code: def test_group_norm_3d(
      self, N, G, D, T, H, W, epsilon, order, gc, dc
  ):
      op = core.CreateOperator(
          "GroupNorm",
          ["X", "gamma", "beta"],
          ["Y", "mean", "inv_std"],
          group=G,
          epsilon=epsilon,
          order=order,
      )
  
      C = G * D
      if order == "NCHW":
          X = np.random.randn(N, C, T, H, W).astype(np.float32) + 1.0
      else:
          X = np.random.randn(N, T, H, W, C).astype(np.float32) + 1.0
      gamma = np.random.randn(C).astype(np.float32)
      beta = np.random.randn(C).astype(np.float32)
      inputs = [X, gamma, beta]
  
      def ref_op(X, gamma, beta):
          if order == "NCHW":
              return self.group_norm_nchw_ref(
                  X, gamma, beta, G, epsilon
              )
          else:
              return self.group_norm_nhwc_ref(
                  X, gamma, beta, G, epsilon
              )
  
      self.assertReferenceChecks(
          device_option=gc,
          op=op,
          inputs=inputs,
          reference=ref_op,
          threshold=5e-3,
      )
      self.assertDeviceChecks(dc, op, inputs, [0, 1, 2])
  
file_path: pytorch/caffe2/python/operator_test/group_norm_op_test.py
imports: from caffe2.python import core
  import caffe2.python.hypothesis_test_util
  import caffe2.python.serialized_test.serialized_test_util
  from hypothesis import given, settings
  import hypothesis.strategies
  import numpy
  import unittest
label_desc: Use image node_id 4 for calling the TestGroupNormOp obj's underlying member method code with example usage: obj.test_group_norm_3d(N, G, D, T, H, W, epsilon, order, gc, dc) and returns: self, self