code: def test_leaky_relu(self, same_inputs, do_stabilize):
      key = random.PRNGKey(1)
      X0_1 = random.normal(key, (3, 2))
      fc = stax.Dense(5, 1, 0)
  
      X0_2 = None if same_inputs else random.normal(key, (4, 2))
  
      # Test that ABRelu(alpha, 1) == LeakyRelu(alpha)
      for a in [-2, -1, 0, 1, 2]:
          with self.subTest(alpha=a):
              (
                  init_fn,
                  apply_leaky_relu,
                  kernel_fn_leaky_relu,
              ) = stax.serial(
                  fc, stax.LeakyRelu(a, do_stabilize=do_stabilize)
              )
              _, apply_ab_relu, kernel_fn_ab_relu = stax.serial(
                  fc, stax.ABRelu(a, 1)
              )
  
              _, params = init_fn(key, input_shape=X0_1.shape)
              X1_1_leaky_relu = apply_leaky_relu(params, X0_1)
              X1_1_ab_relu = apply_ab_relu(params, X0_1)
              self.assertAllClose(X1_1_leaky_relu, X1_1_ab_relu)
  
              kernels_leaky_relu = kernel_fn_leaky_relu(X0_1, X0_2)
              kernels_ab_relu = kernel_fn_ab_relu(X0_1, X0_2)
              self.assertAllClose(kernels_leaky_relu, kernels_ab_relu)
  
imports: import itertools
  import random
  from absl.testing import absltest
  from jax import config
  from jax import default_backend
  from jax import grad, jacfwd, jacrev, jit, jvp, value_and_grad
  from jax import random
  import jax.numpy
  import neural_tangents
  from neural_tangents import stax
  from neural_tangents._src.empirical import _DEFAULT_TESTING_NTK_IMPLEMENTATION
  from tests import test_utils
label_desc: Use image node_id 3 for calling the ABReluTest obj's underlying member method code with example usage: obj.test_leaky_relu(same_inputs, do_stabilize) without return types