@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.SparseTensorDenseAdd extends Pointer
SparseTensor and a dense Tensor, producing a dense Tensor.
This Op does not require a_indices be sorted in standard lexicographic order.
Arguments:
* scope: A Scope object
* a_indices: 2-D. The indices of the SparseTensor, with shape [nnz, ndims].
* a_values: 1-D. The values of the SparseTensor, with shape [nnz].
* a_shape: 1-D. The shape of the SparseTensor, with shape [ndims].
* b: ndims-D Tensor. With shape a_shape.
Returns:
* Output: The output tensor.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
SparseTensorDenseAdd(Pointer p)
Pointer cast constructor.
|
SparseTensorDenseAdd(tensorflow.Scope scope,
tensorflow.Input a_indices,
tensorflow.Input a_values,
tensorflow.Input a_shape,
tensorflow.Input b) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.SparseTensorDenseAdd |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output() |
tensorflow.SparseTensorDenseAdd |
output(tensorflow.Output output) |
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 SparseTensorDenseAdd(Pointer p)
Pointer.Pointer(Pointer).public SparseTensorDenseAdd(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input a_indices, @ByVal tensorflow.Input a_values, @ByVal tensorflow.Input a_shape, @ByVal tensorflow.Input b)
@ByVal @Name(value="operator tensorflow::Output") public tensorflow.Output asOutput()
@ByVal @Name(value="operator tensorflow::Input") public tensorflow.Input asInput()
public tensorflow.Node node()
@ByRef public tensorflow.Operation operation()
public tensorflow.SparseTensorDenseAdd operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output()
public tensorflow.SparseTensorDenseAdd output(tensorflow.Output output)
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