original_docstring: 
      3x3 depthwise version of the MobileNetV2 specific convolution block.
  
      Parameters:
      ----------
      x : Tensor
          Input tensor.
      in_channels : int
          Number of input channels.
      out_channels : int
          Number of output channels.
      strides : int or tuple/list of 2 int
          Strides of the convolution.
      activate : bool
          Whether activate the convolution block.
      training : bool, or a TensorFlow boolean scalar tensor
        Whether to return the output in training mode or in inference mode.
      name : str, default 'mobnet_dwconv3x3'
          Block name.
  
      Returns
      -------
      Tensor
          Resulted tensor.
      
docstring: 3x3 depthwise version of the MobileNetV2 specific convolution block.
  Parameters.
  
  x : Tensor
  Input tensor.
  in_channels : int
  Number of input channels.
  out_channels : int
  Number of output channels.
  strides : int or tuple/list of 2 int
  Strides of the convolution.
  activate : bool
  Whether activate the convolution block.
  training : bool, or a TensorFlow boolean scalar tensor
  Whether to return the output in training mode or in inference mode.
  name : str, default 'mobnet_dwconv3x3'
  Block name.
  
  Returns
  
  Tensor
  Resulted tensor.
docstring_tokens: 3x3 depthwise version of the MobileNetV2 specific convolution block . Parameters . x : Tensor Input tensor . in_channels : int Number of input channels . out_channels : int Number of output channels . strides : int or tuple / list of 2 int Strides of the convolution . activate : bool Whether activate the convolution block . training : bool or a TensorFlow boolean scalar tensor Whether to return the output in training mode or in inference mode . name : str default ' mobnet_dwconv3x3 ' Block name . Returns Tensor Resulted tensor .
code: def mobnet_dwconv3x3(x,
                       in_channels,
                       out_channels,
                       strides,
                       activate,
                       training,
                       name="mobnet_dwconv3x3"):
      """
      3x3 depthwise version of the MobileNetV2 specific convolution block.
  
      Parameters:
      ----------
      x : Tensor
          Input tensor.
      in_channels : int
          Number of input channels.
      out_channels : int
          Number of output channels.
      strides : int or tuple/list of 2 int
          Strides of the convolution.
      activate : bool
          Whether activate the convolution block.
      training : bool, or a TensorFlow boolean scalar tensor
        Whether to return the output in training mode or in inference mode.
      name : str, default 'mobnet_dwconv3x3'
          Block name.
  
      Returns
      -------
      Tensor
          Resulted tensor.
      """
      return mobnet_conv(
          x=x,
          in_channels=in_channels,
          out_channels=out_channels,
          kernel_size=3,
          strides=strides,
          padding=1,
          groups=out_channels,
          activate=activate,
          training=training,
          name=name)
code_tokens: def mobnet_dwconv3x3 ( x , in_channels , out_channels , strides , activate , training , name = "mobnet_dwconv3x3" ) : return mobnet_conv ( x = x , in_channels = in_channels , out_channels = out_channels , kernel_size = 3 , strides = strides , padding = 1 , groups = out_channels , activate = activate , training = training , name = name )
short_docstring: 3x3 depthwise version of the MobileNetV2 specific convolution block.
short_docstring_tokens: 3x3 depthwise version of the MobileNetV2 specific convolution block .
comment: """
      3x3 depthwise version of the MobileNetV2 specific convolution block.
  
      Parameters:
      ----------
      x : Tensor
          Input tensor.
      in_channels : int
          Number of input channels.
      out_channels : int
          Number of output channels.
      strides : int or tuple/list of 2 int
          Strides of the convolution.
      activate : bool
          Whether activate the convolution block.
      training : bool, or a TensorFlow boolean scalar tensor
        Whether to return the output in training mode or in inference mode.
      name : str, default 'mobnet_dwconv3x3'
          Block name.
  
      Returns
      -------
      Tensor
          Resulted tensor.
      """