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 = []`.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static ResourceScatterMin |
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static ResourceScatterMin create (Scope scope, Operand<?> resource, Operand<? extends TNumber> indices, Operand<? extends TType> updates)
Factory method to create a class wrapping a new ResourceScatterMin 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 ResourceScatterMin