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