SparseMatMul

public final class SparseMatMul

Multiply matrix "a" by matrix "b".

The inputs must be two-dimensional matrices and the inner dimension of "a" must match the outer dimension of "b". Both "a" and "b" must be `Tensor`s not `SparseTensor`s. This op is optimized for the case where at least one of "a" or "b" is sparse, in the sense that they have a large proportion of zero values. The breakeven for using this versus a dense matrix multiply on one platform was 30% zero values in the sparse matrix.

The gradient computation of this operation will only take advantage of sparsity in the input gradient when that gradient comes from a Relu.

Nested Classes

class SparseMatMul.Options Optional attributes for SparseMatMul  

Constants

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

Public Methods

static SparseMatMul.Options
aIsSparse(Boolean aIsSparse)
Output<TFloat32>
asOutput()
Returns the symbolic handle of the tensor.
static SparseMatMul.Options
bIsSparse(Boolean bIsSparse)
static SparseMatMul
create(Scope scope, Operand<? extends TNumber> a, Operand<? extends TNumber> b, Options... options)
Factory method to create a class wrapping a new SparseMatMul operation.
Output<TFloat32>
product()
static SparseMatMul.Options
transposeA(Boolean transposeA)
static SparseMatMul.Options
transposeB(Boolean transposeB)

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<TFloat32>
asOutput()
Returns the symbolic handle of the tensor.
abstract TFloat32
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<TFloat32>
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: "SparseMatMul"

Public Methods

public static SparseMatMul.Options aIsSparse (Boolean aIsSparse)

public Output<TFloat32> 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 SparseMatMul.Options bIsSparse (Boolean bIsSparse)

public static SparseMatMul create (Scope scope, Operand<? extends TNumber> a, Operand<? extends TNumber> b, Options... options)

Factory method to create a class wrapping a new SparseMatMul operation.

Parameters
scope current scope
options carries optional attributes values
Returns
  • a new instance of SparseMatMul

public Output<TFloat32> product ()

public static SparseMatMul.Options transposeA (Boolean transposeA)

public static SparseMatMul.Options transposeB (Boolean transposeB)