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tf.raw_ops.TensorListScatterV2

Creates a TensorList by indexing into a Tensor.

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.

© 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/r2.4/api_docs/python/tf/raw_ops/TensorListScatterV2