tf.raw_ops.TensorListScatterV2  |  TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.TensorListScatterV2

Stay organized with collections Save and categorize content based on your preferences.

Creates a TensorList by indexing into a Tensor.

View aliases

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.raw_ops.TensorListScatterV2

tf.raw_ops.TensorListScatterV2(
    tensor, indices, element_shape, num_elements, name=None
)

Each member of the TensorList corresponds to one row of the input tensor, specified by the given index (see tf.gather).

tensor: The input tensor. indices: The indices used to index into the list. element_shape: The shape of the elements in the list (can be less specified than the shape of the tensor). num_elements: The size of the output list. Must be large enough to accommodate the largest index in indices. If -1, the list is just large enough to include the largest index in indices. output_handle: The TensorList.

Args
tensor A Tensor.
indices A Tensor of type int32.
element_shape A Tensor. Must be one of the following types: int32, int64.
num_elements A Tensor of type int32.
name A name for the operation (optional).
Returns
A Tensor of type variant.

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. Some content is licensed under the numpy license.

Last updated 2024-04-26 UTC.