टेंसरफ़्लो :: ऑप्स :: TensorArrayConcat

Concat से तत्वों TensorArray मूल्य में value ।

सारांश

आकार के T तत्व लेता है

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

और उन्हें आकार के एक सेंसर में समाप्‍त करता है:

`` `(n0 + n1 + ... + n (T-1) x d0 x d1 x ...) 0222191920

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)).  

सार्वजनिक विशेषताएँ

Operation operation

::tensorflow::Output value

 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
)

Attrs ElementShapeExcept0(
  PartialTensorShape x
)