@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.TensorArrayConcat extends Pointer
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).
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)).| Modifier and Type | Class and Description |
|---|---|
static class |
tensorflow.TensorArrayConcat.Attrs
Optional attribute setters for TensorArrayConcat
|
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
TensorArrayConcat(Pointer p)
Pointer cast constructor.
|
TensorArrayConcat(tensorflow.Scope scope,
tensorflow.Input handle,
tensorflow.Input flow_in,
int dtype) |
TensorArrayConcat(tensorflow.Scope scope,
tensorflow.Input handle,
tensorflow.Input flow_in,
int dtype,
tensorflow.TensorArrayConcat.Attrs attrs) |
| Modifier and Type | Method and Description |
|---|---|
static tensorflow.TensorArrayConcat.Attrs |
ElementShapeExcept0(tensorflow.PartialTensorShape x) |
tensorflow.Output |
lengths() |
tensorflow.TensorArrayConcat |
lengths(tensorflow.Output lengths) |
tensorflow.Operation |
operation() |
tensorflow.TensorArrayConcat |
operation(tensorflow.Operation operation) |
tensorflow.Output |
value() |
tensorflow.TensorArrayConcat |
value(tensorflow.Output value) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic TensorArrayConcat(Pointer p)
Pointer.Pointer(Pointer).public TensorArrayConcat(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input handle, @ByVal tensorflow.Input flow_in, @Cast(value="tensorflow::DataType") int dtype)
public TensorArrayConcat(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input handle, @ByVal tensorflow.Input flow_in, @Cast(value="tensorflow::DataType") int dtype, @Const @ByRef tensorflow.TensorArrayConcat.Attrs attrs)
@ByVal public static tensorflow.TensorArrayConcat.Attrs ElementShapeExcept0(@ByVal tensorflow.PartialTensorShape x)
@ByRef public tensorflow.Operation operation()
public tensorflow.TensorArrayConcat operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output value()
public tensorflow.TensorArrayConcat value(tensorflow.Output value)
@ByRef public tensorflow.Output lengths()
public tensorflow.TensorArrayConcat lengths(tensorflow.Output lengths)
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