I'm trying to install the GPU version of Tensorflow using Virtualenv on Ubuntu 16.04 and Python 3.6 (Anaconda), but it keeps on outputting these errors
tensorflow-gpu 1.7.0 requires numpy>=1.13.3, which is not installed.
tensorflow-gpu 1.7.0 requires six>=1.10.0, which is not installed.
tensorboard 1.7.0 requires numpy>=1.12.0, which is not installed.
tensorboard 1.7.0 requires six>=1.10.0, which is not installed.
tensorboard 1.7.0 requires werkzeug>=0.11.10, which is not installed.
protobuf 3.5.2.post1 requires six>=1.9, which is not installed.
html5lib 0.9999999 requires six, which is not installed.
grpcio 1.10.0 requires six>=1.5.2, which is not installed.
bleach 1.5.0 requires six, which is not installed.
absl-py 0.1.13 requires six, which is not installed.
I've tried installing both numpy and six using sudo pip install numpy six both in the virtualenv and out of it, but the error is still present. Any ideas on how to fix this?
You are using the conda and virtualenv simultaneously which is usually a bad idea. If you installed Python from anaconda use their environment tool.
conda create -n tensorflow pip python=3.6
source activate tensorflow
pip install --ignore-installed --upgrade\
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.6.0-cp36-cp36m-linux_x86_64.whl
Additionally, have a look at how to install tensorflow with anaconda.
Related
when I use pip install tensorflow command that error appear :-
'''
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tf-nightly 2.6.0.dev20210601 requires gast==0.4.0, but you have gast 0.3.3 which is incompatible.
tf-nightly 2.6.0.dev20210601 requires h5py~=3.1.0, but you have h5py 2.10.0 which is incompatible.
tf-nightly 2.6.0.dev20210601 requires numpy~=1.19.2, but you have numpy 1.18.5 which is incompatible.'''
Looks like you are trying to install Tensorflow and tf-nightly on the same environment. Since Tensorflow and tf-nightly uses same code, you should never install both in same environment. Latest version overrides the most of the packages, thats how pip works. It recommended to use virtual environment each tensorflow version.
Tf-nightly require gast==0.4.0 and numpy==1.19.2.
Follow the below steps
python -m tf_nightly --system-site-packages .\venv
.\venv\Scripts\activate
pip install --upgrade pip
pip install tf-nightly
I just updated the latest MacOS and it wiped everything out.
I follow the steps from this website.
And I start reinstalling the tensorflow with pip3 and it's not installing anything.
I got this error from typing pip3 install --user --upgrade tensorflow .
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
FYI, my MacBook is 64-bit.
and
~ pip3 -V
WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.
Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.
To avoid this problem you can invoke Python with '-m pip' instead of running pip directly.
pip 20.2.4 from /Users/zack/Library/Python/3.8/lib/python/site-packages/pip (python 3.8)
~ python3 -V
Python 3.8.2
I don't know what happened does anyone have any ideas.
According to this documentation https://www.tensorflow.org/install/pip#package-location
and your version of python you should run
python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-2.3.0-cp38-cp38-macosx_10_14_x86_64.whl
This is the 3rd step, so check if you got installed correctly the packages from steps 1 and 2
if pip is not up-to-date upgrade pip:
pip install --upgrade pip
then install tensorflow:
pip install tensorflow
for python 3.8 you need to install tensorflow 2.2 or later
system requirements of tensorflow:
Python 3.5–3.8
Python 3.8 support requires TensorFlow 2.2 or later.
pip 19.0 or later (requires manylinux2010 support)
Ubuntu 16.04 or later (64-bit)
macOS 10.12.6 (Sierra) or later (64-bit) (no GPU support)
I am using ubuntu 20.04 with python 3.6.5 Anaconda. Previously, I have installed Tensorflow 2.0.0a0 and it was showing in both "pip list" and "conda list" but Now I want to install version 2.2.0 because I am unable to import "stellargraph" as it requires 2.1.x or higher version But when I uninstalled 2.0.0a0 completely and installing Tensorflow 2.2.0 previously, it was not showing in pip list or conda list and so, again when I am trying to install it on terminal using :
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow_cpu-2.2.0-cp36-cp36m-manylinux2010_x86_64.whl
as mentioned here, I am getting this output on terminal.
But it is not installed as I can't see it in pip list and site-packages folder.
pip list
Can anyone please help me ?
