code: def vanilla_depthwise(input, weight):
      ret = torch.zeros(out_channel, width - kernel_size + 1)
      for j in range(out_channel):
          for i in range(width - kernel_size + 1):
              for k in range(kernel_size):
                  ret[j, i] += weight[j, k] * input[j, i + k]
      return ret
  
file_path: tvm/gallery/how_to/work_with_pytorch/using_as_torch.py
imports: import torch
  import torch.nn.functional
  import torch.utils.benchmark
  import tvm
  from tvm.contrib.torch import as_torch
  from tvm.script import tir
label_desc: Use image node_id 2 for calling a global function with example usage: vanilla_depthwise(input, weight) and returns: ret