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# SparseTensorDenseMatMul

public final class SparseTensorDenseMatMul

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 ```

### Constants

 String OP_NAME The name of this op, as known by TensorFlow core engine

### Public Methods

 static SparseTensorDenseMatMul.Options (Boolean adjointA) static SparseTensorDenseMatMul.Options (Boolean adjointB) Output () Returns the symbolic handle of the tensor. static SparseTensorDenseMatMul ( Scope scope, Operand aIndices, Operand aValues, Operand < TInt64 > aShape, Operand b, Options... options) Factory method to create a class wrapping a new SparseTensorDenseMatMul operation. Output ()

## Constants

#### public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseTensorDenseMatMul"

## Public Methods

##### 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).

##### 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).

#### 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 2-D. The `indices` of the `SparseTensor`, size `[nnz, 2]` Matrix. 1-D. The `values` of the `SparseTensor`, size `[nnz]` Vector. 1-D. The `shape` of the `SparseTensor`, size `[2]` Vector. 2-D. A dense Matrix. carries optional attributes values
##### Returns
• a new instance of SparseTensorDenseMatMul

#### public Output <U> product ()

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