I installed the latest Tensorflow 0.5.0 from source via git clone.
and want to update to Tensorflow 0.6.0
git pull
./configure
bazel build -c opt --config=cuda //tensorflow/cc:tutorials_example_trainer
but the Tensorflow library in the directory /usr/lib/python2.7/site-packages still has the version 0.5.0
the version in the result of "pip show tensorflow" also is 0.5.0
To install the TensorFlow library from source, you need to build a PIP package and install it. The steps are as follows:
$ git pull
$ ./configure
$ bazel build -c opt //tensorflow/tools/pip_package:build_pip_package
# ...or, with GPU support
$ bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package
$ bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
# The name of the .whl file will depend on your platform.
$ pip install /tmp/tensorflow_pkg/tensorflow-0.6.0-cp27-none-linux_x86_64.whl
git pull doesn't work for me since some local files are modified by the last build so with a slight modification I update like this:
git fetch --all
git reset --hard origin/master
./configure
bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
sudo pip install /tmp/tensorflow_pkg/tensorflow-0.8.0-py2-none-any.whl
Tested to work as of today. The Installation from Source instructions in tensorflow docs are misleading in the sense they only include the real pip wheel installation commands for Mac and the example-trainer build command exists instead in Linux instructions.
To show the version:
python -c "import tensorflow; print(tensorflow.__version__);"
And if it is not the latest, you have uninstall it via pip uninstall:
sudo pip uninstall tensorflow
and subsequently install it:
export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl
sudo pip install $TF_BINARY_URL
Before trying to update tensorflow try updating pip
pip install --upgrade pip
If you are upgrading from a previous installation of TensorFlow < 0.7.1, you should uninstall the previous TensorFlow and protobuf using,
pip uninstall
first to make sure you get a clean installation of the updated protobuf dependency.
Uninstall the TensorFlow on your system, and check out Download and Setup to reinstall again.
If you are using pip install, go check the available version over https://storage.googleapis.com/tensorflow, search keywords with linux/cpu/tensorflow to see the availabilities.
Then, set the path for download and execute in sudo.
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0-py2-none-any.whl
$ sudo pip install --upgrade $TF_BINARY_URL
For more detail, follow this link in here
If you get the error saying not a supported wheel on this platform. You might be updating tensorflow for python3. For that you will need pip3
Try installing pip3
sudo apt-get -y install python3-pip
Then, set the path for download if you haven't already set the path
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0rc0-cp35-cp35m-linux_x86_64.whl
$ pip3 install --ignore-installed --upgrade $TF_BINARY_URL
updating tensorflow install with sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.1-cp27-none-linux_x86_64.whl.
I find it in the below issue,mohamed-ali's comment. https://github.com/tensorflow/tensorflow/issues/1105
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 want to try out the develop branch of spaCy in order to test the features of v3. I built it successfully, but get the following message when trying to download a model:
'No compatible models found for v3.0.0 of spaCy'
What can I do? How are contributors supposed to get models for a non-released version?
This is the Dockerfile I used:
FROM python:3.8
RUN apt-get update && apt-get install -y \
git \
make \
&& rm -rf /var/lib/apt/lists/*
RUN pip install --upgrade pip
RUN git clone https://github.com/explosion/spaCy /spaCy
WORKDIR /spaCy
RUN git checkout develop
ENV PYTHONPATH=.
RUN pip install -r requirements.txt
RUN python setup.py build_ext --inplace
RUN python setup.py install
RUN python -m spacy download en_core_web_sm
I want to have access to features from TensorFlow federated (tff.python.research) which aren't present with the pip3 install method.
I'm working on a remote server that does not have bazel, thus I cannot build from source. Are there other ways to get and install the latest working version of TFF from its GitHub REPO?
(https://github.com/tensorflow/federated)
To install the latest Tensorflow 2.0 federated, you may follow the steps below.
Install TensorFlow Federated using pip
Install the Python development environment
On Ubuntu:
$ sudo apt update
$ sudo apt install python3-dev python3-pip # Python 3
$ sudo pip3 install --upgrade virtualenv # system-wide install
On macOS:
$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
$ export PATH="/usr/local/bin:/usr/local/sbin:$PATH"
$ brew update
$ brew install python # Python 3
$ sudo pip3 install --upgrade virtualenv # system-wide install
Create a virtual environment
$ virtualenv --python python3 "venv"
$ source "venv/bin/activate"
(venv) $ pip install --upgrade pip
Note: To exit the virtual environment, run deactivate.
Install the TensorFlow Federated pip package.
(venv) $ pip install --upgrade tensorflow_federated
(Optional) Test Tensorflow Federated.
(venv) $ python -c "import tensorflow_federated as tff; print(tff.federated_computation(lambda: 'Hello World')())"
Build the TensorFlow Federated pip package
Install the Python development environment.
