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TensorFlow I/O

Travis-CI Build Status

TensorFlow I/O is a collection of file systems and file formats that are not available in TensorFlow's built-in support.

Developing

The TensorFlow I/O package (tensorflow-io) could be built from source:

$ docker run -it -v ${PWD}:/working_dir -w /working_dir  tensorflow/tensorflow:custom-op
$ # In docker
$ ./configure.sh
$ bazel build build_pip_pkg
$ bazel-bin/build_pip_pkg artifacts

A package file artifacts/tensorflow_io-*.whl will be generated after a build is successful.

Installation

Once a package file artifacts/tensorflow_io-*.whl is ready, installation could be done through:

$ pip install working_dir/artifacts/tensorflow_io-*.whl

The related module could be imported with python:

$  python
Python 2.7.6 (default, Nov 13 2018, 12:45:42)
[GCC 4.8.4] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from tensorflow_io.kafka import KafkaDataset
>>>

Note that python has to run outside of repo directory itself, otherwise python may not be able to find the correct path to the module.

License

Apache License 2.0

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