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 call(self, inputs):
      self.assert_input_types(inputs)
      return self._multiply(inputs, self.v)
  
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 3 for calling the MultiplyLayer obj's underlying member method code with example usage: obj.call(inputs) and returns: self