T
- data type for outputRef()
output@Operator public final class ScatterUpdate<T> extends PrimitiveOp implements Operand<T>
This operation computes
# Scalar indices
ref[indices, ...] = updates[...]
# Vector indices (for each i)
ref[indices[i], ...] = updates[i, ...]
# High rank indices (for each i, ..., j)
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.
If values in `ref` is to be updated more than once, because there are duplicate entries in `indices`, the order at which the updates happen for each value is undefined.
Requires `updates.shape = indices.shape + ref.shape[1:]` or `updates.shape = []`.
See also `tf.batch_scatter_update` and `tf.scatter_nd_update`.
Modifier and Type | Class and Description |
---|---|
static class |
ScatterUpdate.Options
Optional attributes for
ScatterUpdate |
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T,U extends Number> |
create(Scope scope,
Operand<T> ref,
Operand<U> indices,
Operand<T> updates,
ScatterUpdate.Options... options)
Factory method to create a class wrapping a new ScatterUpdate operation.
|
Output<T> |
outputRef()
= Same as `ref`.
|
static ScatterUpdate.Options |
useLocking(Boolean useLocking) |
equals, hashCode, op, toString
public static <T,U extends Number> ScatterUpdate<T> create(Scope scope, Operand<T> ref, Operand<U> indices, Operand<T> updates, ScatterUpdate.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 store in `ref`.options
- carries optional attributes valuespublic static ScatterUpdate.Options useLocking(Boolean useLocking)
useLocking
- If True, the assignment 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>
OperationBuilder.addInput(Output)
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