chore: import upstream snapshot with attribution
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// Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <ATen/Functions.h>
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#include <ATen/core/TensorBody.h>
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#include <ATen/cuda/CUDAContext.h>
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#include <ATen/ops/equal.h>
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#include <ATen/ops/tensor.h>
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#include <c10/core/Device.h>
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#include <c10/core/ScalarType.h>
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#include <c10/core/TensorOptions.h>
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#include "gtest/gtest.h"
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TEST(TensorEqualTest, DifferentShapeReturnsFalse) {
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at::Tensor a = at::ones({2, 2}, at::kFloat);
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at::Tensor b = at::ones({2, 3}, at::kFloat);
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ASSERT_FALSE(at::equal(a, b));
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ASSERT_FALSE(a.equal(b));
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}
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TEST(TensorEqualTest, DtypeMismatchCastsOtherTensor) {
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at::Tensor a = at::tensor({1.0f, 2.0f, 3.0f}, at::kFloat);
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at::Tensor b = at::tensor({1, 2, 3}, at::kInt);
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ASSERT_TRUE(at::equal(a, b));
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ASSERT_TRUE(a.equal(b));
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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TEST(TensorEqualTest, DeviceMismatchThrows) {
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if (!at::cuda::is_available()) {
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return;
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}
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at::Tensor cpu = at::ones({2, 2}, at::kFloat);
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at::Tensor gpu =
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at::ones({2, 2}, at::TensorOptions().dtype(at::kFloat).device(at::kCUDA));
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ASSERT_THROW((void)at::equal(cpu, gpu), std::exception);
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}
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#endif
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