GraphQuantizedConv2DWithBiasSignedSumAndReluAndRequantize Method |
Namespace: Emgu.TF
public Operation QuantizedConv2DWithBiasSignedSumAndReluAndRequantize( Output input, Output filter, Output bias, Output min_input, Output max_input, Output min_filter, Output max_filter, Output min_freezed_output, Output max_freezed_output, Output summand, Output min_summand, Output max_summand, long[] strides, string padding, Nullable<DataType> out_type = null, long[] dilations = null, long[] padding_list = null, string opName = "QuantizedConv2DWithBiasSignedSumAndReluAndRequantize" )
Public Function QuantizedConv2DWithBiasSignedSumAndReluAndRequantize ( input As Output, filter As Output, bias As Output, min_input As Output, max_input As Output, min_filter As Output, max_filter As Output, min_freezed_output As Output, max_freezed_output As Output, summand As Output, min_summand As Output, max_summand As Output, strides As Long(), padding As String, Optional out_type As Nullable(Of DataType) = Nothing, Optional dilations As Long() = Nothing, Optional padding_list As Long() = Nothing, Optional opName As String = "QuantizedConv2DWithBiasSignedSumAndReluAndRequantize" ) As Operation
public: Operation^ QuantizedConv2DWithBiasSignedSumAndReluAndRequantize( Output^ input, Output^ filter, Output^ bias, Output^ min_input, Output^ max_input, Output^ min_filter, Output^ max_filter, Output^ min_freezed_output, Output^ max_freezed_output, Output^ summand, Output^ min_summand, Output^ max_summand, array<long long>^ strides, String^ padding, Nullable<DataType> out_type = nullptr, array<long long>^ dilations = nullptr, array<long long>^ padding_list = nullptr, String^ opName = L"QuantizedConv2DWithBiasSignedSumAndReluAndRequantize" )
member QuantizedConv2DWithBiasSignedSumAndReluAndRequantize : input : Output * filter : Output * bias : Output * min_input : Output * max_input : Output * min_filter : Output * max_filter : Output * min_freezed_output : Output * max_freezed_output : Output * summand : Output * min_summand : Output * max_summand : Output * strides : int64[] * padding : string * ?out_type : Nullable<DataType> * ?dilations : int64[] * ?padding_list : int64[] * ?opName : string (* Defaults: let _out_type = defaultArg out_type null let _dilations = defaultArg dilations null let _padding_list = defaultArg padding_list null let _opName = defaultArg opName "QuantizedConv2DWithBiasSignedSumAndReluAndRequantize" *) -> Operation
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