text: #   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import unittest
  import numpy as np
  from op_test import OpTest
  
  
  class TestLodResetOpByAttr(OpTest):
      def setUp(self):
          self.op_type = "lod_reset"
          x = np.random.random((10, 20)).astype("float32")
          lod = [[0, 3, 5, 10]]
          target_lod_0 = [0, 7, 10]
          self.inputs = {'X': (x, lod)}
          self.attrs = {'target_lod': target_lod_0}
          self.outputs = {'Out': (x, [target_lod_0])}
  
      def test_check_output(self):
          self.check_output()
  
      def test_check_grad(self):
          self.check_grad(["X"], "Out")
  
  
  class TestLodResetOpByInput(OpTest):
      def setUp(self):
          self.op_type = "lod_reset"
          x = np.random.random((10, 20)).astype("float32")
          lod = [[0, 3, 5, 10]]
          target_lod_0 = [0, 4, 7, 10]
          self.inputs = {
              'X': (x, lod),
              'TargetLoD': np.array([target_lod_0]).astype('int32')
          }
          self.outputs = {'Out': (x, [target_lod_0])}
  
      def test_check_output(self):
          self.check_output()
  
      def test_check_grad(self):
          self.check_grad(["X"], "Out", no_grad_set=set("TargetLoD"))
  
  
  class TestLodResetOpBoth(OpTest):
      def setUp(self):
          self.op_type = "lod_reset"
          x = np.random.random((10, 20)).astype("float32")
          lod = [[0, 3, 5, 10]]
          target_lod_0_attr = [0, 7, 10]
          target_lod_0_in = [0, 4, 7, 10]
          self.inputs = {
              'X': (x, lod),
              'TargetLoD': np.array(target_lod_0_in).astype('int32')
          }
          self.attrs = {'target_lod': target_lod_0_attr}
          self.outputs = {'Out': (x, [target_lod_0_in])}
  
      def test_check_output(self):
          self.check_output()
  
      def test_check_grad(self):
          self.check_grad(["X"], "Out", no_grad_set=set("TargetLoD"))
  
  
  if __name__ == '__main__':
      unittest.main()
  