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)
Related
Since I'm moving away from pandas DataFrames to TensorFlow datasets, I'd like to use tensorflow-data-validation instead of the more traditional pandas-profiling when it comes to data exploration and validation.
However, pip install tensorflow-data-validation gives the following error:
ERROR: Could not find a version that satisfies the requirement tensorflow-data-validation (from versions: none)
ERROR: No matching distribution found for tensorflow-data-validation
What could be the problem? This old GitHub issue explains how this could be due to the Python version, but Apache Beam (on which tensorflow-data-validation presumably relies) is now fully compatible with Python 3, so it must be something else.
My environment is as follows:
Python 3.9.2
TensorFlow 2.6.0
Debian GNU/Linux 11 (bullseye)
pip 21.3
I got the same error when using Python 3.9. After downgrading to Python 3.8, pip install tensorflow-data-validation ran successfully.
Regarding your comment about Apache Beam, it looks like the Python SDK currently supports Python 3.8 (and earlier) but not yet Python 3.9.
My environment:
Python 3.8.10
TensorFlow 2.8.0
macOS Monterey (12.0.1)
pip 21.1.1
Try this
pip install --upgrade --force-reinstall tensorflow-data-validation[all]
It might be a version compatibility issue with tensorflow==2.6.0.
Try
pip install tensorflow-data-validation==1.3.0
I was able to install the tensorflow_data_validation library successfully, via the below command in my Google Colab file.
!pip install -U tensorflow \
tensorflow-data-validation \
apache-beam[gcp]
I would like to test some function in the new tensorflow2.3 However, I am struggling with installation process.
I saw: How do I install the most recent Tensorflow (here: 2.2) on Windows when conda does not yet support it?
I executed: pip install --upgrade pip
I got:
ERROR: Could not find a version that satisfies the requirement tensorflow-cpu==2.3.0rc2 (from versions: 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0)
ERROR: No matching distribution found for tensorflow-cpu==2.3.0rc2
please make sure pip is pointing to pip3 because tensorflow requires python3
pip --version
pip3 install --upgrade tensorflow
I just ran into the same issue, but had to downgrade python from 3.9 to 3.8.
Python 3.8 is the latest version that supports tensorflow 2.3.0
For some cases, you need to upgrade your pip version
pip install --upgrade pip
then install tensorflow 2.3.0 version
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 ?
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.
I installed pip via get-pip.py script
$ python get-pip.py --proxy="proxy.intranet.com:8080"
Collecting pip
Downloading pip-8.1.2-py2.py3-none-any.whl (1.2MB)
100% |████████████████████████████████| 1.2MB 559kB/s
Collecting wheel
Downloading wheel-0.29.0-py2.py3-none-any.whl (66kB)
100% |████████████████████████████████| 71kB 2.9MB/s
Installing collected packages: pip, wheel
Successfully installed pip-8.1.2 wheel-0.29.0
it worked fine. On upgrade, it seemed to be the latest version.
$ python -m pip install -U pip
Requirement already up-to-date: pip in /usr/lib/python2.7/site-packages
now, when I try to install tensorflow on windows using the below command, it doesn't work.
$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
**tensorflow-0.5.0-cp27-none-linux_x86_64.whl is not a supported wheel on this platform**.
I tried to search a wheel file for windows, but couldn't find it. Anyone knows the locations to the whl file? Thanks in advance!
TensorFlow is only compatible with 64bit. Ensure that the Python installation is not 32bit.
TensorFlow is now available on Windows, from version 0.12 onwards. You can install the PIP package from PyPI, using the following command (for the CPU-only build):
C:\> pip install tensorflow
...or the following command if you have a CUDA 8.0-compatible GPU:
C:\> pip install tensorflow-gpu