tensorflow::ops::TensorArraySplit

#include <data_flow_ops.h>

Split the data from the input value into TensorArray elements.

Summary

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 ...```
Arguments:

• scope: A Scope object
• handle: The handle to a TensorArray.
• value: The concatenated tensor to write to the TensorArray.
• lengths: The vector of lengths, how to split the rows of value into the TensorArray.
• flow_in: A float scalar that enforces proper chaining of operations.

Returns:

• Output: A float scalar that enforces proper chaining of operations.

Public attributes

::tensorflow::Output flow_out

Operation operation

Public functions

 TensorArraySplit(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input handle,
  ::tensorflow::Input value,
  ::tensorflow::Input lengths,
  ::tensorflow::Input flow_in
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const