ResourceScatterMax

public final class ResourceScatterMax

Reduces sparse updates into the variable referenced by `resource` 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, ...])

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

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

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

static ResourceScatterMax

create(Scope scope, Operand<?> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates)

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

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

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

Constant Value: "ResourceScatterMax"

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

scope	current scope
resource	Should be from a `Variable` node.
indices	A tensor of indices into the first dimension of `ref`.
updates	A tensor of updated values to add to `ref`.