parameters: (layer)
docstring: Get the learning rate multipliers.
  
      Get the learning rate multipliers for the given layer. Assumes a
      Convolution/Deconvolution/InnerProduct layer.
  
      Parameters
      ----------
      layer : caffe_pb2.LayerParameter
          A Convolution, Deconvolution, or InnerProduct layer.
  
      Returns
      -------
      learning_rates : tuple of floats
          the learning rate multipliers for the weights and biases.
docstring_summary: Get the learning rate multipliers.
docstring_tokens: Get the learning rate multipliers .
function: def get_layer_lr_mult(layer):
      """Get the learning rate multipliers.
  
      Get the learning rate multipliers for the given layer. Assumes a
      Convolution/Deconvolution/InnerProduct layer.
  
      Parameters
      ----------
      layer : caffe_pb2.LayerParameter
          A Convolution, Deconvolution, or InnerProduct layer.
  
      Returns
      -------
      learning_rates : tuple of floats
          the learning rate multipliers for the weights and biases.
      """
      if layer.type not in ['Convolution', 'Deconvolution', 'InnerProduct']:
          raise ValueError("%s layers do not have a "
                           "learning rate multiplier" % layer.type)
  
      if not hasattr(layer, 'param'):
          return (1.0, 1.0)
  
      params = getattr(layer, 'param')
  
      if len(params) == 0:
          return (1.0, 1.0)
  
      if len(params) == 1:
          lrm0 = getattr(params[0],'lr_mult', 1.0)
          return (lrm0, 1.0)
  
      if len(params) == 2:
          lrm0, lrm1 = [getattr(p,'lr_mult', 1.0) for p in params]
          return (lrm0, lrm1)
  
      raise ValueError("Could not parse the learning rate multiplier")
function_tokens: def get_layer_lr_mult ( layer ) : if layer . type not in [ 'Convolution' , 'Deconvolution' , 'InnerProduct' ] : raise ValueError ( "%s layers do not have a " "learning rate multiplier" % layer . type ) if not hasattr ( layer , 'param' ) : return ( 1.0 , 1.0 ) params = getattr ( layer , 'param' ) if len ( params ) == 0 : return ( 1.0 , 1.0 ) if len ( params ) == 1 : lrm0 = getattr ( params [ 0 ] , 'lr_mult' , 1.0 ) return ( lrm0 , 1.0 ) if len ( params ) == 2 : lrm0 , lrm1 = [ getattr ( p , 'lr_mult' , 1.0 ) for p in params ] return ( lrm0 , lrm1 ) raise ValueError ( "Could not parse the learning rate multiplier" )