ScatterMax

public final class ScatterMax

Reduces sparse updates into a variable reference using the `max` operation.

This operation computes

# Scalar indices ref[indices, ...] = max(ref[indices, ...], updates[...])

# Vector indices (for each i) ref[indices[i], ...] = max(ref[indices[i], ...], updates[i, ...])

# High rank indices (for each i, ..., j) ref[indices[i, ..., j], ...] = max(ref[indices[i, ..., j], ...], updates[i, ..., j, ...])

This operation outputs `ref` after the update is done. This makes it easier to chain operations that need to use the reset value.

Duplicate entries are handled correctly: if multiple `indices` reference the same location, their contributions combine.

Requires `updates.shape = indices.shape + ref.shape[1:]` or `updates.shape = []`.

Nested Classes

class ScatterMax.Options Optional attributes for ScatterMax  

Constants

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

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TNumber> ScatterMax<T>
create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, Options... options)
Factory method to create a class wrapping a new ScatterMax operation.
Output<T>
outputRef()
= Same as `ref`.
static ScatterMax.Options
useLocking(Boolean useLocking)

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "ScatterMax"

Public Methods

public Output<T> 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 ScatterMax<T> create (Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, Options... options)

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

Parameters
scope current scope
ref Should be from a `Variable` node.
indices A tensor of indices into the first dimension of `ref`.
updates A tensor of updated values to reduce into `ref`.
options carries optional attributes values
Returns
  • a new instance of ScatterMax

public Output<T> outputRef ()

= Same as `ref`. Returned as a convenience for operations that want to use the updated values after the update is done.

public static ScatterMax.Options useLocking (Boolean useLocking)

Parameters
useLocking If True, the update will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.