code: def test_relu(self, X, inplace, gc, dc):
      op = core.CreateOperator(
          "Relu",
          ["X"],
          ["Y"] if not inplace else ["X"],
      )
      # go away from the origin point to avoid kink problems
      X += 0.02 * np.sign(X)
      X[X == 0.0] += 0.02
  
      self.assertDeviceChecks(dc, op, [X], [0])
  
      self.assertGradientChecks(gc, op, [X], 0, [0])
  
file_path: pytorch/caffe2/python/ideep/relu_op_test.py
imports: import unittest
  import hypothesis.strategies
  from hypothesis import given, settings
  import numpy
  from caffe2.proto import caffe2_pb2
  from caffe2.python import core, workspace
  import caffe2.python.hypothesis_test_util
  import caffe2.python.ideep_test_util
label_desc: Use image node_id 1 for calling the ReluTest obj's underlying member method code with example usage: obj.test_relu(X, inplace, gc, dc) without return types