code: def profile(
      model: nn.Module,
      batchsize_per_replica: int = 32,
      input_shape: Tuple[int] = (3, 224, 224),
      use_nvprof: bool = False,
      input_key: Optional[Union[str, List[str]]] = None,
  ):
      """
      Performs CPU or GPU profiling of the specified model on the specified input.
      """
      # assertions:
      if use_nvprof:
          raise ClassyProfilerError(
              "Profiling not supported with nvprof"
          )
          # FIXME (mannatsingh): in case of use_nvprof, exit() is called at the end
          # and we do not return a profile.
          assert is_on_gpu(
              model
          ), "can only nvprof model that lives on GPU"
          logging.info(
              "CUDA profiling: Make sure you are running under nvprof!"
          )
  
      # input for model:
      input = get_model_dummy_input(
          model,
          input_shape,
          input_key,
          batchsize=batchsize_per_replica,
          non_blocking=False,
      )
      # perform profiling in eval mode
      with eval_model(model), torch.no_grad():
          model(input)  # warm up CUDA memory allocator and profiler
          if use_nvprof:  # nvprof profiling (TODO: Can we infer this?)
              cudart().cudaProfilerStart()
              model(input)
              cudart().cudaProfilerStop()
              exit()  # exit gracefully
          else:  # regular profiling
              with torch.autograd.profiler.profile(
                  use_cuda=True
              ) as profiler:
                  model(input)
                  return profiler
  
imports: import collections.abc
  import logging
  import operator
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import torch
  import torch.nn
  from classy_vision.generic.util import eval_model, get_batchsize_per_replica, get_model_dummy_input, is_leaf, is_on_gpu
  from torch.cuda import cudart
label_desc: Use image node_id 1 for calling a global function with example usage: profile(model, batchsize_per_replica, input_shape, use_nvprof, input_key) and returns: profiler