tf.raw_ops.TensorListConcatV2
Concats all tensors in the list along the 0th dimension.
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. |
© 2020 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/versions/r2.3/api_docs/python/tf/raw_ops/TensorListConcatV2