class_docstr: Same as MultiplyLayer, but does not use AutoCastVariables.
class_docstr_tok: ["Same","as","MultiplyLayer",",","but","does","not","use","AutoCastVariables","."]
code: def call(self, inputs):
      self.assert_input_types(inputs)
      assert self.v.dtype in (dtypes.float32, dtypes.float64)
      return self._multiply(inputs, math_ops.cast(self.v, inputs.dtype))
  
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 2 for calling the MultiplyLayerWithoutAutoCast obj's underlying member method code with example usage: obj.call(inputs) and returns: self