unary.h 9.6 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
/* 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

// See Note [ Why still include the fluid headers? ]
18 19 20
#include "paddle/phi/common/scalar.h"
#include "paddle/phi/common/scalar_array.h"
#include "paddle/phi/core/meta_tensor.h"
21

22
namespace phi {
23

24 25
class MetaConfig;

26
// Common InferMeta Functions for unary operators, The format like:
27
//
28 29
//   void [FunctionDesc|OpName]InferMeta(const MetaTensor& x, ..., MetaTensor*
//   out) {}
30 31 32 33
//
// 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.
34 35
//
// The InferMeta Functions in this file are arranged in alphabetic order.
36

Z
zyfncg 已提交
37 38 39 40 41 42 43 44
void ArgMinMaxInferMeta(const MetaTensor& x,
                        int64_t axis,
                        bool keepdims,
                        bool flatten,
                        int dtype,
                        MetaTensor* out,
                        MetaConfig config = MetaConfig());

L
Linjie Chen 已提交
45 46 47 48 49 50
void ArgsortInferMeta(const MetaTensor& input,
                      int axis,
                      bool descending,
                      MetaTensor* output,
                      MetaTensor* indices);

51
void CastInferMeta(const MetaTensor& x, DataType out_dtype, MetaTensor* out);
52

53 54
void CholeskyInferMeta(const MetaTensor& x, bool upper, MetaTensor* out);

55 56 57 58 59
void CopyToInferMeta(const MetaTensor& x,
                     Backend backend,
                     bool blocking,
                     MetaTensor* out);

60
void CreateLikeInferMeta(const MetaTensor& x, DataType dtype, MetaTensor* out);
61

62 63 64 65 66 67 68
void CumsumInferMeta(const MetaTensor& x,
                     int axis,
                     bool flatten,
                     bool exclusive,
                     bool reverse,
                     MetaTensor* out);

Z
zyfncg 已提交
69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92
void DiagInferMeta(const MetaTensor& x,
                   int offset,
                   float padding_value,
                   MetaTensor* out);

void DiagonalInferMeta(
    const MetaTensor& input, int offset, int axis1, int axis2, MetaTensor* out);

void EighInferMeta(const MetaTensor& x,
                   const std::string& uplo,
                   MetaTensor* out_w,
                   MetaTensor* out_v);

void FlattenInferMeta(const MetaTensor& x,
                      int start_axis,
                      int stop_axis,
                      MetaTensor* out);

void GumbelSoftmaxInferMeta(const MetaTensor& x,
                            float temperature,
                            bool hard,
                            int axis,
                            MetaTensor* out);

93 94
void IncrementInferMeta(const MetaTensor& x, float value, MetaTensor* out);

95 96 97
void InferMetaFromVecValue(const MetaTensor& x,
                           const std::vector<int64_t>& shape,
                           MetaTensor* out);
98

W
WJJ1995 已提交
99 100
void IsEmptyInferMeta(const MetaTensor& x, MetaTensor* out);

Z
zyfncg 已提交
101 102
void IsfiniteInferMeta(const MetaTensor& input, MetaTensor* out);

103 104
void MatrixPowerInferMeta(const MetaTensor& x, int n, MetaTensor* out);

F
From00 已提交
105 106 107 108 109 110 111 112 113 114
void MaxPoolWithIndexInferMeta(const MetaTensor& x,
                               const std::vector<int>& kernel_size,
                               const std::vector<int>& strides,
                               const std::vector<int>& paddings,
                               bool global_pooling,
                               bool adaptive,
                               MetaTensor* out,
                               MetaTensor* mask,
                               MetaConfig config = MetaConfig());

115 116 117 118 119 120
void ModeInferMeta(const MetaTensor& x,
                   int axis,
                   bool keepdim,
                   MetaTensor* out,
                   MetaTensor* indices);

121 122 123 124 125
void MultinomialInferMeta(const MetaTensor& x,
                          int num_samples,
                          bool replacement,
                          MetaTensor* out);

Z
zyfncg 已提交
126 127 128 129 130 131 132 133 134 135 136
void PadInferMeta(const MetaTensor& input,
                  const std::vector<int>& paddings,
                  float pad_value,
                  MetaTensor* out,
                  MetaConfig config = MetaConfig());

void PixelShuffleInferMeta(const MetaTensor& x,
                           int upscale_factor,
                           const std::string& data_format,
                           MetaTensor* out);

F
From00 已提交
137 138 139 140 141 142 143 144 145 146 147 148 149 150
void PoolInferMeta(const MetaTensor& x,
                   const std::vector<int>& kernel_size,
                   const std::vector<int>& strides,
                   const std::vector<int>& paddings,
                   bool ceil_mode,
                   bool exclusive,
                   const std::string& data_format,
                   const std::string& pooling_type,
                   bool global_pooling,
                   bool adaptive,
                   const std::string& padding_algorithm,
                   MetaTensor* out,
                   MetaConfig config = MetaConfig());

