I have been trying to update tensorflow from 1.2.1 to 1.3.
I did the following on my terminal:
pip3 install tensorflow --upgrade
After this, I tried checking the version
python3 -c 'import tensorflow as tf; print(tf.__version__)'
This outputs 1.2.1 but not 1.3.0
All this had been done in an anaconda environment.
Operating system: macOS Sierra
I would like to know how one can perform this update.
Thank you
The solution that I found was to install pip inside the conda environment and use that instance of pip to install the packages. Please refer here
The reason I got the above error was that the python3 and pip3 paths were different.
This became evident when I ran the below commands inside the conda environment.
which python3
/Users/SMBP/anaconda/envs/tensorflow/bin/python3
which pip3
/usr/local/bin/pip3
Also, I think it is better to use virtualenv and virtualenvwrapper if you wish to work with tensorflow as it is the recommended way.
Related
I am working on a jupyter notebook script which I used last year to train a neural network.
When I try to import the keras tokenizer:
from keras.preprocessing.text import Tokenizer
I receive this error
I have seen other posts which suggest that I need to update tensorflow. My anaconda environment tells me I have 1.13.1 installed. But when I try to update tensorflow-base to 1.15 in the anaconda navigator, I receive this error:
I can update tensorflow from my command line using:
conda install tensorflow=1.15.0
But this doesn't update tensorflow in my anaconda environment and the error persists in my notebook.
Any help would be much appreciated! As you can probably tell, I am a novice python user.
The error says some packages needed to update Tensorflow/Andaconda requires Python 3.11 or newer. Since not all of the error log can be seen however, I would upgrade to python 3.7 to be safe. You can download this from the official page: https://www.python.org/downloads/
If the problem persists, try using pip to update the packages(In bash) :
pip install tensorflow
pip install conda
If you get an error while using pip, try:
pip3 install tensorflow
pip3 install conda
This same method can be used to update keras:
pip install keras
or if that does not work:
pip3 install keras
If pip is not recognized at a command, Python 3.7 is not added to path. I do not have experience with macOS, but this article should go into enough depth.
https://realpython.com/add-python-to-path/#how-to-add-python-to-path-on-linux-and-macos
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 trying to install Tensorflow and Horovod
pip install tensorflow
HOROVOD_WITH_TENSORFLOW=1 pip install horovod
Then I ran a sample code
import tensorflow as tf
import horovod.tensorflow as hvd
When I run this code, I get the error
ImportError: Extension horovod.tensorflow has not been built. If this is not expected, reinstall Horovod with HOROVOD_WITH_TENSORFLOW=1 to debug the build error.
If you need to install tensorflow and horovod , you can use the following steps:
1)Create a conda environment to avoid the mismatch of package versions.
conda create -n test_hvd -c intel python=3.6
2)Activate the environment
source activate test_hvd
(You can use any name instead of test_hvd, which is an environment name.)
3)Install tensorflow in the activated environment:
pip install https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl
4)Finally install horovod
pip install --no-cache-dir horovod
Note: 1. Kindly confirm if you are using the latest versions of GCC (gcc (GCC) 6.4.0 works fine).
These steps are tested on Linux OS
Hope this helps!
I have been using anaconda environment. Now that I have installed tensorflow in my windows through the command prompt and following the necessary steps. I am not able to use tensorflow in anaconda platform. Please help. Thank you.
Create a conda environment named tensorflow by invoking the following command:
C:> conda create -n tensorflow pip python=3.5
Activate the conda environment by issuing the following command:
C:> activate tensorflow
Issue the appropriate command to install TensorFlow inside your conda environment. To install the CPU-only version of TensorFlow, enter the following command:
(tensorflow)C:> pip install --ignore-installed --upgrade tensorflow
To install the GPU version of TensorFlow, enter the following command (on a single line):
(tensorflow)C:> pip install --ignore-installed --upgrade tensorflow-gpu
You can read further by visiting here
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.