tensorflow::ops::TensorArraySplit

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 ...
  

Args:

• 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