public final class
MatMul
Multiply the matrix "a" by the matrix "b".
The inputs must be two-dimensional matrices and the inner dimension of "a" (after being transposed if transpose_a is true) must match the outer dimension of "b" (after being transposed if transposed_b is true).
Note: The default kernel implementation for MatMul on GPUs uses cublas.
Nested Classes
| class | MatMul.Options | Optional attributes for MatMul
|
|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
|
| static <T extends TType> MatMul<T> |
create(Scope scope, Operand<T> a, Operand<T> b, Options... options)
Factory method to create a class wrapping a new MatMul operation.
|
| Output<T> |
product()
|
| static MatMul.Options |
transposeA(Boolean transposeA)
|
| static MatMul.Options |
transposeB(Boolean transposeB)
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"MatMul"
Public Methods
public Output<T> 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 MatMul<T> create (Scope scope, Operand<T> a, Operand<T> b, Options... options)
Factory method to create a class wrapping a new MatMul operation.
Parameters
| scope | current scope |
|---|---|
| options | carries optional attributes values |
Returns
- a new instance of MatMul
public static MatMul.Options transposeA (Boolean transposeA)
Parameters
| transposeA | If true, "a" is transposed before multiplication. |
|---|
public static MatMul.Options transposeB (Boolean transposeB)
Parameters
| transposeB | If true, "b" is transposed before multiplication. |
|---|