tensorflow::ops::TensorArrayConcat

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).

Args:

• 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
)