class_docstr: A layer which multiplies its input by a scalar variable.
class_docstr_tok: ["A","layer","which","multiplies","its","input","by","a","scalar","variable","."]
code: def _multiply(self, x, y):
      if self._use_operator:
          return x * y
      else:
          return math_ops.multiply(x, y)
  
imports: from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_conversion
  from tensorflow.python.keras import regularizers
  from tensorflow.python.keras.engine import base_layer
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import custom_gradient
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 4 for calling the MultiplyLayer obj's underlying member method code with example usage: obj._multiply(x, y) and returns: unknown, math_ops