code: def test_pass_initial_state(self):
      sequence = np.arange(24).reshape((2, 4, 3)).astype("float32")
      initial_state = [
          np.arange(4).reshape((2, 2)).astype("float32") * 1,
          np.arange(4).reshape((2, 2)).astype("float32") * 2,
          np.arange(4).reshape((2, 2)).astype("float32") * 3,
          np.arange(4).reshape((2, 2)).astype("float32") * 4,
      ]
      forward_layer = layers.LSTM(
          2,
          kernel_initializer=initializers.Constant(0.01),
          recurrent_initializer=initializers.Constant(0.02),
          bias_initializer=initializers.Constant(0.03),
      )
      layer = layers.Bidirectional(
          layer=forward_layer,
      )
      output = layer(sequence, initial_state=initial_state)
      self.assertAllClose(
          np.array(
              [
                  [0.20794602, 0.4577124, 0.14046375, 0.48191673],
                  [0.6682636, 0.6711909, 0.60943645, 0.60950446],
              ]
          ),
          output,
      )
  
file_path: keras/keras/layers/rnn/bidirectional_test.py
imports: import numpy
  import pytest
  from keras import initializers
  from keras import layers
  from keras import testing
label_desc: Use image node_id 4 for calling the SimpleRNNTest obj's underlying member method code with example usage: obj.test_pass_initial_state() without return types