/TensorFlow 2.4


Split the data from the input value into TensorArray elements.

Assuming that lengths takes on values

(n0, n1, ..., n(T-1))

and that value has shape

(n0 + n1 + ... + n(T-1) x d0 x d1 x ...),

this splits values into a TensorArray with T tensors.

TensorArray index t will be the subtensor of values with starting position

(n0 + n1 + ... + n(t-1), 0, 0, ...)

and having size

nt x d0 x d1 x ...

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).
A Tensor of type float32.

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Code samples licensed under the Apache 2.0 License.