# 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, 20] out_rows = [0, 4, 5, 20] 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()