Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
No validity checking is performed on the indices of A. However, the following input format is recommended for optimal behavior:
if adjoint_a == false: A should be sorted in lexicographically increasing order. Use SparseReorder if you're not sure. if adjoint_a == true: A should be sorted in order of increasing dimension 1 (i.e., "column major" order instead of "row major" order).
Nested Classes
class | SparseTensorDenseMatMul.Options | Optional attributes for SparseTensorDenseMatMul
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static SparseTensorDenseMatMul.Options |
adjointA(Boolean adjointA)
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static SparseTensorDenseMatMul.Options |
adjointB(Boolean adjointB)
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Output<U> |
asOutput()
Returns the symbolic handle of the tensor.
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static <U extends TType> SparseTensorDenseMatMul<U> | |
Output<U> |
product()
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static SparseTensorDenseMatMul.Options adjointA (Boolean adjointA)
Parameters
adjointA | Use the adjoint of A in the matrix multiply. If A is complex, this is transpose(conj(A)). Otherwise it's transpose(A). |
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public static SparseTensorDenseMatMul.Options adjointB (Boolean adjointB)
Parameters
adjointB | Use the adjoint of B in the matrix multiply. If B is complex, this is transpose(conj(B)). Otherwise it's transpose(B). |
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public Output<U> 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 SparseTensorDenseMatMul<U> create (Scope scope, Operand<? extends TNumber> aIndices, Operand<U> aValues, Operand<TInt64> aShape, Operand<U> b, Options... options)
Factory method to create a class wrapping a new SparseTensorDenseMatMul operation.
Parameters
scope | current scope |
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aIndices | 2-D. The `indices` of the `SparseTensor`, size `[nnz, 2]` Matrix. |
aValues | 1-D. The `values` of the `SparseTensor`, size `[nnz]` Vector. |
aShape | 1-D. The `shape` of the `SparseTensor`, size `[2]` Vector. |
b | 2-D. A dense Matrix. |
options | carries optional attributes values |
Returns
- a new instance of SparseTensorDenseMatMul