code: def call(self, inputs, mask=None):
      assert mask is not None
      broadcast_float_mask = ops.expand_dims(
          ops.cast(mask, "float32"), -1
      )
      inputs_exp = ops.exp(inputs) * broadcast_float_mask
      inputs_sum = ops.sum(
          inputs_exp * broadcast_float_mask, axis=-1, keepdims=True
      )
      return inputs_exp / inputs_sum
  
imports: import numpy
  import keras
  from keras import ops
  from keras import layers
label_desc: Use image node_id 2 for calling the TemporalSoftmax obj's underlying member method code with example usage: obj.call(inputs, mask) and returns: unknown