parameters: (cls, src, weights, bias, cp)
return_statement: return _convolution2D.Forward(src, weights, bias, cp)
docstring: convolution2D forward propagation
  
          Args:
              src (ideep4py.mdarray):
                  ``src`` feature maps of convolution2D forward propagation.
              weights (ideep4py.mdarray):
                  ``weights`` filters of convolution2D forward propagation.
              biass (ideep4py.mdarray):
                  ``biass`` bias of convolution2D forward propagation.
              cp (ideep4py.convolution2DParam):
                  ``cp`` convolution2D parameters (stride, padding,
                  output dimension, dilatation).
  
          Returns:
              ideep4py.mdarray: dst of convolution2D forward propagation.
docstring_summary: convolution2D forward propagation
docstring_tokens: convolution2D forward propagation
function: def Forward(cls, src, weights, bias, cp):
          """convolution2D forward propagation
  
          Args:
              src (ideep4py.mdarray):
                  ``src`` feature maps of convolution2D forward propagation.
              weights (ideep4py.mdarray):
                  ``weights`` filters of convolution2D forward propagation.
              biass (ideep4py.mdarray):
                  ``biass`` bias of convolution2D forward propagation.
              cp (ideep4py.convolution2DParam):
                  ``cp`` convolution2D parameters (stride, padding,
                  output dimension, dilatation).
  
          Returns:
              ideep4py.mdarray: dst of convolution2D forward propagation.
  
          """
          return _convolution2D.Forward(src, weights, bias, cp)
function_tokens: def Forward ( cls , src , weights , bias , cp ) : return _convolution2D . Forward ( src , weights , bias , cp )