parameters: (self)
return_statement: return Blob.Blob(self._internal.get_scale())
docstring: Gets scale, one of the trainable parameters in the formula.
          The total blob size is equal to the input **Height** * **Width** * **Depth** * **Channels**.
docstring_summary: Gets scale, one of the trainable parameters in the formula.
          The total blob size is equal to the input **Height** * **Width** * **Depth** * **Channels**.
docstring_tokens: Gets scale one of the trainable parameters in the formula . The total blob size is equal to the input ** Height ** * ** Width ** * ** Depth ** * ** Channels ** .
function: def scale(self):
          """Gets scale, one of the trainable parameters in the formula.
          The total blob size is equal to the input **Height** * **Width** * **Depth** * **Channels**.
          """
          return Blob.Blob(self._internal.get_scale())
function_tokens: def scale ( self ) : return Blob . Blob ( self . _internal . get_scale ( ) )