Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

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 = []`.

Public Methods

static <T extends Number, U> ResourceScatterMax
create ( Scope scope, Operand <?> resource, Operand <T> indices, Operand <U> updates)
Factory method to create a class wrapping a new ResourceScatterMax operation.

Inherited Methods

Public Methods

public static ResourceScatterMax create ( Scope scope, Operand <?> resource, Operand <T> indices, Operand <U> updates)

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

Parameters
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`.
Returns
  • a new instance of ResourceScatterMax