Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

TensorArrayConcat

public final class TensorArrayConcat

Concat the elements from the TensorArray into value `value`.

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).

Nested Classes

class TensorArrayConcat.Options Optional attributes for TensorArrayConcat

Public Methods

static <T> TensorArrayConcat <T>
create ( Scope scope, Operand <?> handle, Operand <Float> flowIn, Class<T> dtype, Options... options)
Factory method to create a class wrapping a new TensorArrayConcat operation.
static TensorArrayConcat.Options
elementShapeExcept0 ( Shape elementShapeExcept0)
Output <Long>
lengths ()
A vector of the row sizes of the original T elements in the value output.
Output <T>
value ()
All of the elements in the TensorArray, concatenated along the first axis.

Inherited Methods

Public Methods

public static TensorArrayConcat <T> create ( Scope scope, Operand <?> handle, Operand <Float> flowIn, Class<T> dtype, Options... options)

Factory method to create a class wrapping a new TensorArrayConcat operation.

Parameters
scope current scope
handle The handle to a TensorArray.
flowIn A float scalar that enforces proper chaining of operations.
dtype The type of the elem that is returned.
options carries optional attributes values
Returns
  • a new instance of TensorArrayConcat

public static TensorArrayConcat.Options elementShapeExcept0 ( Shape elementShapeExcept0)

Parameters
elementShapeExcept0 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.

public Output <Long> 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 Output <T> value ()

All of the elements in the TensorArray, concatenated along the first axis.