parameters: (keep)
return_statement: return combine([keep])
docstring: identity()
      Identity function.
      This is useful to pass to layers that accept, e.g., a non-linearity,
      but you wish to have none.
  
      Example:
       >>> linear_layer = Dense(500, activation=identity)
docstring_summary: identity()
      Identity function.
      This is useful to pass to layers that accept, e.g., a non-linearity,
      but you wish to have none.
docstring_tokens: identity () Identity function . This is useful to pass to layers that accept e . g . a non - linearity but you wish to have none .
function: def identity(keep):
      '''
      identity()
      Identity function.
      This is useful to pass to layers that accept, e.g., a non-linearity,
      but you wish to have none.
  
      Example:
       >>> linear_layer = Dense(500, activation=identity)
      '''
      # Note: We cannot use alias() here since parameter-shape inference cannot be done through alias().
      return combine([keep])
function_tokens: def identity ( keep ) : # Note: We cannot use alias() here since parameter-shape inference cannot be done through alias(). return combine ( [ keep ] )