38 lines
1.2 KiB
C++
38 lines
1.2 KiB
C++
/* Copyright (c) 2022 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 "paddle/phi/core/dense_tensor.h"
|
|
|
|
namespace phi {
|
|
|
|
/**
|
|
* @brief Erf Kernel.
|
|
* The equation is:
|
|
* $$
|
|
* f(x) = \frac{2}{\sqrt{\pi}} \int_{0}^{x}e^{- \eta^{2}}d\eta
|
|
* $$
|
|
*
|
|
* The input `x` can carry the LoD (Level of Details) information,
|
|
* or not. And the output shares the LoD information with input `x`.
|
|
* @param ctx device context
|
|
* @param x The input tensor of erf kernel
|
|
* @param out The output tensor of erf kernel
|
|
*/
|
|
template <typename T, typename Context>
|
|
void ErfKernel(const Context& dev_ctx, const DenseTensor& x, DenseTensor* out);
|
|
|
|
} // namespace phi
|