Z
zyfncg 已提交
151 152 153 154 155 156 157 158 159 160 161 162 163
void RealAndImagInferMeta(const MetaTensor& x, MetaTensor* out);

void ReduceInferMeta(const MetaTensor& x,
                     const std::vector<int64_t>& axis,
                     bool keep_dim,
                     MetaTensor* out);

void ReduceInferMetaBase(const MetaTensor& x,
                         const std::vector<int64_t>& axis,
                         bool keep_dim,
                         bool reduce_all,
                         MetaTensor* out);

164 165
void ReshapeInferMeta(const MetaTensor& x,
                      const ScalarArray& shape,
166 167 168 169 170 171 172 173
                      MetaTensor* out,
                      MetaConfig config = MetaConfig());

void ReshapeWithXShapeInferMeta(const MetaTensor& x,
                                const ScalarArray& shape,
                                MetaTensor* xshape,
                                MetaTensor* out,
                                MetaConfig config = MetaConfig());
174

C
chenenquan 已提交
175 176 177 178 179
void RollInferMeta(const MetaTensor& x,
                   const ScalarArray& shifts,
                   const std::vector<int64_t>& axis,
                   MetaTensor* out);

180 181
void ShapeInferMeta(const MetaTensor& input, MetaTensor* out);

Z
zyfncg 已提交
182 183 184 185 186 187 188
void ShardIndexInferMeta(const MetaTensor& in,
                         int index_num,
                         int nshards,
                         int shard_id,
                         int ignore_value,
                         MetaTensor* out,
                         MetaConfig config = MetaConfig());
189

Z
zyfncg 已提交
190
void SizeInferMeta(const MetaTensor& input, MetaTensor* out);
191

Z
zyfncg 已提交
192
void SoftmaxInferMeta(const MetaTensor& x, int axis, MetaTensor* out);
193

Z
zyfncg 已提交
194 195 196 197 198
void SplitInferMeta(const MetaTensor& x_meta,
                    const ScalarArray& num_or_sections,
                    const Scalar& axis,
                    std::vector<MetaTensor*> out,
                    MetaConfig config = MetaConfig());
199 200 201 202 203 204

void SumInferMeta(const MetaTensor& x,
                  const std::vector<int64_t>& axis,
                  DataType dtype,
                  bool keep_dim,
                  MetaTensor* out);
205

Z
zyfncg 已提交
206 207 208 209 210 211 212 213 214 215 216 217
void SumRawInferMeta(const MetaTensor& x,
                     const std::vector<int64_t>& axis,
                     bool keep_dim,
                     bool reduce_all,
                     DataType dtype,
                     MetaTensor* out);

void TileInferMeta(const MetaTensor& x,
                   const ScalarArray& repeat_times,
                   MetaTensor* out,
                   MetaConfig config = MetaConfig());

218 219 220 221 222 223 224 225 226
void TopKInferMeta(const MetaTensor& x,
                   const Scalar& k_scalar,
                   int axis,
                   bool largest,
                   bool sorted,
                   MetaTensor* out,
                   MetaTensor* indices,
                   MetaConfig config = MetaConfig());

Z
zyfncg 已提交
227 228 229
void TraceInferMeta(
    const MetaTensor& x, int offset, int axis1, int axis2, MetaTensor* out);

230 231 232 233
void TransferLayoutInferMeta(const MetaTensor& x,
                             DataLayout layout,
                             MetaTensor* out);

Z
zyfncg 已提交
234 235 236
void TransposeInferMeta(const MetaTensor& x,
                        const std::vector<int>& axis,
                        MetaTensor* out);
C
Chen Weihang 已提交
237

L
Leo Chen 已提交
238 239 240
void UnbindInferMeta(const MetaTensor& x,
                     int axis,
                     std::vector<MetaTensor>* outs);
Z
zyfncg 已提交
241 242 243 244 245 246 247

void UnchangedInferMeta(const MetaTensor& x, MetaTensor* out);

// meta x -> out without change, check if axis in range [-Rank(x), Rank(x)-1]
void UnchangedInferMetaCheckAxis(const MetaTensor& x,
                                 int axis,
                                 MetaTensor* out);
C
Chen Weihang 已提交
248

249 250 251 252 253 254 255
void UnfoldInferMeta(const MetaTensor& x,
                     const std::vector<int>& kernel_sizes,
                     const std::vector<int>& strides,
                     const std::vector<int>& paddings,
                     const std::vector<int>& dilations,
                     MetaTensor* out,
                     MetaConfig config = MetaConfig());
256

H
hong 已提交
257 258 259 260 261 262 263 264
void OneHotRawInferMeta(const MetaTensor& x,
                        int32_t depth,
                        DataType dtype,
                        bool allow_out_of_range,
                        MetaTensor* out);

void OneHotInferMeta(const MetaTensor& x, const Scalar& depth, MetaTensor* out);

265 266
void WhereIndexInferMeta(const MetaTensor& condition, MetaTensor* out);

267
}  // namespace phi