code: def T(
      *size, dtype=torch.float32, device=DEVICE, grad=False
  ) -> torch.Tensor:
      return torch.randn(
          size, dtype=dtype, device=device, requires_grad=grad
      )
  
imports: import torch
  from torch._inductor import metrics
  from torch._inductor.compile_fx import compile_fx, count_bytes_inner
  from torch.testing._internal.common_utils import TestCase
  from torch.testing._internal.inductor_utils import HAS_CUDA
label_desc: Use image node_id 3 for calling a global function with example usage: T() and returns: torch