code: def test_mkl_fill(self, n, c, h, w, filler, seed, gc, dc):
      op = core.CreateOperator(
          filler,
          [],
          ["Y"],
          shape=[n, c, h, w],
      )
      for d in dc:
          d.random_seed = seed
      self.assertDeviceChecks(dc, op, [], [0])
  
file_path: pytorch/caffe2/python/mkl/mkl_fill_op_test.py
imports: import unittest
  import hypothesis.strategies
  from hypothesis import given
  from caffe2.python import core, workspace
  import caffe2.python.hypothesis_test_util
  import caffe2.python.mkl_test_util
label_desc: Use image node_id 1 for calling the MKLFillTest obj's underlying member method code with example usage: obj.test_mkl_fill(n, c, h, w, filler, seed, gc, dc) without return types