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).
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))
.
Constructors and Destructors |
|
---|---|
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 attributes |
|
---|---|
lengths
|
|
operation
|
|
value
|
Public static functions |
|
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ElementShapeExcept0
(PartialTensorShape x)
|
Structs |
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tensorflow::
|
Optional attribute setters for TensorArrayConcat . |
Public attributes
Public functions
TensorArrayConcat
TensorArrayConcat( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input flow_in, DataType dtype )
TensorArrayConcat
TensorArrayConcat( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input flow_in, DataType dtype, const TensorArrayConcat::Attrs & attrs )