# 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 from op_test import OpTest class TestAllcloseOp(OpTest): def set_args(self): self.input = np.array([10000., 1e-07]).astype("float32") self.other = np.array([10000.1, 1e-08]).astype("float32") self.rtol = 1e-05 self.atol = 1e-08 self.equal_nan = False def setUp(self): self.set_args() self.op_type = "allclose" self.inputs = {'Input': self.input, 'Other': self.other} self.attrs = { 'rtol': self.rtol, 'atol': self.atol, 'equal_nan': self.equal_nan } self.outputs = { 'Out': np.array([ np.allclose( self.inputs['Input'], self.inputs['Other'], rtol=self.rtol, atol=self.atol, equal_nan=self.equal_nan) ]) } def test_check_output(self): self.check_output() class TestAllcloseOpSmallNum(TestAllcloseOp): def set_args(self): self.input = np.array([10000., 1e-08]).astype("float32") self.other = np.array([10000.1, 1e-09]).astype("float32") self.rtol = 1e-05 self.atol = 1e-08 self.equal_nan = False class TestAllcloseOpNanFalse(TestAllcloseOp): def set_args(self): self.input = np.array([1.0, float('nan')]).astype("float32") self.other = np.array([1.0, float('nan')]).astype("float32") self.rtol = 1e-05 self.atol = 1e-08 self.equal_nan = False class TestAllcloseOpNanTrue(TestAllcloseOp): def set_args(self): self.input = np.array([1.0, float('nan')]).astype("float32") self.other = np.array([1.0, float('nan')]).astype("float32") self.rtol = 1e-05 self.atol = 1e-08 self.equal_nan = True if __name__ == "__main__": unittest.main()