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>
product()

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<U extends TType>
asOutput()
Returns the symbolic handle of the tensor.
abstract U extends TType
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<U extends TType>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

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 ()