code: def __call__(self, x):
      y = tf.matmul(x, self.w) / x.shape[-1] ** 0.5 + self.b
      return tf.nn.relu(y)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import jax
  from jax import numpy
  import neural_tangents
  from neural_tangents import experimental
  import numpy
  import tensorflow
label_desc: Use image node_id 2 for calling the _Dense obj's underlying member method code with example usage: obj.__call__(x) and returns: tf