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
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