GraphQuantizedMatMulWithBiasAndRequantize Method |
Namespace: Emgu.TF
public Operation QuantizedMatMulWithBiasAndRequantize( Output a, Output b, Output bias, Output min_a, Output max_a, Output min_b, Output max_b, Output min_freezed_output, Output max_freezed_output, Nullable<DataType> Toutput = null, bool transpose_a = false, bool transpose_b = false, string input_quant_mode = null, string opName = "QuantizedMatMulWithBiasAndRequantize" )
Public Function QuantizedMatMulWithBiasAndRequantize ( a As Output, b As Output, bias As Output, min_a As Output, max_a As Output, min_b As Output, max_b As Output, min_freezed_output As Output, max_freezed_output As Output, Optional Toutput As Nullable(Of DataType) = Nothing, Optional transpose_a As Boolean = false, Optional transpose_b As Boolean = false, Optional input_quant_mode As String = Nothing, Optional opName As String = "QuantizedMatMulWithBiasAndRequantize" ) As Operation
public: Operation^ QuantizedMatMulWithBiasAndRequantize( Output^ a, Output^ b, Output^ bias, Output^ min_a, Output^ max_a, Output^ min_b, Output^ max_b, Output^ min_freezed_output, Output^ max_freezed_output, Nullable<DataType> Toutput = nullptr, bool transpose_a = false, bool transpose_b = false, String^ input_quant_mode = nullptr, String^ opName = L"QuantizedMatMulWithBiasAndRequantize" )
member QuantizedMatMulWithBiasAndRequantize : a : Output * b : Output * bias : Output * min_a : Output * max_a : Output * min_b : Output * max_b : Output * min_freezed_output : Output * max_freezed_output : Output * ?Toutput : Nullable<DataType> * ?transpose_a : bool * ?transpose_b : bool * ?input_quant_mode : string * ?opName : string (* Defaults: let _Toutput = defaultArg Toutput null let _transpose_a = defaultArg transpose_a false let _transpose_b = defaultArg transpose_b false let _input_quant_mode = defaultArg input_quant_mode null let _opName = defaultArg opName "QuantizedMatMulWithBiasAndRequantize" *) -> Operation
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