uniform_random_kernel.h

// 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/scalar_array.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/device_context.h"
#include "paddle/phi/core/selected_rows.h"

namespace phi {

template <typename T, typename Context>
void UniformRandomRawKernel(const Context& dev_ctx,
                            const ScalarArray& shape,
                            DataType dtype,
                            float min,
                            float max,
                            int seed,
                            int diag_num,
                            int diag_step,
                            float diag_val,
                            DenseTensor* out);

template <typename T, typename Context>
void UniformRandomKernel(const Context& dev_ctx,
                         const ScalarArray& shape,
                         DataType dtype,
                         float min,
                         float max,
                         int seed,
                         DenseTensor* out);

template <typename T, typename Context>
void UniformRandomRawSRKernel(const Context& dev_ctx,
                              const ScalarArray& shape,
                              DataType dtype,
                              float min,
                              float max,
                              int seed,
                              int diag_num,
                              int diag_step,
                              float diag_val,
                              SelectedRows* out);

template <typename T, typename Context>
void UniformRandomSRKernel(const Context& dev_ctx,
                           const ScalarArray& shape,
                           DataType dtype,
                           float min,
                           float max,
                           int seed,
                           SelectedRows* out);

}  // namespace phi