tf.raw_ops.TensorListConcatV2  |  TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.TensorListConcatV2

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

Concats all tensors in the list along the 0th dimension.

View aliases

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.raw_ops.TensorListConcatV2

tf.raw_ops.TensorListConcatV2(
    input_handle, element_shape, leading_dims, element_dtype, name=None
)

Requires that all tensors have the same shape except the first dimension.

input_handle: The input list. element_shape: The shape of the uninitialized elements in the list. If the first dimension is not -1, it is assumed that all list elements have the same leading dim. leading_dims: The list of leading dims of uninitialized list elements. Used if the leading dim of input_handle.element_shape or the element_shape input arg is not already set. tensor: The concated result. lengths: Output tensor containing sizes of the 0th dimension of tensors in the list, used for computing the gradient.

Args
input_handle A Tensor of type variant.
element_shape A Tensor. Must be one of the following types: int32, int64.
leading_dims A Tensor of type int64.
element_dtype A tf.DType.
name A name for the operation (optional).
Returns
A tuple of Tensor objects (tensor, lengths).
tensor A Tensor of type element_dtype.
lengths A Tensor of type int64.

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.