op_desc.cc 20.3 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
F
fengjiayi 已提交
2 3 4 5 6 7 8 9 10 11 12 13 14

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. */

Y
Yi Wang 已提交
15
#include "paddle/fluid/framework/op_desc.h"
16
#include <algorithm>
Y
Yu Yang 已提交
17
#include <functional>
18 19
#include <mutex>  // NOLINT
#include <string>
Y
Yu Yang 已提交
20
#include <unordered_map>
21
#include "glog/logging.h"
Y
Yi Wang 已提交
22
#include "paddle/fluid/framework/block_desc.h"
Y
yuyang18 已提交
23
#include "paddle/fluid/framework/op_proto_maker.h"
Y
Yi Wang 已提交
24 25 26
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/framework/shape_inference.h"
Y
Yu Yang 已提交
27

F
fengjiayi 已提交
28 29 30
namespace paddle {
namespace framework {

Y
Yu Yang 已提交
31 32
class OpDesc;
class BlockDesc;
33 34
class CompileTimeInferShapeContext : public InferShapeContext {
 public:
Y
Yu Yang 已提交
35
  CompileTimeInferShapeContext(const OpDesc &op, const BlockDesc &block);
36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52

  bool HasInput(const std::string &name) const override;

  bool HasOutput(const std::string &name) const override;

  bool HasInputs(const std::string &name) const override;

  bool HasOutputs(const std::string &name) const override;

  AttrReader Attrs() const override;

  const std::vector<std::string> &Inputs(
      const std::string &name) const override;

  const std::vector<std::string> &Outputs(
      const std::string &name) const override;

Q
Qiao Longfei 已提交
53 54 55 56
  void ShareLoD(const std::string &in, const std::string &out, size_t i = 0,
                size_t j = 0) const override {
    PADDLE_ENFORCE_LT(i, Inputs(in).size());
    PADDLE_ENFORCE_LT(j, Outputs(out).size());
C
chengduo 已提交
57 58 59 60
    PADDLE_ENFORCE(Inputs(in)[i] != framework::kEmptyVarName,
                   "The %s[%d] is @EMPTY@", in, i);
    PADDLE_ENFORCE(Outputs(out)[j] != framework::kEmptyVarName,
                   "The %s[%d] is @EMPTY@", out, j);
Q
Qiao Longfei 已提交
61 62
    auto *in_var = block_.FindVarRecursive(Inputs(in)[i]);
    auto *out_var = block_.FindVarRecursive(Outputs(out)[j]);
63
    if (in_var->GetType() != proto::VarType::LOD_TENSOR) {
Q
Qiao Longfei 已提交
64
      VLOG(3) << "input " << in << " is not LodTensor";
Q
Qiao Longfei 已提交
65 66
      return;
    }
67
    PADDLE_ENFORCE_EQ(in_var->GetType(), proto::VarType::LOD_TENSOR,
Q
Qiao Longfei 已提交
68 69
                      "The %d-th output of Output(%s) must be LoDTensor.", j,
                      out);
C
chengduo 已提交
70

71
    out_var->SetLoDLevel(in_var->GetLoDLevel());
Q
Qiao Longfei 已提交
72
  }
D
dzhwinter 已提交
73

74 75 76
  bool IsRuntime() const override;

 protected:
77
  proto::VarType::Type GetVarType(const std::string &name) const override;
Q
Qiao Longfei 已提交
78

79 80 81 82
  DDim GetDim(const std::string &name) const override;

  void SetDim(const std::string &name, const DDim &dim) override;

F
fengjiayi 已提交
83 84 85 86
  std::vector<DDim> GetRepeatedDims(const std::string &name) const override;

  void SetRepeatedDims(const std::string &name,
                       const std::vector<DDim> &dims) override;
F
fengjiayi 已提交
87

F
fengjiayi 已提交
88 89
  InferShapeVarPtr GetVarPtr(const std::string &name) override;

Y
Yu Yang 已提交
90 91
  const OpDesc &op_;
  const BlockDesc &block_;
92 93
};

Y
Yu Yang 已提交
94 95
OpDesc::OpDesc(const std::string &type, const VariableNameMap &inputs,
               const VariableNameMap &outputs, const AttributeMap &attrs) {
96
  desc_.set_type(type);
F
fengjiayi 已提交
97 98 99
  inputs_ = inputs;
  outputs_ = outputs;
  attrs_ = attrs;
F
Fix bug  
fengjiayi 已提交
100
  need_update_ = true;
F
fengjiayi 已提交
101 102
}

X
Xin Pan 已提交
103 104 105 106 107 108
OpDesc::OpDesc(const OpDesc &other, BlockDesc *block) {
  CopyFrom(other);
  block_ = block;
  need_update_ = true;
}

109
void OpDesc::CopyFrom(const OpDesc &op_desc) {
F
fengjiayi 已提交
110 111 112 113 114 115 116
  desc_.set_type(op_desc.Type());
  inputs_ = op_desc.inputs_;
  outputs_ = op_desc.outputs_;
  attrs_ = op_desc.attrs_;
  need_update_ = true;
}

