install_tensorflow

Installation method. By default, "auto" automatically finds a
method that will work in the local environment. Change the default to force
a specific installation method. Note that the "virtualenv" method is not
available on Windows (as this isn't supported by TensorFlow). Note also
that since this command runs without privillege the "system" method is
available only on Windows.

method

Path to conda executable (or "auto" to find conda using the PATH
and other conventional install locations).

conda

TensorFlow version to install. Specify "default" to install
the CPU version of the latest release. Specify "gpu" to install the GPU
version of the latest release.
You can also provide a full major.minor.patch specification (e.g. "1.1.0"),
appending "-gpu" if you want the GPU version (e.g. "1.1.0-gpu").
Alternatively, you can provide the full URL to an installer binary (e.g.
for a nightly binary).

version

Additional Python packages to install along with
TensorFlow.

extra_packages

Install TensorFlow and it's dependencies

Interface to 'TensorFlow' <https://www.tensorflow.org/>,
an open source software library for numerical computation using data
flow graphs. Nodes in the graph represent mathematical operations,
while the graph edges represent the multidimensional data arrays
(tensors) communicated between them. The flexible architecture allows
you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop,
server, or mobile device with a single 'API'. 'TensorFlow' was originally
developed by researchers and engineers working on the Google Brain Team
within Google's Machine Intelligence research organization for the
purposes of conducting machine learning and deep neural networks research,
but the system is general enough to be applicable in a wide variety
of other domains as well.

install_tensorflow: Install TensorFlow and it's dependencies

Description

Usage

Arguments