| commit | ab34d55ce7618e52069a2e1c9e51aac5a1ea81c3 | [log] [tgz] |
|---|---|---|
| author | Vijay Vasudevan <vrv@google.com> | Wed Nov 18 10:47:35 2015 -0800 |
| committer | Vijay Vasudevan <vrv@google.com> | Wed Nov 18 10:47:35 2015 -0800 |
| tree | 9c79427b45ff6501e8374ceb7b4fc3bdb2828e15 | |
| parent | 9eb88d56ab6a9a361662d73a258593d8fbf10b62 [diff] |
TensorFlow: more features, performance improvements, and doc fixes. Changes: - Add Split/Concat() methods to TensorUtil (meant for convenience, not speed) by Chris. - Changes to linear algebra ops interface by Rasmus - Tests for tensorboard by Daniel - Fix bug in histogram calculation by Cassandra - Added tool for backwards compatibility of OpDefs. Tool Checks in history of opdefs and their changes, checks for backwards-incompatible changes. All done by @josh11b - Fix some protobuf example proto docs by Oliver - Add derivative of MatrixDeterminant by @yaroslavvb - Add a priority queue queue by @ebrevdo - Doc and typo fixes by Aurelien and @dave-andersen - Speed improvements to ConvBackwardFilter by @andydavis - Improve speed of Alexnet on TitanX by @zheng-xq - Add some host memory annotations to some GPU kernels by Yuan. - Add support for doubles in histogram summary by @jmchen-g Base CL: 108158338
#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.
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.
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.
# For CPU-only version $ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
# Only CPU-version is available at the moment. $ pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
$ 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