commit | fe1bce6717fa412a56108c862ecdcdf9fbd6109c | [log] [tgz] |
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author | Penporn Koanantakool <penporn@google.com> | Fri Sep 11 12:56:58 2020 -0700 |
committer | TensorFlower Gardener <gardener@tensorflow.org> | Fri Sep 11 13:21:53 2020 -0700 |
tree | c8970d72ba53002266f401981283fe2445a9029e | |
parent | 4c961fb918d771f95a25fec53b6f90a7caa0d71f [diff] |
Bringing back PR #42339. PR #42339: [INTEL MKL] MKL DNN v0.x cleanup - Reset MKL build config and remove DNN v0.x related macros Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/42339 This is the first PR for MKL DNN v0.x clean - for Tensorflow 2.4, only MKL DNN v1.x will be supported (1) Reset MKL DNN related build config (mostly in third_part/mkl or mkl_dnn folder) (2) Remove MKL DNN v0.x related macros in core/util/mkl_types.c (3) Minor code style fix in one MKL kernel op. There will be a sequence of PR's which will clean up all related MKL kernels ops. PiperOrigin-RevId: 331205640 Change-Id: I2c3c3671fe8906a5dd18c6b017d05fc69a1e3f59
Documentation |
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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.
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$ 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
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Build Type | Status | Artifacts |
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Linux CPU | PyPI | |
Linux GPU | PyPI | |
Linux XLA | TBA | |
macOS | PyPI | |
Windows CPU | PyPI | |
Windows GPU | PyPI | |
Android | ||
Raspberry Pi 0 and 1 | Py3 | |
Raspberry Pi 2 and 3 | Py3 | |
Libtensorflow MacOS CPU | GCS | |
Libtensorflow Linux CPU | GCS | |
Libtensorflow Linux GPU | GCS | |
Libtensorflow Windows CPU | GCS | |
Libtensorflow Windows GPU | GCS |
Build Type | Status | Artifacts |
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Linux AMD ROCm GPU Nightly | Nightly | |
Linux AMD ROCm GPU Stable Release | Release 1.15 / 2.x | |
Linux s390x Nightly | Nightly | |
Linux s390x CPU Stable Release | Release | |
Linux ppc64le CPU Nightly | Nightly | |
Linux ppc64le CPU Stable Release | Release 1.15 / 2.x | |
Linux ppc64le GPU Nightly | Nightly | |
Linux ppc64le GPU Stable Release | Release 1.15 / 2.x | |
Linux aarch64 CPU Nightly Python 3.6 | Nightly | |
Linux aarch64 CPU Stable Release | Release 1.15 / 2.x | |
Linux CPU with Intel oneAPI Deep Neural Network Library (oneDNN) Nightly | Nightly | |
Linux CPU with Intel oneAPI Deep Neural Network Library (oneDNN) Stable Release | Release 1.15 / 2.x | |
Red Hat® Enterprise Linux® 7.6 CPU & GPU Python 2.7, 3.6 | 1.13.1 PyPI |
Learn more about the TensorFlow community and how to contribute.