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android / platform / external / tensorflow / 8e77adf1452
commit8e77adf14527054878ab8d4a572029d8ff5c429a[log] [tgz]
authorAntonio Sanchez <cantonios@google.com>Wed Mar 09 11:53:16 2022 -0800
committerTensorFlower Gardener <gardener@tensorflow.org>Wed Mar 09 11:56:52 2022 -0800
treec3a1c5eed2f6d2eb7b276e216b3a5c25aadbdecf
parent3c6006e797b0979a51c2eae8018376b85261192f [diff]
Update Eigen to commit:008ff3483a8c5604639e1c4d204eae30ad737af6

CHANGELOG
=========
008ff3483 - Fix broken tensor executor test, allow tensor packets of size 1.
28c7c1a62 - Log position of first difference for easier debugging.
cf8218641 - Adds new CMake Options for controlling build components.
b2ee235a4 - Split and reduce SVD test sizes.
0ae94456a - Remove duplicate IsRowMajor declaration.
0e6f4e43f - Fix a few confusing comments in psincos_float.
f1b9692d6 - Removed EIGEN_UNUSED decorations from many functions that are in fact used
27d8f29be - Update vectorization_logic tests for all platforms.
c9ff739af - Fix JacobiSVD_LAPACKE bindings
d0b1aef6f - Speed lscg by using .noalias
55c7400db - Fix enum conversion warnings in BooleanRedux.
711803c42 - Skip denormal test if `Cond` is false.
d819a33bf - Remove poor non-convergence checks in NonLinearOptimization.
9c07e201f - Modified sqrt/rsqrt for denormal handling.
1c2690ed2 - Adjust tolerance of matrix_power test for MSVC.
b48922cb5 - Fix SVD for MSVC+CUDA.
bf6726a0c - Fix any/all reduction in the case of row-major layout
f03df0df5 - Fix SVD for MSVC.
19c39bea2 - Fix mixingtypes for g++-11.
2ed4bee78 - Fix frexp packetmath tests for MSVC.
d58e62913 - Disable deprecated warnings for SVD tests on MSVC.
3d7e2d0e3 - Fix packetmath compilation error.
897071977 - Fix gcc-5 packetmath_12 bug.
f0b81fefb - Disable deprecated warnings in SVD tests.
8b875dbef - Changes to fast SQRT/RSQRT
f9b7564fa - E2K: initial support of LCC MCST compiler for the Elbrus 2000 CPU architecture
ae86a146b - Modify test expression to avoid numerical differences (#2402).
cd80e04ab - Add assert for edge case if Thin U Requested at runtime
35727928a - Fix test macro conflicts with STL headers in C++20
2dd879d4b - [SYCL] Fix CMake for SYCL support
550af3938 - Fix for crash bug in SPQRSupport: Initialize pointers to nullptr to avoid free() calls of invalid pointers.
58a90c746 - Use fixed-sized U/V for fixed-sized inputs.
c367ed26a - Make FixedInt constexpr, fix ODR of fix<N>
766087329 - Re-add `svd::compute(Matrix, options)` method to avoid breaking external projects.
a58af20d6 - Add descriptions to Matrix typedefs.
28e008b99 - Fix sqrt/rsqrt for NEON.
23755030c - Fix MSVC+NVCC 9.2 pragma error.
7197b577f - Remove unused macros in AVX packetmath.
bded5028a - Fix ODR failures in TensorRandom.
18eab8f99 - Add convenience method `constexpr std::size_t size() const` to `Eigen::IndexList`
fbc62f7df - Complete doc with MatrixXNt and MatrixNXt
cb5ca1c90 - Cleanup compiler warnings, etc from recent changes in GEMM & GEMV for PowerPC
cec0005c7 - Return alphas() and betas() by const reference
92d0026b7 - Provide a definition for numeric_limits static data members
b94bddcde - Typo in COD's doc: matrixR() -> matrixT()
94bed2b80 - Fix collision with resolve.h.
b88de3f24 - Update MPL2 with https.
9441d94dc - Revert "Make fixed-size Matrix and Array trivially copyable after C++20"
979fdd58a - Add generic fast psqrt and prsqrt impls and make them correct for 0, +Inf, NaN, and negative arguments.
4bffbe84f - Restrict GCC<6.3 maxpd workaround to only gcc.
e7f4a901e - Define EIGEN_HAS_AVX512_MATH in PacketMath.
6b60bd675 - Fix 32-bit arm int issue.
96da541cb - Fix AVX512 math function consistency, enable for ICC.
cafeadffe - Fix ODR violations.
18b50458b - Update SVD Module with Options template parameter
89c6ab238 - removed some documentation referencing c++98 behaviour
66464bd2a - Fix number of block columns to NOT overflow the cache (PowerPC) abnormally in GEMV

PiperOrigin-RevId: 433536960
2 files changed
tree: c3a1c5eed2f6d2eb7b276e216b3a5c25aadbdecf
  1. .github/
  2. tensorflow/
  3. third_party/
  4. tools/
  5. .pylintrc ⇨ tensorflow/tools/ci_build/pylintrc
  6. .bazelrc
  7. .bazelversion
  8. .clang-format
  9. .gitignore
  10. .zenodo.json
  11. arm_compiler.BUILD
  12. AUTHORS
  13. BUILD
  14. CITATION.cff
  15. CODE_OF_CONDUCT.md
  16. CODEOWNERS
  17. configure
  18. configure.cmd
  19. configure.py
  20. CONTRIBUTING.md
  21. ISSUE_TEMPLATE.md
  22. ISSUES.md
  23. LICENSE
  24. models.BUILD
  25. README.md
  26. RELEASE.md
  27. SECURITY.md
  28. WORKSPACE
README.md

Python PyPI DOI

Documentation
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.

Install

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.

Try your first TensorFlow program

$ 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.

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:

Fuzzing Status CII Best Practices Contributor Covenant

Continuous build status

You can find more community-supported platforms and configurations in the TensorFlow SIG Build community builds table.

Official Builds

Build TypeStatusArtifacts
Linux CPUStatusPyPI
Linux GPUStatusPyPI
Linux XLAStatusTBA
macOSStatusPyPI
Windows CPUStatusPyPI
Windows GPUStatusPyPI
AndroidStatusDownload
Raspberry Pi 0 and 1StatusPy3
Raspberry Pi 2 and 3StatusPy3
Libtensorflow MacOS CPUStatus Temporarily UnavailableNightly Binary Official GCS
Libtensorflow Linux CPUStatus Temporarily UnavailableNightly Binary Official GCS
Libtensorflow Linux GPUStatus Temporarily UnavailableNightly Binary Official GCS
Libtensorflow Windows CPUStatus Temporarily UnavailableNightly Binary Official GCS
Libtensorflow Windows GPUStatus Temporarily UnavailableNightly Binary Official GCS

Resources

Learn more about the TensorFlow community and how to contribute.

License

Apache License 2.0