code: def test_multibatch_input_conv(self, use_bias):
      rng = dict(params=random.key(0))
      x = jnp.ones((2, 5, 8, 3))
      conv_module = nn.Conv(
          features=4,
          use_bias=use_bias,
          kernel_size=(3,),
          padding="VALID",
          kernel_init=initializers.ones,
          bias_init=initializers.ones,
      )
      y, initial_params = conv_module.init_with_output(rng, x)
      self.assertEqual(
          initial_params["params"]["kernel"].shape, (3, 3, 4)
      )
      expected = 10.0 if use_bias else 9.0
      np.testing.assert_allclose(y, np.full((2, 5, 6, 4), expected))
  
imports: import functools
  import jax
  import jax.numpy
  import numpy
  from absl.testing import absltest, parameterized
  from jax import random
  from jax.nn import initializers
  from flax import linen
label_desc: Use image node_id 13 for calling the LinearTest obj's underlying member method code with example usage: obj.test_multibatch_input_conv(use_bias) without return types