# 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 numpy as np from op_test import OpTest import paddle.fluid.core as core from paddle.fluid.op import Operator class TestFillConstantOp1(OpTest): def setUp(self): '''Test fill_constant op with specified value ''' self.op_type = "fill_constant" self.inputs = {} self.attrs = {'shape': [123, 92], 'value': 3.8} self.outputs = {'Out': np.full((123, 92), 3.8)} def test_check_output(self): self.check_output() class TestFillConstantOp2(OpTest): def setUp(self): '''Test fill_constant op with default value ''' self.op_type = "fill_constant" self.inputs = {} self.attrs = {'shape': [123, 92]} self.outputs = {'Out': np.full((123, 92), 0.0)} def test_check_output(self): self.check_output() class TestFillConstantOpWithSelectedRows(OpTest): def check_with_place(self, place): scope = core.Scope() # create Out Variable out = scope.var('Out').get_selected_rows() # create and run fill_constant_op operator fill_constant_op = Operator( "fill_constant", shape=[123, 92], value=3.8, Out='Out') fill_constant_op.run(scope, place) # get result from Out result_array = np.array(out) self.assertEqual(result_array, np.full((123, 92), 3.8)) def test_fill_constant_with_selected_rows(self): places = [core.CPUPlace()] # currently only support CPU for place in places: self.check_with_place(place) if __name__ == "__main__": unittest.main()