code: def __call__(
      self, module: _torch.nn.Module, incompatible_keys: _NamedTuple
  ) -> None:
      if hasattr(module, "pruning_method"):
          pruning_method: ScheduledBaseDynamicPruningMethod = (
              module.pruning_method
          )
          assert hasattr(pruning_method, "_tensor_name"), (
              f"state_dict cannot be loaded. Attribute _tensor_name "
              f"missing from pruning forward hook installed on the "
              f"module: {module}"
          )
          assert hasattr(pruning_method, self._scheduled_value_name), (
              f"state_dict cannot be loaded. Attribute {self._scheduled_value_name} "
              f"missing from pruning forward hook installed on the module {module}"
          )
          scheduled_value_buffer_name = f"{pruning_method._tensor_name}_{self._scheduled_value_name}"
          assert hasattr(module, scheduled_value_buffer_name), (
              f"state_dict cannot be loaded. Buffer {scheduled_value_buffer_name} "
              f"missing from module: {module}"
          )
          scheduled_value = getattr(module, scheduled_value_buffer_name)
          # set pruning method amount to be the same as the value from state dict
          if isinstance(scheduled_value, _torch.Tensor):
              scheduled_value = scheduled_value.data.item()
          setattr(
              pruning_method,
              self._scheduled_value_name,
              scheduled_value,
          )
  
imports: import logging
  import types
  from typing import Any
  from typing import Dict
  from typing import NamedTuple
  from typing import Optional
  from typing import cast
  import numpy
  import torch
  import torch.nn.utils.prune
  import torch.utils.hooks
  from coremltools.optimize.torch._typing import ParamsDict
  from coremltools.optimize.torch._utils.state_dict_utils import LoadStateDictPostHook
  from coremltools.optimize.torch.pruning._utils import block2_sparsity
  from coremltools.optimize.torch.pruning._utils import structured_sparsity
  from coremltools.optimize.torch.pruning._utils import unstructured_sparsity
label_desc: Use image node_id 2 for calling the _SyncScheduledValueLoadStateDictPostHook obj's underlying member method code with example usage: obj.__call__(module, incompatible_keys) without return types