class_docstr: Test cases for unary operators.
class_docstr_tok: ["Test","cases","for","unary","operators","."]
code: def testBiasAddGrad(self):
      self._assertOpOutputMatchesExpected(
          gen_nn_ops.bias_add_grad,
          np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32),
          expected=np.array([4.0, 6.0], dtype=np.float32),
      )
  
      self._assertOpOutputMatchesExpected(
          lambda x: gen_nn_ops.bias_add_grad(x, data_format="NCHW"),
          np.array(
              [[[1.0, 2.0], [3.0, 4.0]], [[5.0, 6.0], [7.0, 8.0]]],
              dtype=np.float32,
          ),
          expected=np.array([14.0, 22.0], dtype=np.float32),
      )
  
imports: import platform
  import unittest
  import numpy
  import six
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import bitwise_ops
  from tensorflow.python.ops import gen_functional_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 17 for calling the UnaryOpsTest obj's underlying member method code with example usage: obj.testBiasAddGrad() without return types