Gitiles
Code Review Sign In
gerrit-public.fairphone.software / platform / external / tensorflow / 9eb88d56ab6a9a361662d73a258593d8fbf10b62
commit9eb88d56ab6a9a361662d73a258593d8fbf10b62[log] [tgz]
authorVijay Vasudevan <vrv@google.com>Tue Nov 17 00:43:54 2015 -0800
committerVijay Vasudevan <vrv@google.com>Tue Nov 17 00:47:00 2015 -0800
treeb75b2fe8858068929e1bf0365f70cb14b80926ef
parent4213ac97be449d0e40631a314d2b7bd3901d4967 [diff]
TensorFlow: remove googlenet modelfile from repo.
It is 50MiB, which doesn't belong in git.

It turns out there is a second copy of this graph in the android assets
already too.  That explains why the repo is so large.

(Since we have not accepted external commits yet, we may
 consider rewriting the history to purge these files if
 the size of the repo is a concern).

Base CL: 108016510
tree: b75b2fe8858068929e1bf0365f70cb14b80926ef
  1. google/
  2. tensorflow/
  3. third_party/
  4. tools/
  5. .gitmodules
  6. ACKNOWLEDGMENTS
  7. AUTHORS
  8. bower.BUILD
  9. configure
  10. CONTRIBUTING.md
  11. gmock.BUILD
  12. jpeg.BUILD
  13. LICENSE
  14. navbar.md
  15. png.BUILD
  16. README.md
  17. six.BUILD
  18. WORKSPACE
README.md

#TensorFlow

TensorFlow is 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) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. 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. The system is general enough to be applicable in a wide variety of other domains, as well.

Note: Currently we do not accept pull requests on github -- see CONTRIBUTING.md for information on how to contribute code changes to TensorFlow through tensorflow.googlesource.com

We use github issues for tracking requests and bugs, but please see Community for general questions and discussion.

Download and Setup

To install the CPU version of TensorFlow using a binary package, see the instructions below. For more detailed installation instructions, including installing from source, GPU-enabled support, etc., see here.

Binary Installation

The TensorFlow Python API currently requires Python 2.7: we are working on adding support for Python 3.

The simplest way to install TensorFlow is using pip for both Linux and Mac.

For the GPU-enabled version, or if you encounter installation errors, or for more detailed installation instructions, see here.

Ubuntu/Linux 64-bit

# For CPU-only version
$ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl

Mac OS X

# Only CPU-version is available at the moment.
$ pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl

Try your first TensorFlow program

$ python

>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print sess.run(hello)
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print sess.run(a+b)
42
>>>

##For more information