code: def _initialize_from_swapped_fp16_params(
      self,
      aio_handle,
      fp16_partitions_info,
      fp16_num_elems,
      fp16_pinned_buffers,
      fp32_parameters,
  ):
      assert len(fp32_parameters) == len(fp16_partitions_info)
      assert len(fp32_parameters) == len(fp16_num_elems)
      assert all(
          [
              get_accelerator().is_pinned(buffer)
              for buffer in fp16_pinned_buffers
          ]
      )
  
      fp32_swap_paths = self._get_swap_paths(
          parameters=fp32_parameters, num_elems=fp16_num_elems
      )
  
      fp32_pinned_buffers = self.swap_buffer_manager.allocate_all(
          num_elems=self.largest_numel, dtype=self.dtype
      )
  
      fp16_buffer_numel = [buf.numel() for buf in fp16_pinned_buffers]
      assert all(
          [numel >= self.largest_numel for numel in fp16_buffer_numel]
      ), f"numel of fp16 buffers {fp16_buffer_numel} is too small for initializing fp32 params {self.largest_numel}"
  
      fp32_swap_buffers = SwapBufferPool(fp32_pinned_buffers)
      fp16_swap_buffers = SwapBufferPool(fp16_pinned_buffers)
  
      curr_index = 0
      while curr_index < len(fp32_parameters):
          fp16_pinned_tensors = self._swap_in_fp16_params(
              aio_handle=aio_handle,
              fp16_num_elems=fp16_num_elems[curr_index:],
              fp16_partitions_info=fp16_partitions_info[curr_index:],
              fp16_swap_buffers=fp16_swap_buffers,
          )
  
          if dist.get_rank() == 0 and SWAPPER_DEBUG_MODE:
              for i, tensor in enumerate(fp16_pinned_tensors):
                  true_index = curr_index + i
                  logger.info(
                      f"swap_in_fp16_param: fp32_id = {OptimizerSwapper.parameter_id(fp32_parameters[true_index])} index = {true_index} orig_num_elem = {fp16_num_elems[true_index]}, swap_num_elem = {fp16_pinned_tensors[i].numel()}"
                  )
  
          swap_out_count = self._swap_out_fp16_params(
              aio_handle=aio_handle,
              fp32_swap_paths=fp32_swap_paths[curr_index:],
              fp32_swap_buffers=fp32_swap_buffers,
              fp16_pinned_tensors=fp16_pinned_tensors,
          )
          assert swap_out_count == len(
              fp16_pinned_tensors
          ), f"{swap_out_count} does not match {len(fp16_pinned_tensors)}"
  
          fp16_swap_buffers.reset()
          fp32_swap_buffers.reset()
          curr_index += swap_out_count
  
      self.swap_buffer_manager.free(fp32_pinned_buffers)
  
imports: import os
  import torch
  from deepspeed import comm
  from deepspeed.utils.logging import logger
  from deepspeed.runtime.swap_tensor.constants import *
  from deepspeed.runtime.swap_tensor.utils import swap_in_tensors, swap_out_tensors, MIN_AIO_BYTES, AIO_ALIGNED_BYTES, get_sized_buffers
  from deepspeed.runtime.swap_tensor.utils import SwapBufferManager, SwapBufferPool
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 10 for calling the OptimizerSwapper obj's underlying member method code with example usage: obj._initialize_from_swapped_fp16_params(aio_handle, fp16_partitions_info, fp16_num_elems, fp16_pinned_buffers, fp32_parameters) without return types