Nested Classes
class | QuantizedMatMulWithBiasAndDequantize.Options | Optional attributes for QuantizedMatMulWithBiasAndDequantize
|
Public Methods
Output<W> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <W extends Number, T, U, V> QuantizedMatMulWithBiasAndDequantize<W> |
create(Scope scope, Operand<T> a, Operand<U> b, Operand<V> bias, Operand<Float> minA, Operand<Float> maxA, Operand<Float> minB, Operand<Float> maxB, Operand<Float> minFreezedOutput, Operand<Float> maxFreezedOutput, Class<W> Toutput, Options... options)
Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndDequantize operation.
|
static QuantizedMatMulWithBiasAndDequantize.Options |
inputQuantMode(String inputQuantMode)
|
Output<W> |
out()
|
static QuantizedMatMulWithBiasAndDequantize.Options |
transposeA(Boolean transposeA)
|
static QuantizedMatMulWithBiasAndDequantize.Options |
transposeB(Boolean transposeB)
|
Inherited Methods
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()
|
Public Methods
public Output<W> asOutput ()
Returns the symbolic handle of a 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 QuantizedMatMulWithBiasAndDequantize<W> create (Scope scope, Operand<T> a, Operand<U> b, Operand<V> bias, Operand<Float> minA, Operand<Float> maxA, Operand<Float> minB, Operand<Float> maxB, Operand<Float> minFreezedOutput, Operand<Float> maxFreezedOutput, Class<W> Toutput, Options... options)
Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndDequantize operation.
Parameters
scope | current scope |
---|---|
options | carries optional attributes values |
Returns
- a new instance of QuantizedMatMulWithBiasAndDequantize