// 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/common/int_array.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/device_context.h"

namespace phi {

template <typename T, typename Context>
PADDLE_API void GaussianKernel(const Context& dev_ctx,
                               const IntArray& shape,
                               double mean,
                               double std,
                               int seed,
                               DataType dtype,
                               DenseTensor* out);

template <typename T, typename Context>
void GaussianInplaceKernel(const Context& dev_ctx,
                           const DenseTensor& x,
                           float mean,
                           float std,
                           int seed,
                           DenseTensor* out);

}  // namespace phi