# 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 import paddle class ApiOnesTest(unittest.TestCase): def test_static_ones(self): paddle.enable_static() with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones(10, dtype=paddle.float32) place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones([10], dtype="float32") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones(10, 2, 3, dtype=paddle.float32) place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones([10, 2, 3], dtype="float32") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones([10, 2, 3], dtype=paddle.float32) place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones([10, 2, 3], dtype="float32") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones(size=[10, 2, 3], dtype=paddle.float32) place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones([10, 2, 3], dtype="float32") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones([10, 2, 3], paddle.float32) place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones([10, 2, 3], dtype="float32") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones([10, 2, 3], paddle.float32) place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones([10, 2, 3], dtype="float32") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones(shape=[10, 2, 3], dtype=paddle.float32) place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones([10, 2, 3], dtype="float32") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones(shape=[10]) place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones(10, dtype="float32") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones(shape=[10], dtype="float64") place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones(10, dtype="float64") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones(shape=[10], dtype="int64") place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones(10, dtype="int64") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones(shape=10, dtype="int64") place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones(10, dtype="int64") np.testing.assert_equal(result, expect) with paddle.static.program_guard(paddle.static.Program()): ones = paddle.ones(shape=10, dtype=paddle.long) place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result,) = exe.run(fetch_list=[ones]) expect = np.ones(10, dtype="int64") np.testing.assert_equal(result, expect) paddle.disable_static() def test_dygraph_ones(self): paddle.disable_static() result = paddle.ones(10, dtype=paddle.float32) expect = np.ones([10], dtype="float32") np.testing.assert_equal(result, expect) result = paddle.ones(10, 2, 3, dtype=paddle.float32) expect = np.ones([10, 2, 3], dtype="float32") np.testing.assert_equal(result, expect) result = paddle.ones([10, 2, 3], dtype=paddle.float32) np.testing.assert_equal(result, expect) result = paddle.ones(size=[10, 2, 3], dtype=paddle.float32) np.testing.assert_equal(result, expect) result = paddle.ones([10, 2, 3], paddle.float32) np.testing.assert_equal(result, expect) result = paddle.ones([10, 2, 3], "float32") np.testing.assert_equal(result, expect) result = paddle.ones(shape=[10, 2, 3], dtype=paddle.float32) np.testing.assert_equal(result, expect) if __name__ == "__main__": unittest.main()