tensorflow::ops::TensorArrayConcat

#include <data_flow_ops.h>

Concat the elements from the TensorArray into value value.

Summary

Takes T elements of shapes

(n0 x d0 x d1 x ...), (n1 x d0 x d1 x ...), ..., (n(T-1) x d0 x d1 x ...)

and concatenates them into a Tensor of shape:

```(n0 + n1 + ... + n(T-1) x d0 x d1 x ...)

  
    All elements must have the same shape (excepting the first dimension).
  
  
    Arguments:
* scope: A Scope object
* handle: The handle to a TensorArray.
* flow_in: A float scalar that enforces proper chaining of operations.
* dtype: The type of the elem that is returned.
  
  
    Optional attributes (see Attrs):
* element_shape_except0: The expected shape of an element, if known,
excluding the first dimension. Used to validate the shapes of
TensorArray elements. If this shape is not fully specified, concatenating
zero-size TensorArrays is an error.
  
  
    Returns:
* Output value: All of the elements in the TensorArray, concatenated along the first
axis.
* Output lengths: A vector of the row sizes of the original T elements in the
value output.  In the example above, this would be the values:
(n1, n2, ..., n(T-1)).  

  
  

Public attributes

::tensorflow::Output lengths

Operation operation

::tensorflow::Output value

Public functions

 TensorArrayConcat(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input handle,
  ::tensorflow::Input flow_in,
  DataType dtype
)

 TensorArrayConcat(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input handle,
  ::tensorflow::Input flow_in,
  DataType dtype,
  const TensorArrayConcat::Attrs & attrs
)

Public static functions

Attrs ElementShapeExcept0(
  PartialTensorShape x
)