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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#pragma once
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#include <ATen/core/Tensor.h>
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#include "paddle/phi/api/include/api.h"
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#include "paddle/phi/common/data_type.h"
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#include "paddle/phi/common/scalar.h"
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namespace at {
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// allclose: Check if two tensors are close to each other
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inline bool allclose(const at::Tensor& self,
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const at::Tensor& other,
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double rtol = 1e-05,
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double atol = 1e-08,
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bool equal_nan = false) {
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// Paddle's allclose returns a Tensor, but PyTorch's allclose returns bool.
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// The allclose kernel always sets output dtype to phi::DataType::BOOL via
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// kernel->OutputAt(0).SetDataType(phi::DataType::BOOL), so we read BOOL
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// directly.
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PaddleTensor result = paddle::experimental::allclose(self._PD_GetInner(),
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other._PD_GetInner(),
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phi::Scalar(rtol),
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phi::Scalar(atol),
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equal_nan);
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auto* result_tensor =
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std::dynamic_pointer_cast<phi::DenseTensor>(result.impl()).get();
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return *result_tensor->data<bool>();
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}
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} // namespace at
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namespace at {
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// Tensor member function implementation
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inline bool Tensor::allclose(const at::Tensor& other,
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double rtol,
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double atol,
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bool equal_nan) const {
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return at::allclose(*this, other, rtol, atol, equal_nan);
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}
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} // namespace at
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