tag | 6881637f9a8b3d100c358fc1b85dd3d887590411 | |
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tagger | The Android Open Source Project <initial-contribution@android.com> | Thu Jan 25 14:27:31 2018 -0800 |
object | 567e3d15b6e2240c85092d22a8e512b181f5ef6f |
Android Wear 8.0.0 Release 1
commit | 567e3d15b6e2240c85092d22a8e512b181f5ef6f | [log] [tgz] |
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author | Miao Wang <miaowang@google.com> | Tue Jan 23 07:26:35 2018 -0800 |
committer | Miao Wang <miaowang@google.com> | Wed Jan 24 00:56:39 2018 -0800 |
tree | c453261f8e8aad21489e478215641b1374f6e6e0 | |
parent | 3ee388a53df968e01d82a367f054ecc6303284a3 [diff] | |
parent | 7548989ac93381aee278b675d67d7e530bb3ca42 [diff] |
Merge remote-tracking branch 'aosp/upstream-master' into update_tflite Test: mm Change-Id: I58eaf3dd1178e750fef213a8a25ebe1384a4b358
Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android |
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TensorFlow is an open source software library for numerical computation using data flow graphs. The graph nodes 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 also includes TensorBoard, a data visualization toolkit.
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.
If you want to contribute to TensorFlow, be sure to review the contribution guidelines. This project adheres to TensorFlow's code of conduct. By participating, you are expected to uphold this code.
We use GitHub issues for tracking requests and bugs. So please see TensorFlow Discuss for general questions and discussion, and please direct specific questions to Stack Overflow.
The TensorFlow project strives to abide by generally accepted best practices in open-source software development:
See Installing TensorFlow for instructions on how to install our release binaries or how to build from source.
People who are a little more adventurous can also try our nightly binaries:
Nightly pip packages
pip install tf-nightly
or pip install tf-nightly-gpu
in a clean environment to install the nightly TensorFlow build. We support CPU and GPU packages on Linux, Mac, and Windows.Individual whl files
$ python
>>> import tensorflow as tf >>> hello = tf.constant('Hello, TensorFlow!') >>> sess = tf.Session() >>> sess.run(hello) 'Hello, TensorFlow!' >>> a = tf.constant(10) >>> b = tf.constant(32) >>> sess.run(a + b) 42 >>> sess.close()
Learn more about the TensorFlow community at the community page of tensorflow.org for a few ways to participate.