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
adjointA (Boolean adjointA)
static SparseTensorDenseMatMul.Options
adjointB (Boolean adjointB)
Output <U>
asOutput ()
Returns the symbolic handle of the tensor.
static <U extends TType > 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.
Output <U>

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "SparseTensorDenseMatMul"

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).

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).

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
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

public Output <U> product ()