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	:: tensorflow::Output
operation	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