parameters: (self, args_lr_mult)
docstring: Sets an individual learning rate multiplier for each parameter.
  
          If you specify a learning rate multiplier for a parameter, then
          the learning rate for the parameter will be set as the product of
          the global learning rate `self.lr` and its multiplier.
  
          .. note:: The default learning rate multiplier of a `Variable`
              can be set with `lr_mult` argument in the constructor.
  
          Parameters
          ----------
          args_lr_mult : dict of str/int to float
              For each of its key-value entries, the learning rate multipler for the
              parameter specified in the key will be set as the given value.
  
              You can specify the parameter with either its name or its index.
              If you use the name, you should pass `sym` in the constructor,
              and the name you specified in the key of `args_lr_mult` should match
              the name of the parameter in `sym`. If you use the index, it should
              correspond to the index of the parameter used in the `update` method.
  
              Specifying a parameter by its index is only supported for backward
              compatibility, and we recommend to use the name instead.
docstring_summary: Sets an individual learning rate multiplier for each parameter.
docstring_tokens: Sets an individual learning rate multiplier for each parameter .
function: def set_lr_mult(self, args_lr_mult):
          """Sets an individual learning rate multiplier for each parameter.
  
          If you specify a learning rate multiplier for a parameter, then
          the learning rate for the parameter will be set as the product of
          the global learning rate `self.lr` and its multiplier.
  
          .. note:: The default learning rate multiplier of a `Variable`
              can be set with `lr_mult` argument in the constructor.
  
          Parameters
          ----------
          args_lr_mult : dict of str/int to float
              For each of its key-value entries, the learning rate multipler for the
              parameter specified in the key will be set as the given value.
  
              You can specify the parameter with either its name or its index.
              If you use the name, you should pass `sym` in the constructor,
              and the name you specified in the key of `args_lr_mult` should match
              the name of the parameter in `sym`. If you use the index, it should
              correspond to the index of the parameter used in the `update` method.
  
              Specifying a parameter by its index is only supported for backward
              compatibility, and we recommend to use the name instead.
          """
          self.lr_mult = {}
          if self.sym_info:
              attr, arg_names = self.sym_info
              for name in arg_names:
                  if name in attr and '__lr_mult__' in attr[name]:
                      self.lr_mult[name] = float(attr[name]['__lr_mult__'])
          self.lr_mult.update(args_lr_mult)
function_tokens: def set_lr_mult ( self , args_lr_mult ) : self . lr_mult = { } if self . sym_info : attr , arg_names = self . sym_info for name in arg_names : if name in attr and '__lr_mult__' in attr [ name ] : self . lr_mult [ name ] = float ( attr [ name ] [ '__lr_mult__' ] ) self . lr_mult . update ( args_lr_mult )