// Copyright (c) 2026 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. #include #include #include #include #include #include #include #include #include "gtest/gtest.h" TEST(TensorEqualTest, DifferentShapeReturnsFalse) { at::Tensor a = at::ones({2, 2}, at::kFloat); at::Tensor b = at::ones({2, 3}, at::kFloat); ASSERT_FALSE(at::equal(a, b)); ASSERT_FALSE(a.equal(b)); } TEST(TensorEqualTest, DtypeMismatchCastsOtherTensor) { at::Tensor a = at::tensor({1.0f, 2.0f, 3.0f}, at::kFloat); at::Tensor b = at::tensor({1, 2, 3}, at::kInt); ASSERT_TRUE(at::equal(a, b)); ASSERT_TRUE(a.equal(b)); } #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) TEST(TensorEqualTest, DeviceMismatchThrows) { if (!at::cuda::is_available()) { return; } at::Tensor cpu = at::ones({2, 2}, at::kFloat); at::Tensor gpu = at::ones({2, 2}, at::TensorOptions().dtype(at::kFloat).device(at::kCUDA)); ASSERT_THROW((void)at::equal(cpu, gpu), std::exception); } #endif