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TensorListScatterV2

public final class TensorListScatterV2

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.

Public Methods

Output<Object>
asOutput()
Returns the symbolic handle of a tensor.
static <T, U extends Number> TensorListScatterV2
create(Scope scope, Operand<T> tensor, Operand<Integer> indices, Operand<U> elementShape, Operand<Integer> numElements)
Factory method to create a class wrapping a new TensorListScatterV2 operation.
Output<?>

Inherited Methods

Public Methods

public Output<Object> asOutput ()

Returns the symbolic handle of a 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 TensorListScatterV2 create (Scope scope, Operand<T> tensor, Operand<Integer> indices, Operand<U> elementShape, Operand<Integer> numElements)

Factory method to create a class wrapping a new TensorListScatterV2 operation.

Parameters
scope current scope
Returns
  • a new instance of TensorListScatterV2

public Output<?> outputHandle ()