public final class
QuantizedMatMulWithBiasAndDequantize
Nested Classes
| class | QuantizedMatMulWithBiasAndDequantize.Options | Optional attributes for QuantizedMatMulWithBiasAndDequantize
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Public Methods
| Output<W> |
asOutput()
Returns the symbolic handle of a tensor.
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| 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.
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| static QuantizedMatMulWithBiasAndDequantize.Options |
inputQuantMode(String inputQuantMode)
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| Output<W> |
out()
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| static QuantizedMatMulWithBiasAndDequantize.Options |
transposeA(Boolean transposeA)
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| static QuantizedMatMulWithBiasAndDequantize.Options |
transposeB(Boolean transposeB)
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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