public final class
QuantizedMatMulWithBiasAndDequantize
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