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