code: def call(self, inputs):
      x = self.embedding(inputs)
      # Note that you could also prepare a `mask` tensor manually.
      # It only needs to be a boolean tensor
      # with the right shape, i.e. (batch_size, timesteps).
      mask = self.embedding.compute_mask(inputs)
      output = self.lstm(
          x, mask=mask
      )  # The layer will ignore the masked values
      return output
  
imports: import numpy
  import keras
  from keras import ops
  from keras import layers
label_desc: Use image node_id 2 for calling the MyLayer obj's underlying member method code with example usage: obj.call(inputs) and returns: output