tf.contrib.data.scan
Stay organized with collections
Save and categorize content based on your preferences.
A transformation that scans a function across an input dataset. (deprecated)
tf.contrib.data.scan(
initial_state, scan_func
)
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. The new_statemust match the
structure of initial_state`.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.data.scan\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/data/python/ops/scan_ops.py#L24-L45) |\n\nA transformation that scans a function across an input dataset. (deprecated) \n\n tf.contrib.data.scan(\n initial_state, scan_func\n )\n\n| **Warning:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use [`tf.data.experimental.scan(...)`](../../../tf/data/experimental/scan).\n\nThis transformation is a stateful relative of [`tf.data.Dataset.map`](../../../tf/data/Dataset#map).\nIn addition to mapping `scan_func` across the elements of the input dataset,\n`scan()` accumulates one or more state tensors, whose initial values are\n`initial_state`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `initial_state` | A nested structure of tensors, representing the initial state of the accumulator. |\n| `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. The`new_state`must match the structure of`initial_state\\`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Dataset` transformation function, which can be passed to [`tf.data.Dataset.apply`](../../../tf/data/Dataset#apply). ||\n\n\u003cbr /\u003e"]]