code: def simple_gather(x: jnp.ndarray, idx: jnp.ndarray) -> jnp.ndarray:
      """Gathers `x` using the indices in `idx`.
  
      `output[i] = x[i, idx[i]]` . This simple gather operation assumes that the
      first dimension is the batch dimension. The indices index into the second
      dimension. The rest of the dimensions are copied as is from `x` into output.
      Note that the implementation below only handles a single element in the batch.
      `jax.vmap` extends this to the batch dimension.
  
      Args:
        x: Inputs of shape [bs, n, d].
        idx: An array of shape [bs, m] and dtype jnp.int32 or int64 that specifies
          indexes we want to gather from x.
  
      Returns:
        Gathered output of shape [bs, m, d].
      """
      return x[idx]
  
imports: import functools
  from typing import Optional, Any, Tuple, Union
  import flax.linen
  import jax
  import jax.numpy
  import numpy
label_desc: Use image node_id 23 for calling a global function with example usage: simple_gather(x, idx) and returns: x