code: def test_constant_memory(device, requires_grad):
      """Checks that when updating a metric the memory does not increase."""
      if not torch.cuda.is_available() and device == "cuda":
          pytest.skip("Test requires GPU support")
  
      def get_memory_usage():
          if device == "cpu":
              pid = os.getpid()
              py = psutil.Process(pid)
              return py.memory_info()[0] / 2.0**30
  
          return torch.cuda.memory_allocated()
  
      x = torch.randn(10, requires_grad=requires_grad, device=device)
  
      # try update method
      metric = DummyMetricSum().to(device)
  
      metric.update(x.sum())
  
      # we allow for 5% flucturation due to measuring
      base_memory_level = 1.05 * get_memory_usage()
  
      for _ in range(10):
          metric.update(x.sum())
          memory = get_memory_usage()
          assert (
              base_memory_level >= memory
          ), "memory increased above base level"
  
      # try forward method
      metric = DummyMetricSum().to(device)
      metric(x.sum())
  
      # we allow for 5% flucturation due to measuring
      base_memory_level = 1.05 * get_memory_usage()
  
      for _ in range(10):
          metric.update(x.sum())
          memory = get_memory_usage()
          assert (
              base_memory_level >= memory
          ), "memory increased above base level"
  
imports: import os
  import pickle
  from collections import OrderedDict
  from typing import Any
  from unittest.mock import Mock
  import cloudpickle
  import numpy
  import psutil
  import pytest
  import torch
  from torch import Tensor, tensor
  from torch.nn import Module, Parameter
  from torchmetrics.classification import BinaryAccuracy
  from torchmetrics.regression import PearsonCorrCoef
  from unittests.helpers import seed_all
  from unittests.helpers.testers import DummyListMetric, DummyMetric, DummyMetricMultiOutput, DummyMetricSum
  from unittests.helpers.utilities import no_warning_call
label_desc: Use image node_id 23 for calling a global function with example usage: test_constant_memory(device, requires_grad) and returns: torch, unknown