Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
SparseMatrixAdd
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Sparse addition of two CSR matrices, C = alpha * A + beta * B.
The gradients of SparseMatrixAdd outputs with respect to alpha and beta are not
currently defined (TensorFlow will return zeros for these entries).
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
Public Methods
public
Output<Object>
asOutput
()
Returns the symbolic handle of a 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.
Factory method to create a class wrapping a new SparseMatrixAdd operation.
Parameters
scope |
current scope |
a |
A CSRSparseMatrix. |
b |
A CSRSparseMatrix. |
alpha |
A constant scalar. |
beta |
A constant scalar. |
Returns
- a new instance of SparseMatrixAdd
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Last updated 2022-02-12 UTC.
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