STT-tensorflow/README.md at r2.0

Peng Sun 4da1ccb9ff Patch to enable r2.0 ROCm non-xla support

The goal for this PR is to patch Tensorflow r2.0 release, so it would fully enable ROCm
non-xla path support.

Most of the PRs been cherry-picked in this patch have already been upstreamed in the
upstream master branch.

The following were all the related commits been cherry-picked:

Commits on Aug 20, 2019
deven-amd and sunway513
adding/updating ROCm support in the ci_build scripts
d5a0eee
deven-amd and sunway513
updating Dockerfile.rocm to pick a specific version of the rocm libra… …
e335575
deven-amd and sunway513
adding a script for testing the ROCm Community Supported Build
ae83a20

Commits on Aug 22, 2019
deven-amd and sunway513
Resolve merge conflicts for PR #31393
73ff708
deven-amd and sunway513
The following PR/commit breaks the --config=rocm build …
614bdb5
deven-amd and sunway513
updating testcases to work correctly with ROCm
1685240
jeffdaily and sunway513
improve concurrency between compute and nccl streams …
3fbb049
whchung and sunway513
[ROCm] enable roll op on ROCm.
1d5f440
whchung and sunway513
[ROCm] enable InTopK op on ROCm.
941f713
deven-amd and sunway513
updating README.md with information on ROCm Community Supported Builds
73ce64e

Commits on Aug 25, 2019
houtoms and sunway513
fixed potential rocm breaks from use_padded_io
0832b33
deven-amd and sunway513
adding no_rocm tag on unit-tests that check features that are current… …
7aed626
deven-amd and sunway513
Adding ROCm support for reduction ops
82bd216
sunway513
Fix ROCm path build error in rocm_dnn.h
5dba305

Commits on Aug 27, 2019
deven-amd
fixing test failures by skipping parts that functionality not yet sup… …
be6378c
sunway513
Merge pull request #616 from ROCmSoftwarePlatform/r2.0-rocm-upstream-… …
d98a943
sunway513
Add no_rocm tag to //tensorflow/python:stateful_random_ops_test_gpu
d05a47f

Commits on Sep 04, 2019
sunway513
Merge branch 'r2.0-rocm-upstream' of https://github.com/ROCmSoftwareP… …
b1148e4

Commits on Sep 06, 2019
deven-amd and sunway513
adding ROCm support in the build_pip_package script
b908324

2019-09-16 14:34:04 -05:00

12 KiB

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`Documentation`

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 enables you to 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.

TensorFlow provides stable Python and C APIs as well as non-guaranteed backwards compatible API's for C++, Go, Java, JavaScript, and Swift.

Keep up to date with release announcements and security updates by subscribing to announce@tensorflow.org.

Installation

To install the current release for CPU-only:

pip install tensorflow

Use the GPU package for CUDA-enabled GPU cards:

pip install tensorflow-gpu

See Installing TensorFlow for detailed instructions, and how to build from source.

People who are a little more adventurous can also try our nightly binaries:

Nightly pip packages * We are pleased to announce that TensorFlow now offers nightly pip packages under the tf-nightly and tf-nightly-gpu project on PyPi. Simply run 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.

Try your first TensorFlow program

$ python

>>> import tensorflow as tf
>>> tf.enable_eager_execution()
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
'Hello, TensorFlow!'

Learn more examples about how to do specific tasks in TensorFlow at the tutorials page of tensorflow.org.

Contribution guidelines

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:

Continuous build status

Official Builds

Build Type	Status	Artifacts
Linux CPU		pypi
Linux GPU		pypi
Linux XLA		TBA
MacOS		pypi
Windows CPU		pypi
Windows GPU		pypi
Android
Raspberry Pi 0 and 1		Py2 Py3
Raspberry Pi 2 and 3		Py2 Py3

Community Supported Builds

Build Type	Status	Artifacts
Linux AMD ROCm GPU Nightly		Nightly
Linux AMD ROCm GPU Stable Release		Release
Linux s390x Nightly		Nightly
Linux s390x CPU Stable Release		Release
Linux ppc64le CPU Nightly		Nightly
Linux ppc64le CPU Stable Release		Release
Linux ppc64le GPU Nightly		Nightly
Linux ppc64le GPU Stable Release		Release
Linux CPU with Intel® MKL-DNN Nightly		Nightly
Linux CPU with Intel® MKL-DNN Supports Python 2.7, 3.4, 3.5, and 3.6		1.13.1 pypi
Red Hat® Enterprise Linux® 7.6 CPU & GPU Python 2.7, 3.6		1.13.1 pypi