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.
  
  from __future__ import print_function
  
  import unittest
  import paddle.fluid.core as core
  import numpy as np
  from paddle.fluid.op import Operator
  
  
  class TestMergeSelectedRows(unittest.TestCase):
      def get_places(self):
          places = [core.CPUPlace()]
          if core.is_compiled_with_cuda():
              places.append(core.CUDAPlace(0))
          return places
  
      def check_with_place(self, place):
          scope = core.Scope()
          x_rows = [0, 5, 5, 4, 19]
          out_rows = [0, 4, 5, 19]
          height = 20
          row_numel = 2
  
          np_array = np.ones((len(x_rows), row_numel)).astype("float32")
          np_array[1, :] = 2.0
          np_array[2, :] = 3.0
          np_array[3, :] = 4.0
  
          # initialize input variable X
          x = scope.var('X').get_selected_rows()
          x.set_rows(x_rows)
          x.set_height(height)
          x_tensor = x.get_tensor()
          x_tensor.set(np_array, place)
  
          # initialize input variable Out
          out = scope.var("Out").get_selected_rows()
  
          op = Operator("merge_selected_rows", X="X", Out="Out")
  
          op.run(scope, place)
  
          self.assertEqual(out.rows(), out_rows)
          self.assertEqual(out.height(), height)
  
          out_array = np.array(out.get_tensor())
          self.assertEqual((4, 2), out_array.shape)
  
          assert (out_array[0, :] == 1.0).all()
          assert (out_array[1, :] == 4.0).all()
          assert (out_array[2, :] == 5.0).all()
          assert (out_array[3, :] == 1.0).all()
  
      def test_check_output(self):
          for place in self.get_places():
              self.check_with_place(place)
  
  
  if __name__ == "__main__":
      unittest.main()
  