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tf.contrib.data.scan

tf.contrib.data.scan(
    initial_state,
    scan_func
)

Defined in tensorflow/contrib/data/python/ops/scan_ops.py.

See the guide: Dataset Input Pipeline > Transformations on existing datasets

A transformation that scans a function across an input dataset.

This transformation is a stateful relative of tf.data.Dataset.map. In addition to mapping scan_func across the elements of the input dataset, scan() accumulates one or more state tensors, whose initial values are initial_state.

Args:

  • initial_state: A nested structure of tensors, representing the initial state of the accumulator.
  • scan_func: A function that maps (old_state, input_element) to (new_state, output_element). It must take two arguments and return a pair of nested structures of tensors. Thenew_statemust match the structure ofinitial_state`.

Returns:

A Dataset transformation function, which can be passed to tf.data.Dataset.apply.

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/data/scan