code: def __call__(self, x: jax.Array) -> jax.Array:
      x = self.quantize(x, 8, jnp.uint8)
      print(x.shape, self.qkernel.shape, self.qbias.shape)
      x = jnp.dot(x, self.qkernel, preferred_element_type=jnp.uint16)
      x = (x + self.qbias).astype(jnp.uint32)
      x = self.dequantize(x)
      return x
  
imports: import typing
  from functools import partial
  import jax
  import jax.numpy
  import matplotlib.pyplot
  import numpy
  import optax
  from datasets import load_dataset
  from flax.experimental import nnx
label_desc: Use image node_id 2 for calling the QLinear obj's underlying member method code with example usage: obj.__call__(x) and returns: x