Bump tensorflow-cpu from 1.15.0 to 2.1.2

[dependabot]

Bumps tensorflow-cpu from 1.15.0 to 2.1.2.

Release notes

Sourced from tensorflow-cpu's releases.

TensorFlow 2.1.2

Release 2.1.2

Bug Fixes and Other Changes

• Fixes an undefined behavior causing a segfault in tf.raw_ops.Switch (CVE-2020-15190)
• Fixes three vulnerabilities in conversion to DLPack format (CVE-2020-15191, CVE-2020-15192, CVE-2020-15193)
• Fixes two vulnerabilities in SparseFillEmptyRowsGrad (CVE-2020-15194, CVE-2020-15195)
• Fixes an integer truncation vulnerability in code using the work sharder API (CVE-2020-15202)
• Fixes a format string vulnerability in tf.strings.as_string (CVE-2020-15203)
• Fixes segfault raised by calling session-only ops in eager mode (CVE-2020-15204)
• Fixes data leak and potential ASLR violation from tf.raw_ops.StringNGrams (CVE-2020-15205)
• Fixes segfaults caused by incomplete SavedModel validation (CVE-2020-15206)
• Fixes a data corruption due to a bug in negative indexing support in TFLite (CVE-2020-15207)
• Fixes a data corruption due to dimension mismatch in TFLite (CVE-2020-15208)
• Fixes several vulnerabilities in TFLite saved model format (CVE-2020-15209, CVE-2020-15210, CVE-2020-15211)
• Updates sqlite3 to 3.33.00 to handle CVE-2020-9327, CVE-2020-11655, CVE-2020-11656, CVE-2020-13434, CVE-2020-13435, CVE-2020-13630, CVE-2020-13631, CVE-2020-13871, and CVE-2020-15358.
• Removes scipy dependency from setup.py since TensorFlow does not need it to install the pip package
• Switches ROCM builds to use ROCM 3.7

TensorFlow 2.1.1

Release 2.1.1

Bug Fixes and Other Changes

• Updates sqlite3 to 3.31.01 to handle CVE-2019-19880, CVE-2019-19244 and CVE-2019-19645
• Updates curl to 7.69.1 to handle CVE-2019-15601
• Updates libjpeg-turbo to 2.0.4 to handle CVE-2018-19664, CVE-2018-20330 and CVE-2019-13960
• Updates Apache Spark to 2.4.5 to handle CVE-2019-10099, CVE-2018-17190 and CVE-2018-11770
• Fixes a versioning bug which causes Keras layers from TF 1.x to be used instead of those from TF 2.x

TensorFlow 2.1.0

Release 2.1.0

TensorFlow 2.1 will be the last TF release supporting Python 2. Python 2 support officially ends an January 1, 2020. As announced earlier, TensorFlow will also stop supporting Python 2 starting January 1, 2020, and no more releases are expected in 2019.

Major Features and Improvements

• The tensorflow pip package now includes GPU support by default (same as tensorflow-gpu) for both Linux and Windows. This runs on machines with and without NVIDIA GPUs. tensorflow-gpu is still available, and CPU-only packages can be downloaded at tensorflow-cpu for users who are concerned about package size.
• Windows users: Officially-released tensorflow Pip packages are now built with Visual Studio 2019 version 16.4 in order to take advantage of the new /d2ReducedOptimizeHugeFunctions compiler flag. To use these new packages, you must install "Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019", available from Microsoft's website here.
  • This does not change the minimum required version for building TensorFlow from source on Windows, but builds enabling EIGEN_STRONG_INLINE can take over 48 hours to compile without this flag. Refer to configure.py for more information about EIGEN_STRONG_INLINE and /d2ReducedOptimizeHugeFunctions.
  • If either of the required DLLs, msvcp140.dll (old) or msvcp140_1.dll (new), are missing on your machine, import tensorflow will print a warning message.
• The tensorflow pip package is built with CUDA 10.1 and cuDNN 7.6.
• tf.keras
  • Experimental support for mixed precision is available on GPUs and Cloud TPUs. See usage guide.
  • Introduced the TextVectorization layer, which takes as input raw strings and takes care of text standardization, tokenization, n-gram generation, and vocabulary indexing. See this end-to-end text classification example.
  • Keras .compile .fit .evaluate and .predict are allowed to be outside of the DistributionStrategy scope, as long as the model was constructed inside of a scope.
  • Experimental support for Keras .compile, .fit, .evaluate, and .predict is available for Cloud TPUs, Cloud TPU, for all types of Keras models (sequential, functional and subclassing models).
  • Automatic outside compilation is now enabled for Cloud TPUs. This allows tf.summary to be used more conveniently with Cloud TPUs.
  • Dynamic batch sizes with DistributionStrategy and Keras are supported on Cloud TPUs.
  • Support for .fit, .evaluate, .predict on TPU using numpy data, in addition to tf.data.Dataset.
  • Keras reference implementations for many popular models are available in the TensorFlow Model Garden.
• tf.data

... (truncated)

Changelog

Sourced from tensorflow-cpu's changelog.

Release 2.1.2

Bug Fixes and Other Changes

• Fixes an undefined behavior causing a segfault in tf.raw_ops.Switch (CVE-2020-15190)
• Fixes three vulnerabilities in conversion to DLPack format (CVE-2020-15191, CVE-2020-15192, CVE-2020-15193)
• Fixes two vulnerabilities in SparseFillEmptyRowsGrad (CVE-2020-15194, CVE-2020-15195)
• Fixes an integer truncation vulnerability in code using the work sharder API (CVE-2020-15202)
• Fixes a format string vulnerability in tf.strings.as_string (CVE-2020-15203)
• Fixes segfault raised by calling session-only ops in eager mode (CVE-2020-15204)
• Fixes data leak and potential ASLR violation from tf.raw_ops.StringNGrams (CVE-2020-15205)
• Fixes segfaults caused by incomplete SavedModel validation (CVE-2020-15206)
• Fixes a data corruption due to a bug in negative indexing support in TFLite (CVE-2020-15207)
• Fixes a data corruption due to dimension mismatch in TFLite (CVE-2020-15208)
• Fixes several vulnerabilities in TFLite saved model format (CVE-2020-15209, CVE-2020-15210, CVE-2020-15211)
• Updates sqlite3 to 3.33.00 to handle CVE-2020-9327, CVE-2020-11655, CVE-2020-11656, CVE-2020-13434, CVE-2020-13435, CVE-2020-13630, CVE-2020-13631, CVE-2020-13871, and CVE-2020-15358.
• Removes scipy dependency from setup.py since TensorFlow does not need it to install the pip package
• Switches ROCM builds to use ROCM 3.7

Release 2.0.3

Bug Fixes and Other Changes

• Fixes an undefined behavior causing a segfault in tf.raw_ops.Switch

... (truncated)

Commits

• ab35f2b Disable a bunch of tests on Windows GPU
• f6efeba Merge pull request #43444 from tensorflow-jenkins/version-numbers-2.1.2-2858
• d5ba28c Update version numbers to 2.1.2
• 3360254 Merge pull request #43439 from tensorflow-jenkins/relnotes-2.1.2-27543
• 8d60c3f Update RELEASE.md
• 6cab6db Insert release notes place-fill
• d0545eb Merge pull request #43412 from tensorflow/mm-fix-2.1
• 9178a24 Add missing import
• 468f38f No disable_tfrt present on this branch
• dfefb65 Merge pull request #43408 from tensorflow/mihaimaruseac-patch-3
• Additional commits viewable in compare view

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[dependabot]

Superseded by #7.