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

ResourceScatterMin

public final class ResourceScatterMin

Reduces sparse updates into the variable referenced by `resource` using the `min` operation.

This operation computes

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

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

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

static <T extends Number, U> ResourceScatterMin

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

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

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying `Operation`
final String	toString()

From class java.lang.Object

Public Methods

Factory method to create a class wrapping a new ResourceScatterMin 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`.