Concat the elements from the TensorArray into value value
.
tf.raw_ops.TensorArrayConcatV3(
handle, flow_in, dtype, element_shape_except0=None, name=None
)
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 | |
---|---|
handle
|
A Tensor of type resource . The handle to a TensorArray.
|
flow_in
|
A Tensor of type float32 .
A float scalar that enforces proper chaining of operations.
|
dtype
|
A tf.DType . The type of the elem that is returned.
|
element_shape_except0
|
An optional tf.TensorShape or list of ints . Defaults to None .
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.
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A tuple of Tensor objects (value, lengths).
|
|
value
|
A Tensor of type dtype .
|
lengths
|
A Tensor of type int64 .
|