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Addons - Text

Maintainers

Submodule Maintainers Contact Info
skip_gram_ops
crf Dheeraj R. Reddy [email protected]
parse_time_op Helin Wang [email protected]

Components

Submodule Text Processing Function Reference
skip_gram_ops skip_gram_sample https://arxiv.org/abs/1301.3781
skip_gram_ops skip_gram_sample_with_text_vocab https://arxiv.org/abs/1301.3781
parse_time_op parse_time

Contribution Guidelines

Standard API

In order to conform with the current API standard, all text ops must:

  • Be impossible to implement in one of the other API standards (Layers, Losses, etc.).
  • Be related to text processing.
  • Add the addon to the py_library in this sub-package's BUILD file.

Testing Requirements

  • Simple unittests that demonstrate the text op is behaving as expected.
  • When applicable, run all unittests with TensorFlow's @run_in_graph_and_eager_modes (for test method) or run_all_in_graph_and_eager_modes (for TestCase subclass) decorator.
  • Add a py_test to this sub-package's BUILD file.

Documentation Requirements

  • Update the table of contents in this sub-packages's README.