parameters: (self, bias)
docstring: Sets bias, one of the trainable parameters in the formula.
          The total blob size is equal to the input **Height** * **Width** * **Depth** * **Channels**.
docstring_summary: Sets bias, one of the trainable parameters in the formula.
          The total blob size is equal to the input **Height** * **Width** * **Depth** * **Channels**.
docstring_tokens: Sets bias one of the trainable parameters in the formula . The total blob size is equal to the input ** Height ** * ** Width ** * ** Depth ** * ** Channels ** .
function: def bias(self, bias):
          """Sets bias, one of the trainable parameters in the formula.
          The total blob size is equal to the input **Height** * **Width** * **Depth** * **Channels**.
          """
          self._internal.set_bias(bias._internal)
function_tokens: def bias ( self , bias ) : self . _internal . set_bias ( bias . _internal )