# Copyright (c) 2022 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 import paddle.compat as cpt import paddle.fluid as fluid from paddle.fluid import Program, program_guard from paddle.fluid.framework import _test_eager_guard class TestZerosOpError(unittest.TestCase): def test_errors(self): with program_guard(Program(), Program()): shape = [4] dtype = 'int8' self.assertRaises(TypeError, fluid.layers.zeros, shape, dtype) def test_eager(self): with _test_eager_guard(): self.test_errors() class ApiZerosTest(unittest.TestCase): def test_out(self): with program_guard(Program()): zeros = paddle.zeros(shape=[10], dtype='float64') place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result, ) = exe.run(fetch_list=[zeros]) expected_result = np.zeros(10, dtype='float64') self.assertEqual((result == expected_result).all(), True) with paddle.static.program_guard(Program()): zeros = paddle.zeros(shape=[10], dtype='int64') place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result, ) = exe.run(fetch_list=[zeros]) expected_result = np.zeros(10, dtype='int64') self.assertEqual((result == expected_result).all(), True) with program_guard(Program()): zeros = paddle.zeros(shape=[10], dtype='int64') place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result, ) = exe.run(fetch_list=[zeros]) expected_result = np.zeros(10, dtype='int64') self.assertEqual((result == expected_result).all(), True) with program_guard(Program()): out_np = np.zeros(shape=1, dtype='float32') out = paddle.zeros(shape=[1], dtype='float32') place = paddle.CPUPlace() exe = paddle.static.Executor(place) result = exe.run(fetch_list=[out]) self.assertEqual((result == out_np).all(), True) def test_fluid_out(self): with program_guard(Program()): zeros = fluid.layers.zeros(shape=[10], dtype='int64') place = paddle.CPUPlace() exe = paddle.static.Executor(place) (result, ) = exe.run(fetch_list=[zeros]) expected_result = np.zeros(10, dtype='int64') self.assertEqual((result == expected_result).all(), True) def test_eager(self): with _test_eager_guard(): self.test_out() self.test_fluid_out() class ApiZerosError(unittest.TestCase): def test_errors(self): def test_error1(): with paddle.static.program_guard(fluid.Program()): ones = fluid.layers.zeros(shape=10, dtype='int64') self.assertRaises(TypeError, test_error1) def test_error2(): with paddle.static.program_guard(fluid.Program()): ones = fluid.layers.zeros(shape=[10], dtype='int8') self.assertRaises(TypeError, test_error2) def test_shape_errors(self): with fluid.dygraph.guard(): try: shape = [-1, 5] out = paddle.zeros(shape) except Exception as e: error_msg = str(e) assert error_msg.find("expected to be no less than 0") > 0 def test_eager(self): with _test_eager_guard(): self.test_errors() self.test_shape_errors() if (__name__ == '__main__'): unittest.main()