code: def merge_leading_dims(x, num_dims):
      """Merge leading dimensions."""
      # Don't merge if there aren't dimensions to merge.
      if not ndim_at_least(x, num_dims):
          return x
  
      # TODO(tomhennigan) Pass dtype here to account for empty slices.
      new_shape = (np.prod(x.shape[:num_dims]),) + x.shape[num_dims:]
      return x.reshape(new_shape)
  
imports: from collections.abc import Iterable, Sequence
  import functools
  from typing import Any, Callable, Optional
  from haiku._src import base
  from haiku._src import initializers
  from haiku._src import module
  from haiku._src import typing
  from haiku._src.typing import PRNGKey
  import jax
  from jax import lax
  import jax.numpy
  import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: merge_leading_dims(x, num_dims) and returns: x, x