| commit | db829d97c69d76b3a842a8c898fc81b55ed76ed6 | [log] [tgz] |
|---|---|---|
| author | Justin Lebar <jlebar@google.com> | Thu Sep 02 14:11:04 2021 -0700 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Thu Sep 02 14:16:26 2021 -0700 |
| tree | 429e4109f48c33ddf87bc25f471e11b6a031fcac | |
| parent | 35b72241d2b49bf723b99e370b5f3dc04fd8f6b8 [diff] |
Introduce a cache to avoid O(n^2) behavior with GPU MOF. Some models have many multi-output fusion opportunities. When we evaluate these, we do an O(n^2) iteration over all pairs of nodes in an equivalence class. Before this change, we would recompute the shared memory required for each fusion, and the number of unnested reductions in each fusion, O(n^2) times. Computing these is tantamount to iterating over the whole fusion node, so is especially expensive when the fusion is large. Now we cache these values, so we compute them only O(n) times. PiperOrigin-RevId: 394539476 Change-Id: I9b8dba935ee9aa6735b952977091f1c2b62c5311
Documentation |
|---|
 |
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization to conduct machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.
TensorFlow provides stable Python and C++ APIs, as well as non-guaranteed backward compatible API for other languages.
Keep up-to-date with release announcements and security updates by subscribing to announce@tensorflow.org. See all the mailing lists.
See the TensorFlow install guide for the pip package, to enable GPU support, use a Docker container, and build from source.
To install the current release, which includes support for CUDA-enabled GPU cards (Ubuntu and Windows):
$ pip install tensorflow
A smaller CPU-only package is also available:
$ pip install tensorflow-cpu
To update TensorFlow to the latest version, add --upgrade flag to the above commands.
Nightly binaries are available for testing using the tf-nightly and tf-nightly-cpu packages on PyPi.
$ python
>>> import tensorflow as tf >>> tf.add(1, 2).numpy() 3 >>> hello = tf.constant('Hello, TensorFlow!') >>> hello.numpy() b'Hello, TensorFlow!'
For more examples, see the TensorFlow tutorials.
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, 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:
You can find more community-supported platforms and configurations in the TensorFlow SIG Build community builds table.
| Build Type | Status | Artifacts |
|---|---|---|
| Linux CPU |  | PyPI |
| Linux GPU |  | PyPI |
| Linux XLA |  | TBA |
| macOS |  | PyPI |
| Windows CPU |  | PyPI |
| Windows GPU |  | PyPI |
| Android |  | Download |
| Raspberry Pi 0 and 1 |  | Py3 |
| Raspberry Pi 2 and 3 |  | Py3 |
| Libtensorflow MacOS CPU | Status Temporarily Unavailable | Nightly Binary Official GCS |
| Libtensorflow Linux CPU | Status Temporarily Unavailable | Nightly Binary Official GCS |
| Libtensorflow Linux GPU | Status Temporarily Unavailable | Nightly Binary Official GCS |
| Libtensorflow Windows CPU | Status Temporarily Unavailable | Nightly Binary Official GCS |
| Libtensorflow Windows GPU | Status Temporarily Unavailable | Nightly Binary Official GCS |
Learn more about the TensorFlow community and how to contribute.