code: def quantize(
      self, x: jax.Array, b: int, dtype: jnp.dtype
  ) -> jax.Array:
      return jnp.clip(
          diff_round(x / self.scale) + self.zero_point, 0, 2**b - 1
      ).astype(dtype)
  
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 3 for calling the QLinear obj's underlying member method code with example usage: obj.quantize(x, b, dtype) and returns: jnp