code: def __init__(self, **kwargs):
      super().__init__()
      self._runtime = kwargs.get("runtime", 0)
      self._pass_memory = kwargs.get("pass_memory", 0)
      self._parameters = {
          "fake_param": get_n_byte_tensor(kwargs.get("layer_memory", 0))
      }
  
file_path: opacus/benchmarks/tests/test_benchmark_layer.py
imports: import math
  import time
  import pytest
  import torch
  import torch.nn
  from helpers import get_actual_memory_allocated, get_n_byte_tensor, skipifnocuda
  from benchmarks.benchmark_layer import run_layer_benchmark
  from benchmarks.layers import Layer
  from benchmarks.utils import reset_peak_memory_stats
label_desc: Use image node_id 1 to create a new FakeModule object from inherited base classes: nn with example: obj = FakeModule()