Adds up a SparseTensor and a dense Tensor, using these special rules:
(1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.
By these rules, the result is a logical SparseTensor with exactly the same indices and shape, but possibly with different non-zero values. The output of this Op is the resultant non-zero values.
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 SparseDenseCwiseAdd<T> create (Scope scope, Operand<TInt64> spIndices, Operand<T> spValues, Operand<TInt64> spShape, Operand<T> dense)
Factory method to create a class wrapping a new SparseDenseCwiseAdd operation.
Parameters
scope | current scope |
---|---|
spIndices | 2-D. `N x R` matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering. |
spValues | 1-D. `N` non-empty values corresponding to `sp_indices`. |
spShape | 1-D. Shape of the input SparseTensor. |
dense | `R`-D. The dense Tensor operand. |
Returns
- a new instance of SparseDenseCwiseAdd