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
Related
I have been trying to install TensorFlow on my Macbook Air with a M1 chip.
Using Python 3.9.7.
Originally was on MacOS 11, but subsequently upgraded to 12.01
At first, I tried these instructions [https://towardsdatascience.com/installing-tensorflow-on-the-m1-mac-410bb36b776] but got stuck when trying to execute
pip3 install --upgrade --force --no-dependencies https://github.com/apple/tensorflow_macos/releases/download/v0.1alpha3/tensorflow_addons_macos-0.1a3-cp38-cp38-macosx_11_0_arm64.whl https://github.com/apple/tensorflow_macos/releases/download/v0.1alpha3/tensorflow_macos-0.1a3-cp38-cp38-macosx_11_0_arm64.whl
ERROR: tensorflow_addons_macos-0.1a3-cp38-cp38-macosx_11_0_arm64.whl is not a supported wheel on this platform.
So I tried to follow these instructions [https://www.tensorflow.org/install/source#macos_1] to compile TensorFlow, but when I try
bazel build //tensorflow/tools/pip_package:build_pip_package
I get these errors:
ERROR: /Users/scottbrown/tensorflow/tensorflow/lite/python/BUILD:62:10: Target '//tensorflow/lite/python:tflite_convert' depends on toolchain '#local_config_cc//:cc-compiler-darwin', which cannot be found: error loading package '#local_config_cc//': cannot load '#local_config_cc_toolchains//:osx_archs.bzl': no such file'
ERROR: Analysis of target '//tensorflow/tools/pip_package:build_pip_package' failed; build aborted: Analysis failed
When I try
pip3 install tensorflow-macos
I get this error:
Building wheel for h5py (pyproject.toml) ... error
ERROR: Command errored out with exit status 1:
command: /opt/homebrew/opt/python#3.9/bin/python3.9 /opt/homebrew/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py build_wheel /var/folders/gz/28jpdfcd3b3g4pm7zl0wmrkh0000gn/T/tmpz_m057zj
cwd: /private/var/folders/gz/28jpdfcd3b3g4pm7zl0wmrkh0000gn/T/pip-install-kz29fkw2/h5py_0747e63c821445b6944ecb4fc6b2d1e1
I'm basing my answer on the article from Prabhat Kumar Sahu:
How to install Tensorflow on M1 Mac the easy way
Set up environment
Make sure you have homebrew, xcode, and miniforge installed.
create a virtual environment
conda create --name mlp python=3.8
activate environment
conda activate mlp
Install tensorflow for mac-os
(sets up the wheel files etc.)
conda install -c apple tensorflow-deps
pip install tensorflow-macos
pip install tensorflow-metal
That's it. You should have the environment all ready to go. Look at Prabhat's article for a sample Jupyter Notebook test for an example of how to benchmark/test your environment.
Hey guys I had the same issue but I fixed it with the following instructions :
NOTE: If using conda environment built against pre-macOS 11 SDK use:
SYSTEM_VERSION_COMPAT=0 python -m pip install tensorflow-macos
otherwise, you will get errors like: “not a supported wheel on this platform”
STEPS :
OS Requirements macOS 12.0+ (latest beta)
Currently Not Supported
Multi-GPU support
Acceleration for Intel GPUs
V1 TensorFlow Networks
Installation Instructions
Step 1: Environment setup
CPU TYPE x86: AMD
Create virtual environment (recommended):
python3 -m venv ~/tensorflow-metal
source ~/tensorflow-metal/bin/activate
python -m pip install -U pip
NOTE: python version 3.8 required
CPU TYPE : arm64 : Apple Silicon
Download and install Conda env:
chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh
sh ~/Downloads/Miniforge3-MacOSX-arm64.sh
source ~/miniforge3/bin/activate
OR
conda env create --file=environment.yml --name tf_m1
and then activate tf_m1
Install the TensorFlow dependencies:
conda install -c apple tensorflow-deps
When upgrading to new base TensorFlow version, we recommend:
uninstall existing tensorflow-macos and tensorflow-metal
python -m pip uninstall tensorflow-macos
python -m pip uninstall tensorflow-metal
Upgrade tensorflow-deps
conda install -c apple tensorflow-deps --force-reinstall
or point to specific conda environment
conda install -c apple tensorflow-deps --force-reinstall -n my_env
tensorflow-deps versions are following base TensorFlow versions so:
For v2.5:
conda install -c apple tensorflow-deps==2.5.0
For v2.6:
conda install -c apple tensorflow-deps==2.6.0
NOTE: Python versions 3.8 and 3.9 supported
Step 2: Install base TensorFlow
python -m pip install tensorflow-macos
NOTE: If using conda environment built against pre-macOS 11 SDK use:
SYSTEM_VERSION_COMPAT=0 python -m pip install tensorflow-macos
otherwise you will get errors like: “not a supported wheel on this
platform
Step 3: Install tensorflow-metal plugin
python -m pip install tensorflow-metal
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
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
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.