Bump org.tensorflow:libtensorflow from 1.14.0 to 1.15.0

[dependabot]

Bumps org.tensorflow:libtensorflow from 1.14.0 to 1.15.0.

Changelog

Sourced from org.tensorflow:libtensorflow's changelog.

Release 1.15.0

This is the last 1.x release for TensorFlow. We do not expect to update the 1.x branch with features, although we will issue patch releases to fix vulnerabilities for at least one year.

Major Features and Improvements

• As announced, tensorflow pip package will by default include GPU support (same as tensorflow-gpu now) for the platforms we currently have GPU support (Linux and Windows). It will work on machines with and without Nvidia GPUs. tensorflow-gpu will still be available, and CPU-only packages can be downloaded at tensorflow-cpu for users who are concerned about package size.
• TensorFlow 1.15 contains a complete implementation of the 2.0 API in its compat.v2 module. It contains a copy of the 1.15 main module (without contrib) in the compat.v1 module. TensorFlow 1.15 is able to emulate 2.0 behavior using the enable_v2_behavior() function. This enables writing forward compatible code: by explicitly importing either tensorflow.compat.v1 or tensorflow.compat.v2, you can ensure that your code works without modifications against an installation of 1.15 or 2.0.
• EagerTensor now supports numpy buffer interface for tensors.
• Add toggles tf.enable_control_flow_v2() and tf.disable_control_flow_v2() for enabling/disabling v2 control flow.
• Enable v2 control flow as part of tf.enable_v2_behavior() and TF2_BEHAVIOR=1.
• AutoGraph translates Python control flow into TensorFlow expressions, allowing users to write regular Python inside tf.function-decorated functions. AutoGraph is also applied in functions used with tf.data, tf.distribute and tf.keras APIS.
• Adds enable_tensor_equality(), which switches the behavior such that:
  • Tensors are no longer hashable.
  • Tensors can be compared with == and !=, yielding a Boolean Tensor with element-wise comparison results. This will be the default behavior in 2.0.

Breaking Changes

• Tensorflow code now produces 2 different pip packages: tensorflow_core containing all the code (in the future it will contain only the private implementation) and tensorflow which is a virtual pip package doing forwarding to tensorflow_core (and in the future will contain only the public API of tensorflow). We don't expect this to be breaking, unless you were importing directly from the implementation.
• TensorFlow 1.15 is built using devtoolset7 (GCC7) on Ubuntu 16. This may lead to ABI incompatibilities with extensions built against earlier versions of TensorFlow.
• Deprecated the use of constraint= and .constraint with ResourceVariable.

... (truncated)

Commits

• 590d6ee Merge pull request #31861 from tensorflow-jenkins/relnotes-1.15.0rc0-16184
• b27ac43 Update RELEASE.md
• 07bf663 Merge pull request #33213 from Intel-tensorflow/mkl-dnn-0.20.6
• 46f50ff Merge pull request #33262 from tensorflow/ggadde-1-15-cp2
• 49c154e Merge pull request #33263 from tensorflow/ggadde-1-15-final-version
• a16adeb Update TensorFlow version to 1.15.0 in preparation for final relase.
• 8d71a87 Add saving of loaded/trained compatibility models in test and fix a compatibi...
• 8c48aff [Intel Mkl] Upgrading MKL-DNN to 0.20.6 to fix SGEMM regression
• 38ea9bb Merge pull request #33120 from tensorflow/perf
• a8ef0f5 Automated rollback of commit db7e43192d405973c6c50f6e60e831a198bb4a49
• Additional commits viewable in compare view

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