code: def _reshape_to_time_space(x, temporal_dims):
      if x.ndim == 3:
          b, thw, d = x.shape
          assert thw % temporal_dims == 0
          hw = thw // temporal_dims
          x = jnp.reshape(x, [b, temporal_dims, hw, d])
      assert x.ndim == 4
      return x
  
imports: import functools
  from typing import Any, Callable, Dict, Optional, Sequence, Tuple
  from absl import logging
  import flax.linen
  from flax.linen.linear import default_kernel_init
  from immutabledict import immutabledict
  import jax
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.model_lib.base_models import base_model
  from scenic.model_lib.base_models import classification_model
  from scenic.model_lib.base_models import model_utils
  from scenic.model_lib.base_models.classification_model import ClassificationModel
  from scenic.model_lib.layers import attention_layers
  from scenic.model_lib.layers import nn_layers
  from scenic.projects.baselines import vit
  from scenic.projects.mbt import model_utils
label_desc: Use image node_id 1 for calling a global function with example usage: _reshape_to_time_space(x, temporal_dims) and returns: x