I'm going over these example from google-cloud Coursera courses, and although they worked till a few weeks ago, I can't install tf.transform or apache_beam on Datalab anymore.
https://github.com/GoogleCloudPlatform/training-data-analyst/blob/master/courses/machine_learning/feateng/tftransform.ipynb
https://github.com/GoogleCloudPlatform/training-data-analyst/blob/master/courses/machine_learning/deepdive/06_structured/4_preproc_tft.ipynb
When installing tensorflow_transform I get the following errors:
%bash
pip install --upgrade --force tensorflow_transform==0.6.0
twisted 18.7.0 requires PyHamcrest>=1.9.0, which is not installed.
datalab 1.1.3 has requirement six==1.10.0, but you'll have six 1.11.0 which is incompatible.
gapic-google-cloud-pubsub-v1 0.15.4 has requirement oauth2client<4.0dev,>=2.0.0, but you'll have oauth2client 4.1.2 which is incompatible.
proto-google-cloud-pubsub-v1 0.15.4 has requirement oauth2client<4.0dev,>=2.0.0, but you'll have oauth2client 4.1.2 which is incompatible.
apache-airflow 1.9.0 has requirement bleach==2.1.2, but you'll have bleach 1.5.0 which is incompatible.
apache-airflow 1.9.0 has requirement funcsigs==1.0.0, but you'll have funcsigs 1.0.2 which is incompatible.
google-cloud-monitoring 0.28.0 has requirement google-cloud-core<0.29dev,>=0.28.0, but you'll have google-cloud-core 0.25.0 which is incompatible.
proto-google-cloud-datastore-v1 0.90.4 has requirement oauth2client<4.0dev,>=2.0.0, but you'll have oauth2client 4.1.2 which is incompatible.
pandas-gbq 0.3.0 has requirement google-cloud-bigquery>=0.28.0, but you'll have google-cloud-bigquery 0.25.0 which is incompatible.
googledatastore 7.0.1 has requirement httplib2<0.10,>=0.9.1, but you'll have httplib2 0.11.3 which is incompatible.
googledatastore 7.0.1 has requirement oauth2client<4.0.0,>=2.0.1, but you'll have oauth2client 4.1.2 which is incompatible.
Cannot uninstall 'dill'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.
The tensorflow version on my Datalab instance was 1.4.
I had to add this one line of code to update tensorflow to 1.10.1
%bash
pip install --upgrade --force-reinstall pip==10.0.1
pip install tensorflow==1.10.1
pip install tensorflow_transform
my environment:
apache-airflow==1.9.0
apache-beam==2.6.0
tensorflow==1.10.1
tensorflow-metadata==0.9.0
tensorflow-tensorboard==0.4.0rc3
tensorflow-transform==0.8.0
The current version of Datalab uses TensorFlow 1.8, so please change the notebook cell in question to:
%bash
pip uninstall -y google-cloud-dataflow
pip install --upgrade --force tensorflow_transform==0.8.0 apache-beam[gcp]
I've updated and checked in the two notebooks linked above.
Another problem might be that you are using Python 2. Datalab by default now uses Python 3 and your pip install (above) happens in Python 3 even if the kernel is Python 2 because %%bash opens up a new shell in which the conda activate of Python 2 has not happened.
To make sure the pip install happens in Python 2, change your pip install of apache-beam[gcp] as follows:
%%bash
source activate py2env
conda install -y dill pytz # do this for all the distutils complaints
pip uninstall -y google-cloud-dataflow
pip install --upgrade --force tensorflow_transform==0.8.0 apache-beam[gcp]
When I run :
pip install --upgrade tensorflow
This message pops up:
could not find the version that satisfies the requirement tensorflow
what should I do?
This is probably happening because you are using a pip version below 8.3.
In that case, you can install tensorflow using
For CPU version - pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.7.0-cp27-none-linux_x86_64.whl
For GPU version - pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.7.0-cp27-none-linux_x86_64.whl
These binaries are for version 1.7 and Python 2.7. You can get the latest wheel URLs from the official installation guide.
This worked for me
conda install pip
python -m pip install --upgrade pip
pip install --ignore-installed --upgrade tensorflow
This is what worked for me on Windows 10. Currently, Tensorflow only works with 64-bit windows, not 32-bit. So, you could create a new 64-bit environment and install tensorflow in it:
set CONDA_FORCE_32BIT=
conda create --name name_of_your_created_environment python=3.5
activate name_of_your_created_environment
conda install -c conda-forge tensorflow
Note:
CONDA_FORCE_32BIT=1 sets to a 32-bit environment whilst CONDA_FORCE_32BIT= sets to a 64-bit environment.