On Ubuntu:
$ sudo apt update
$ sudo apt install python3-dev python3-pip # Python 3
$ sudo pip3 install --upgrade virtualenv # system-wide install
On macOS:
$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
$ export PATH="/usr/local/bin:/usr/local/sbin:$PATH"
$ brew update
$ brew install python # Python 3
$ sudo pip3 install --upgrade virtualenv # system-wide install
Install Bazel
Install Bazel, the build tool used to compile Tensorflow Federated.
Clone the Tensorflow Federated repository.
$ git clone https://github.com/tensorflow/federated.git
$ cd "federated"
Create a virtual environment.
$ virtualenv --python python3 "venv"
$ source "venv/bin/activate"
(venv) $ pip install --upgrade pip
Note: To exit the virtual environment, run deactivate.
Install Tensorflow Federated dependencies.
(venv) $ pip install --requirement "requirements.txt"
(Optional) Test Tensorflow Federated.
(venv) $ bazel test //tensorflow_federated/...
Create a new project.
$ mkdir "/tmp/project"
$ cd "/tmp/project"
$ virtualenv --python python3 "venv"
$ source "venv/bin/activate"
(venv) $ pip install --upgrade pip
Note: To exit the virtual environment run deactivate.
Install the pip package.
(venv) $ pip install --upgrade "/tmp/tensorflow_federated/tensorflow_federated-"*".whl"
Test Tensorflow Federated.
(venv) $ python -c "import tensorflow_federated as tff; print(tff.federated_computation(lambda: 'Hello World')())"
Reference: https://www.tensorflow.org/federated/install
screen shot
As Python2.7 will be deprecated on 01/01/2020. I was planning to start using python3. So, I tried to install the tensorflow==1.14.0 on the raspberry pi and it was successful, but when I am loading the Tensorflow for further operations then it throws a load error.
Python - 3.7 (Default installed by Raspbian OS)
Any suggestions why am I facing this issue?
Thanks for your time
You can't install later versions of Tensorflow on the Raspberry Pi using pip. You have to install from source. I made a video doing this: https://youtu.be/GNRg2P8Vqqs
Installing Tensorflow requires some extra steps on the Pi's ARM architecture.
This is how I installed tf 2.0 on my Pi 4:
Make your project directory:
cd Desktop
mkdir tf_pi
cd tf_pi
Make a virtual environment:
python3 -m pip install virtualenv
virtualenv env
source env/bin/activate
Run the commands based on https://github.com/PINTO0309/Tensorflow-bin/#usage:
sudo apt-get install -y libhdf5-dev libc-ares-dev libeigen3-dev
python3 -m pip install keras_applications==1.0.8 --no-deps
python3 -m pip install keras_preprocessing==1.1.0 --no-deps
python3 -m pip install h5py==2.9.0
sudo apt-get install -y openmpi-bin libopenmpi-dev
sudo apt-get install -y libatlas-base-dev
python3 -m pip install -U six wheel mock
Pick a tensorflow release from https://github.com/lhelontra/tensorflow-on-arm/releases (I picked 2.0.0). Picking a higher version of Tensorflow (like 2.1.0) requires a higher version of scipy that wasn't compatible with my Raspberry Pi:
wget https://github.com/lhelontra/tensorflow-on-arm/releases/download/v2.0.0/tensorflow-2.0.0-cp37-none-linux_armv7l.whl
python3 -m pip uninstall tensorflow
python3 -m pip install tensorflow-2.0.0-cp37-none-linux_armv7l.whl
RESTART YOUR TERMINAL
Reactivate your virtual environment:
cd Desktop
cd tf_pi
source env/bin/activate
Test:
Open a python interpreter by executing:
python3
import tensorflow
tensor.__version__
This should have no errors and output: 2.0.0
I got the same issue today when trying to run the fresh tf installation on my pi 3+
After following the steps from my previously asked question Can I implement deep learning models in my laptop with intel hd graphics
I am getting a permission denied error while installing tensorflow
What can I do to install tensorflow and keras without getting this error?
pip3 is trying to access /usr/bin/ for which you need superuser rights. Try
sudo pip3 install --upgrade ...
It appears that TensorFlow depends on a newer version of the setuptools package than you have installed. As Maximilian points out, pip needs root access to upgrade setuptools and install TensorFlow and Keras in your machine's Python distribution. You can either use sudo as he suggests, or it may be safer to install TensorFlow into a Virtualenv. For example, to create a Virtualenv in the directory ~/tensorflow, execute the following commands:
$ sudo pip install virtualenv
$ virtualenv --system-site-packages ~/tensorflow
$ cd ~/tensorflow
$ source bin/activate
$ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.0-cp27-none-linux_x86_64.whl