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Merge pull request tensorflow#18114 from MarkDaoust/cherrypicks_17XQJ
Docs cherry-picks for r1.7
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tensorflow/contrib/eager/README.md

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# Eager Execution
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> *WARNING*: This is a preview/pre-alpha version. The API and performance
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> characteristics are subject to change.
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Eager execution is an experimental interface to TensorFlow that provides an
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imperative programming style (à la [NumPy](http://www.numpy.org)). When you
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enable eager execution, TensorFlow operations execute immediately; you do not
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execute a pre-constructed graph with
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Eager execution provides an imperative interface to TensorFlow (similiar to
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[NumPy](http://www.numpy.org)). When you enable eager execution, TensorFlow
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operations execute immediately; you do not execute a pre-constructed graph with
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[`Session.run()`](https://www.tensorflow.org/api_docs/python/tf/Session).
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For example, consider a simple computation in TensorFlow:
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## Caveats
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This feature is in early stages and work remains to be done in terms of smooth
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support for distributed and multi-GPU training and CPU performance.
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support for distributed and multi-GPU training and performance.
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- [Known issues](https://github.com/tensorflow/tensorflow/issues?q=is%3Aissue%20is%3Aopen%20label%3Acomp%3Aeager)
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- Feedback is welcome, please consider
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[filing an issue](https://github.com/tensorflow/tensorflow/issues/new) to provide it.
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## Installation
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Eager execution is included in TensorFlow versions 1.5 and above.
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Eager execution is included in TensorFlow versions 1.7 and above.
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Installation instructions at https://www.tensorflow.org/install/
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## Documentation
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For an introduction to eager execution in TensorFlow, see:
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- [User Guide](python/g3doc/guide.md)
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- [User Guide](https://www.tensorflow.org/programmers_guide/eager) ([source](../../docs_src/programmers_guide/eager.md))
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- Notebook: [Basic Usage](python/examples/notebooks/1_basics.ipynb)
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- Notebook: [Gradients](python/examples/notebooks/2_gradients.ipynb)
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- Notebook: [Importing Data](python/examples/notebooks/3_datasets.ipynb)
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## Changelog
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- 2017/10/31: Initial preview release.
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- 2017/10/31: Initial preview release (in TensorFlow 1.5)
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- 2017/12/01: Example of dynamic neural network:
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[SPINN: Stack-augmented Parser-Interpreter Neural Network](https://arxiv.org/abs/1603.06021).
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See [README.md](python/examples/spinn/README.md) for details.
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- 2017/03: Core functionality moved out of the experimental tf.contrib namespace
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in TensorFlow 1.7.

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