code: def test_glorot_normal_initializer(self):
      shape = (5, 6, 4, 2)
      with self.cached_session():
          for tensor_shape in [
              shape,
              tensor_shape_lib.TensorShape(shape),
          ]:
              fan_in, fan_out = init_ops._compute_fans(tensor_shape)
              std = np.sqrt(2.0 / (fan_in + fan_out))
              self._runner(
                  init_ops.glorot_normal_initializer(seed=123),
                  tensor_shape,
                  target_mean=0.0,
                  target_std=std,
              )
  
imports: import numpy
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the InitializersTest obj's underlying member method code with example usage: obj.test_glorot_normal_initializer() without return types