Split the data from the input value into TensorArray elements.
tf.raw_ops.TensorArraySplitV3(
handle, value, lengths, flow_in, name=None
)
Assuming that lengths takes on values
and that value has shape
this splits values into a TensorArray with T tensors. TensorArray index t will be the subtensor of values with starting position
and having size
| Args | |
|---|---|
handle | A Tensor of type resource. The handle to a TensorArray. |
value | A Tensor. The concatenated tensor to write to the TensorArray. |
lengths | A Tensor of type int64. The vector of lengths, how to split the rows of value into the TensorArray. |
flow_in | A Tensor of type float32. A float scalar that enforces proper chaining of operations. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor of type float32. |
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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/r2.3/api_docs/python/tf/raw_ops/TensorArraySplitV3