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).
Constants
String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
Inherited Methods
From class
java.lang.Object
boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"SparseMatrixAdd"
Public Methods
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.
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 2021-11-29 UTC.
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