/* Copyright (c) 2021 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/meta_tensor.h"

namespace phi {

// Common InferMeta Functions for 0-nary operators(no input tensor), The format
// like:
//
//   1. void [FunctionDesc|OpName]InferMeta(..., MetaTensor* out)
//
// NOTE: The name "InferShape" may be not appropriate. "InferMeta" may be good.
//   Because functions in this file not only can infer shape, but also need
//   infer lod or other useful data.
//
// The InferMeta Functions in this file are arranged in alphabetic order.

void AssignValueInferMeta(const std::vector<int>& shape,
                          DataType dtype,
                          MetaTensor* out);

void CreateInferMeta(const IntArray& shape, DataType dtype, MetaTensor* out);

void CreateInferMetaBase(const std::vector<int64_t>& shape,
                         DataType dtype,
                         DataLayout layout,
                         MetaTensor* out);

void EyeInferMeta(int64_t num_rows,
                  int64_t num_columns,
                  DataType dtype,
                  MetaTensor* out);

void GaussianRandomInferMeta(const IntArray& shape,
                             float mean,
                             float std,
                             int seed,
                             DataType dtype,
                             MetaTensor* out);

void RandpermInferMeta(int n, DataType dtype, MetaTensor* out);

void RandintInferMeta(
    int low, int high, const IntArray& shape, DataType dtype, MetaTensor* out);

void TruncatedGaussianRandomInferMeta(const std::vector<int>& shape,
                                      float mean,
                                      float std,
                                      int seed,
                                      DataType dtype,
                                      MetaTensor* out);

void UniformRandomInferMeta(const IntArray& shape,
                            DataType dtype,
                            float min,
                            float max,
                            int seed,
                            MetaTensor* out);

}  // namespace phi