TensorListScatter

public final class TensorListScatter

Creates a TensorList by indexing into a Tensor.

Each member of the TensorList corresponds to one row of the input tensor, specified by the given index (see tf.gather).

tensor: The input tensor. indices: The indices used to index into the list. element_shape: The shape of the elements in the list (can be less specified than the shape of the tensor). num_elements: The size of the output list. Must be large enough to accommodate the largest index in indices. If -1, the list is just large enough to include the largest index in indices. output_handle: The TensorList.

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<TType>
asOutput()
Returns the symbolic handle of the tensor.
static TensorListScatter
create(Scope scope, Operand<? extends TType> tensor, Operand<TInt32> indices, Operand<? extends TNumber> elementShape, Operand<TInt32> numElements)
Factory method to create a class wrapping a new TensorListScatter operation.
Output<?>
outputHandle()

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "TensorListScatterV2"

Public Methods

public Output<TType> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static TensorListScatter create (Scope scope, Operand<? extends TType> tensor, Operand<TInt32> indices, Operand<? extends TNumber> elementShape, Operand<TInt32> numElements)

Factory method to create a class wrapping a new TensorListScatter operation.

Parameters
scope current scope
Returns
  • a new instance of TensorListScatter

public Output<?> outputHandle ()