# Copyright (c) 2023 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 def ref_logaddexp_old(x, y): y = np.broadcast_to(y, x.shape) out = np.log1p(np.exp(-np.absolute(x - y))) + np.maximum(x, y) return out def ref_logaddexp(x, y): return np.logaddexp(x, y) class TestLogsumexpAPI(unittest.TestCase): def setUp(self): self.place = ( paddle.CUDAPlace(0) if paddle.fluid.core.is_compiled_with_cuda() else paddle.CPUPlace() ) def api_case(self): self.x = np.random.uniform(-1, 1, self.xshape).astype(self.dtype) self.y = np.random.uniform(-1, 1, self.yshape).astype(self.dtype) out_ref = ref_logaddexp(self.x, self.y) # paddle.disable_static(self.place) x = paddle.to_tensor(self.x) y = paddle.to_tensor(self.y) out = paddle.logaddexp(x, y) np.testing.assert_allclose(out.numpy(), out_ref, atol=1e-06) def test_api(self): self.xshape = [1, 2, 3, 4] self.yshape = [1, 2, 3, 4] self.dtype = np.float64 self.api_case() def test_api_broadcast(self): self.xshape = [1, 2, 3, 4] self.yshape = [1, 2, 3, 1] self.dtype = np.float32 self.api_case() def test_api_bigdata(self): self.xshape = [10, 200, 300] self.yshape = [10, 200, 300] self.dtype = np.float32 self.api_case() if __name__ == '__main__': unittest.main()