Wraps the XLA DynamicUpdateSlice operator, documented at
https://www.tensorflow.org/performance/xla/operation_semantics#dynamicupdateslice .
XlaDynamicUpdateSlice generates a result which is the value of the `input` operand, with a slice update overwritten at `indices`. The shape of `update` determines the shape of the sub-array of the result which is updated. The shape of indices must be rank == 1, with dimension size equal to the rank of `input`.
Handling of out-of-bounds slice indices is implementation-defined.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Inherited Methods
boolean |
equals(Object arg0)
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final Class<?> |
getClass()
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int |
hashCode()
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final void |
notify()
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final void |
notifyAll()
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String |
toString()
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final void |
wait(long arg0, int arg1)
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final void |
wait(long arg0)
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final void |
wait()
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abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
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abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the tensor.
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.
public static DynamicUpdateSlice<T> create (Scope scope, Operand<T> input, Operand<T> update, Operand<? extends TNumber> indices)
Factory method to create a class wrapping a new DynamicUpdateSlice operation.
Parameters
scope | current scope |
---|---|
input | A `Tensor` of type T. |
update | A `Tensor` of type T. Same rank as `input`. |
indices | A vector of indices into `input`. Must have length equal to the rank of `input`. |
Returns
- a new instance of DynamicUpdateSlice