Hello I want to pip install pymc3 in tensorflow version 3.5 on windows
but it is not worked.
pip install git+https://github.com/pymc-devs/pymc3
tensorflow-tensorboard 1.5.0 has requirement bleach==1.5.0, but you'll have bleach 2.1.2 which is incompatible.
tensorflow-tensorboard 1.5.0 has requirement html5lib==0.9999999, but you'll have html5lib 1.0.1 which is incompatible
please help me :(
It is clear from the error that there is a mismatch of the package versions. You have several options from here.
If you haven't installed tensorboard already, install tensorboard and see if the error is resolved: pip install tensorboard
If you have installed tensorboard already, uninstall tensorboard with: pip uninstall tensorboard and specify the version of tensorboard you want to install: pip install tensorboard=1.5.1. Refer to here for more details
As suggested by your screenshot, it is evident that the package tensorflow-tensorboard is not compatible with the latest version of bleach package. These are interdependent packages.
An easy solution, as suggested by your command prompt is to use an older version of bleach package.
I tested the following command, which worked for me for installing bleach 1.5.0.pip install -I bleach==1.5.0
I am using pip version = 10.0.1.To check your current pip version, run the following command: pip --version
After you're done with the installation, you can check the version of all your installed packages usingpip freeze
For more information about this compatibility issue, refer this TensorFlow Article on GitHub.
You can do the same for html5lib as well, by following the exact steps above and changing the parameter.
Hope it works!
Tensorflow-tensorboard is not compatible with the latest version of bleach package.
You have to install the following packages by
$ pip install numpy==1.13.0 --user
You install the other with same
Check the version of pip:
$ pip --version
Update pip: $pip install --upgrade pip
Related
When I try to install Tensor Flow 1.4.0 via pip install
pip install tensorflow==1.4.0
I get error:
ERROR: Could not find a version that satisfies the requirement tensorflow==1.4.0 (from
versions: 2.5.0rc0, 2.5.0rc1, 2.5.0rc2, 2.5.0rc3, 2.5.0, 2.6.0rc0)
ERROR: No matching distribution found for tensorflow==1.4.0
How can I install Tensor Flow version 1.4.0 on my mac?
EDIT: SOLUTION:
run this:
python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.12.0-py3-none-any.whl
You can read here. Tensorflow 1.4.0 only support python<=3.6. You should uninstall python and pip after reinstall according to the required version
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 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 have a venv with the following details:
python 3.6
TensorFlow 2.0.0
I tried to install tensorflow-addons using the following:
pip install -q --no-deps tensorflow-addons~=0.6
But then I keep receiving the following error:
Could not find a version that satisfies the requirement tensorflow-addons~=0.6 (from versions: )
No matching distribution found for tensorflow-addons~=0.6
You are using pip version 18.0, however version 19.3.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
I also tried other versions of tensorflow-addons, e. g., 0.4.0, 0.5.0, ..., but it did not work out.
I came across this problem two times and each time I had to solve the problem with a different solution.
1. Solution:
Upgrade pip/pip3 by using the following command.
python3 -m pip install --upgrade pip
Select appropriate version of the tensorflow-addons using the
following link
https://github.com/tensorflow/addons#python-op-compatibility-matrix
Install using the following command
pip install tensorflow-addons==version
2. Solution:
go to https://pypi.org/project/tensorflow-addons/#history
click on appropriate version
click on "Download files" on menu to the left
click on a .whl file that matches your system
requirements/specifications
go to the directory where you download the .whl file and run the
following
pip install tensorflow_addons-name.whl
The problem appears to have been related to installing on Windows platforms in the earlier versions of tensorflow-addons. As of time of updating this comment this issue should disappear completely.
In fact the developers state it has been solved, as it is shown here:
FYI stable release for windows is out. pip install tensorflow-addons
https://github.com/tensorflow/addons/issues/173#issuecomment-573106184
At your command prompt, simply specify the version you want to install.
For me, my python version is 3.7.4 and Tensorflow version is 2.2.0
Therefore, the tensorflow-addons version that matches my python and tensorflow version is 0.10.0
pip install tensorflow-addons==0.10.0
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]