code: def _enter_unshard_params_ctx(
      module: nn.Module,
      fsdp_state: _FSDPState,
      writeback: bool = False,
      rank0_only: bool = False,
      offload_to_cpu: bool = False,
      with_grads: bool = False,
  ) -> None:
      """
      state_dict hooks cannot use the pure context call as the checkpoint flow
      requires to enter the context in the pre-hook but leave the context in the
      post-hook. This API enters the context of ``_unshard_fsdp_state_params``.
      """
      assert module not in fsdp_state._unshard_params_ctx, (
          "Entering the ``_unshard_fsdp_state_params`` context but _unshard_params_ctx[module] "
          "is not None."
      )
      fsdp_state._unshard_params_ctx[
          module
      ] = _unshard_fsdp_state_params(
          module,
          fsdp_state,
          writeback=writeback,
          rank0_only=rank0_only,
          offload_to_cpu=offload_to_cpu,
          with_grads=with_grads,
      )
      fsdp_state._unshard_params_ctx[module].__enter__()
  
imports: import contextlib
  import logging
  import math
  import warnings
  from typing import Any, Callable, cast, Dict, Generator, Iterator, no_type_check, Tuple
  import torch
  import torch.distributed
  import torch.distributed.algorithms._checkpoint.checkpoint_wrapper
  import torch.nn
  import torch.nn.functional
  from torch.distributed._shard.sharded_tensor import init_from_local_shards, Shard, ShardedTensor
  from torch.distributed._tensor import DTensor
  from torch.distributed.device_mesh import _mesh_resources
  from torch.distributed.fsdp._common_utils import _FSDPState, _get_module_fsdp_state_if_fully_sharded_module, _has_fsdp_params, _is_composable, _module_handle, clean_tensor_name, FSDP_PREFIX, FSDP_WRAPPED_MODULE
  from torch.distributed.fsdp._debug_utils import SimpleProfiler
  from torch.distributed.fsdp._runtime_utils import _cast_buffers_to_dtype_and_device, _get_orig_buffer_dtypes, _lazy_init, _reset_flat_param_grad_info_if_needed
  from torch.distributed.fsdp.api import FullStateDictConfig, ShardingStrategy, StateDictType
  from torch.distributed.utils import _replace_by_prefix
  from ._fsdp_extensions import _ext_all_gather_dtensor, _ext_chunk_dtensor, _ext_chunk_tensor, _ext_post_unflatten_transform, _ext_pre_load_state_dict_transform
  from ._unshard_param_utils import _unshard_fsdp_state_params, FLAT_PARAM
label_desc: Use image node_id 4 for calling a global function with example usage: _enter_unshard_params_ctx(module, fsdp_state, writeback, rank0_only, offload_to_cpu, with_grads) without return types