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/ops/tensor.h>
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#include <c10/core/ScalarType.h>
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#include <c10/core/TensorOptions.h>
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#include "ATen/ATen.h"
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#include "gtest/gtest.h"
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#include "torch/all.h"
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// ======================== register_hook tests ========================
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TEST(TensorHookTest, RegisterHookThrows) {
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// register_hook should throw exception as Paddle doesn't support hooks
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at::Tensor t = at::arange(6, at::kFloat).reshape({2, 3});
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auto hook = [](const at::Tensor& grad) { return grad; };
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EXPECT_THROW(t.register_hook(hook), std::runtime_error);
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}
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TEST(TensorHookTest, RegisterHookWithLambda) {
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at::Tensor t = at::arange(6, at::kFloat).reshape({2, 3});
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// Lambda that captures nothing
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EXPECT_THROW(t.register_hook([](const at::Tensor&) { return at::Tensor(); }),
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std::runtime_error);
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}
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TEST(TensorHookTest, RegisterHookWithMoveOnly) {
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at::Tensor t = at::arange(6, at::kFloat).reshape({2, 3});
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// Move-only lambda
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EXPECT_THROW(
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t.register_hook([](const at::Tensor&) mutable { return at::Tensor(); }),
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std::runtime_error);
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}
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