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 ...

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.

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

Public attributes
flow_out
operation

Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

flow_out

::tensorflow::Output flow_out

operation

Operation operation

Public functions

TensorArraySplit

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

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const