GraphQuantizedBatchNormWithGlobalNormalization Method |
Namespace: Emgu.TF
public Operation QuantizedBatchNormWithGlobalNormalization( Output t, Output t_min, Output t_max, Output m, Output m_min, Output m_max, Output v, Output v_min, Output v_max, Output beta, Output beta_min, Output beta_max, Output gamma, Output gamma_min, Output gamma_max, DataType out_type, float variance_epsilon, bool scale_after_normalization, string opName = "QuantizedBatchNormWithGlobalNormalization" )
Public Function QuantizedBatchNormWithGlobalNormalization ( t As Output, t_min As Output, t_max As Output, m As Output, m_min As Output, m_max As Output, v As Output, v_min As Output, v_max As Output, beta As Output, beta_min As Output, beta_max As Output, gamma As Output, gamma_min As Output, gamma_max As Output, out_type As DataType, variance_epsilon As Single, scale_after_normalization As Boolean, Optional opName As String = "QuantizedBatchNormWithGlobalNormalization" ) As Operation
public: Operation^ QuantizedBatchNormWithGlobalNormalization( Output^ t, Output^ t_min, Output^ t_max, Output^ m, Output^ m_min, Output^ m_max, Output^ v, Output^ v_min, Output^ v_max, Output^ beta, Output^ beta_min, Output^ beta_max, Output^ gamma, Output^ gamma_min, Output^ gamma_max, DataType out_type, float variance_epsilon, bool scale_after_normalization, String^ opName = L"QuantizedBatchNormWithGlobalNormalization" )
member QuantizedBatchNormWithGlobalNormalization : t : Output * t_min : Output * t_max : Output * m : Output * m_min : Output * m_max : Output * v : Output * v_min : Output * v_max : Output * beta : Output * beta_min : Output * beta_max : Output * gamma : Output * gamma_min : Output * gamma_max : Output * out_type : DataType * variance_epsilon : float32 * scale_after_normalization : bool * ?opName : string (* Defaults: let _opName = defaultArg opName "QuantizedBatchNormWithGlobalNormalization" *) -> Operation
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