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 . |
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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