code: def _init_linear_weights(self, m):
      if type(m) == nn.Linear:
          m.weight.fill_(1.0)
          m.bias.fill_(1.0)
  
file_path: pytorch/test/distributed/fsdp/test_fsdp_apply.py
imports: import sys
  import torch
  import torch.distributed
  import torch.nn
  from torch.distributed.fsdp import FullyShardedDataParallel
  from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
  from torch.testing._internal.common_fsdp import CUDAInitMode, FSDPInitMode, FSDPTest, NestedWrappedModule, TransformerWithSharedParams
  from torch.testing._internal.common_utils import run_tests, TEST_WITH_DEV_DBG_ASAN
label_desc: Use image node_id 2 for calling the TestApply obj's underlying member method code with example usage: obj._init_linear_weights(m) without return types