975_1 scikit-learn 0.19.1 py36h7aa7ec6_0 scipy 1.1.0 py36hfc37229_0 seaborn 0.8.1 py36hfad7ec4_0 send2trash 1.5.0 py36_0 setuptools 39.1.0 py36_0 simplegeneric 0.8.1 py36_2 singledispatch 3.4.0.3 py36h7a266c3_0 sip 4.19.8 py36hf484d3e_0 six 1.11.0 py36h372c433_1 snappy 1.1.7 hbae5bb6_3 snowballstemmer 1.2.1 py36h6febd40_0 sortedcollections 0.6.1 py36_0 sortedcontainers 1.5.10 py36_0 sphinx 1.7.4 py36_0 sphinxcontrib 1.0 py36h6d0f590_1 sphinxcontrib-websupport 1.0.1 py36hb5cb234_1 spyder 3.2.8 py36_0 sqlalchemy 1.2.7 py36h6b74fdf_0 sqlite 3.23.1 he433501_0 statsmodels 0.9.0 py36h3010b51_0 sympy 1.1.1 py36hc6d1c1c_0 tblib 1.3.2 py36h34cf8b6_0 terminado 0.8.1 py36_1 testpath 0.3.1 py36h8cadb63_0 tk 8.6.7 hc745277_3 toolz 0.9.0 py36_0 tornado 5.0.2 py36_0 traitlets 4.3.2 py36h674d592_0 typing 3.6.4 py36_0 unicodecsv 0.14.1 py36ha668878_0 unixodbc 2.3.6 h1bed415_0 urllib3 1.22 py36hbe7ace6_0 wcwidth 0.1.7 py36hdf4376a_0 webencodings 0.5.1 py36h800622e_1 werkzeug 0.14.1 py36_0 wheel 0.31.1 py36_0 widgetsnbextension 3.2.1 py36_0 wrapt 1.10.11 py36h28b7045_0 xlrd 1.1.0 py36h1db9f0c_1 xlsxwriter 1.0.4 py36_0 xlwt 1.3.0 py36h7b00a1f_0 xz 5.2.4 h14c3975_4 yaml 0.1.7 had09818_2 zeromq 4.2.5 h439df22_0 zict 0.1.3 py36h3a3bf81_0 zlib 1.2.11 ha838bed_2

nehaljwani commented 6 years ago

@DanielLenz This is happening because of the anaconda meta package. Try: conda uninstall anaconda and then conda install tensorflow-gpu or just create a new environment with only tensorflow-gpu

DanielLenz commented 6 years ago

That worked, thank you!

nehaljwani commented 6 years ago

xref: https://github.com/ContinuumIO/anaconda-issues/issues/4298

hpeiyan commented 5 years ago

Hi, there. Are you have the plan about TF's upgrading into 1.8 in Mac? Urgently require.

csoja commented 5 years ago

@huangpeiyan Currently, Tensorflow on macOS v 1.9, 1.10 & 1.11 are available in https://repo.anaconda.com/pkgs/main/osx-64/ As there are more recent versions available, we will not be adding an the older v1.8 for MacOS at this time. I'm going to go ahead and close this issue - as tensorflow is up to date in the Anaconda default repositories at this time.

tessavdheiden commented 5 years ago

Hi,

Tensorflow on macOS v 1.9, 1.10 & 1.11 are available, but we need 1.7!

msarahan commented 5 years ago

Sorry, but we can't provide old versions like that for free. The effort required is too great. You can:

update your code to run on the newer versions (this is probably easiest)
Try to build tensorflow yourself. This is very hard and very time consuming. Make sure you have a very powerful machine to build on, as running out of memory on bazel back then meant an infinite loop.
consider having your employer contact sales@anaconda.com for options. Tensorflow builds take many hours for our team to work out. This would be a time & materials kind of thing.

ContinuumIO / anaconda-issues

why not update tensorflow to latest version? #9294

Expected Behavior

Steps to Reproduce

Anaconda or Miniconda version:

Operating System:

`conda info`

`conda list --show-channel-urls`

Name Version Build Channel

Package Plan