tf.raw_ops.TensorListScatterV2
Creates a TensorList by indexing into a Tensor.
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. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/TensorListScatterV2