Element-wise multiplication of a sparse matrix with a dense tensor.
Returns a sparse matrix.
The dense tensor `b` may be either a scalar; otherwise `a` must be a rank-3 `SparseMatrix`; in this case `b` must be shaped `[batch_size, 1, 1]` and the multiply operation broadcasts.
NOTE even if `b` is zero, the sparsity structure of the output does not change.
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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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.
public static SparseMatrixMul create (Scope scope, Operand<?> a, Operand<T> b)
Factory method to create a class wrapping a new SparseMatrixMul operation.
Parameters
scope | current scope |
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a | A CSRSparseMatrix. |
b | A dense tensor. |
Returns
- a new instance of SparseMatrixMul