T
- data type for outputRef()
output@Operator public final class ScatterMax<T extends Number> extends PrimitiveOp implements Operand<T>
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 = []`.
Modifier and Type | Class and Description |
---|---|
static class |
ScatterMax.Options
Optional attributes for
ScatterMax |
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number,U extends Number> |
create(Scope scope,
Operand<T> ref,
Operand<U> indices,
Operand<T> updates,
ScatterMax.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) |
equals, hashCode, op, toString
public static <T extends Number,U extends Number> ScatterMax<T> create(Scope scope, Operand<T> ref, Operand<U> indices, Operand<T> updates, ScatterMax.Options... options)
scope
- current scoperef
- 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 valuespublic static ScatterMax.Options useLocking(Boolean useLocking)
useLocking
- If True, the update will be protected by a lock;
otherwise the behavior is undefined, but may exhibit less contention.public Output<T> outputRef()
public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T extends Number>
OperationBuilder.addInput(Output)
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