F
fengjiayi 已提交
117
OpDesc::OpDesc(const proto::OpDesc &desc, BlockDesc *block)
118 119 120 121
    : desc_(desc), need_update_(false) {
  // restore inputs_
  int input_size = desc_.inputs_size();
  for (int i = 0; i < input_size; ++i) {
122
    const proto::OpDesc::Var &var = desc_.inputs(i);
123 124 125 126 127 128 129 130 131 132
    std::vector<std::string> &args = inputs_[var.parameter()];
    int argu_size = var.arguments_size();
    args.reserve(argu_size);
    for (int j = 0; j < argu_size; ++j) {
      args.push_back(var.arguments(j));
    }
  }
  // restore outputs_
  int output_size = desc_.outputs_size();
  for (int i = 0; i < output_size; ++i) {
133
    const proto::OpDesc::Var &var = desc_.outputs(i);
134 135 136 137 138 139 140 141
    std::vector<std::string> &args = outputs_[var.parameter()];
    int argu_size = var.arguments_size();
    args.reserve(argu_size);
    for (int j = 0; j < argu_size; ++j) {
      args.push_back(var.arguments(j));
    }
  }
  // restore attrs_
142
  for (const proto::OpDesc::Attr &attr : desc_.attrs()) {
143
    std::string attr_name = attr.name();
144
    // The sub_block referred to by the BLOCK attr hasn't been added
X
Xin Pan 已提交
145 146 147
    // to ProgramDesc class yet, we skip setting BLOCK/BLOCKS attr here.
    if (attr.type() != proto::AttrType::BLOCK &&
        attr.type() != proto::AttrType::BLOCKS) {
148 149
      attrs_[attr_name] = GetAttrValue(attr);
    }
150
  }
151
  this->block_ = block;
152 153
}

Y
Yu Yang 已提交
154
proto::OpDesc *OpDesc::Proto() {
155
  Flush();
156
  return &desc_;
F
fengjiayi 已提交
157 158
}

Y
Yu Yang 已提交
159
const std::vector<std::string> &OpDesc::Input(const std::string &name) const {
F
fengjiayi 已提交
160 161 162 163 164 165
  auto it = inputs_.find(name);
  PADDLE_ENFORCE(it != inputs_.end(), "Input %s cannot be found in Op %s", name,
                 Type());
  return it->second;
}

Y
Yu Yang 已提交
166
std::vector<std::string> OpDesc::InputArgumentNames() const {
F
Update  
fengjiayi 已提交
167 168 169 170 171 172 173
  std::vector<std::string> retv;
  for (auto &ipt : this->inputs_) {
    retv.insert(retv.end(), ipt.second.begin(), ipt.second.end());
  }
  return retv;
}

Y
Yu Yang 已提交
174 175
void OpDesc::SetInput(const std::string &param_name,
                      const std::vector<std::string> &args) {
F
fengjiayi 已提交
176 177 178 179
  need_update_ = true;
  inputs_[param_name] = args;
}

Y
Yu Yang 已提交
180
const std::vector<std::string> &OpDesc::Output(const std::string &name) const {
F
fengjiayi 已提交
181 182 183 184 185 186
  auto it = outputs_.find(name);
  PADDLE_ENFORCE(it != outputs_.end(), "Output %s cannot be found in Op %s",
                 name, Type());
  return it->second;
}

Y
Yu Yang 已提交
187
std::vector<std::string> OpDesc::OutputArgumentNames() const {
F
Update  
fengjiayi 已提交
188 189 190 191 192 193 194
  std::vector<std::string> retv;
  for (auto &ipt : this->outputs_) {
    retv.insert(retv.end(), ipt.second.begin(), ipt.second.end());
  }
  return retv;
}

Y
Yu Yang 已提交
195 196
void OpDesc::SetOutput(const std::string &param_name,
                       const std::vector<std::string> &args) {
F
fengjiayi 已提交
197 198 199 200
  need_update_ = true;
  this->outputs_[param_name] = args;
}

Y
Yu Yang 已提交
201
proto::AttrType OpDesc::GetAttrType(const std::string &name) const {
F
fengjiayi 已提交
202 203
  auto it = attrs_.find(name);
  PADDLE_ENFORCE(it != attrs_.end(), "Attribute %s is not found", name);
204
  return static_cast<proto::AttrType>(it->second.which() - 1);
F
fengjiayi 已提交
205 206
}

Y
Yu Yang 已提交
207
std::vector<std::string> OpDesc::AttrNames() const {
F
fengjiayi 已提交
208 209 210 211 212 213 214 215
  std::vector<std::string> retv;
  retv.reserve(attrs_.size());
  for (auto &attr : attrs_) {
    retv.push_back(attr.first);
  }
  return retv;
}

Y
Yu Yang 已提交
216
void OpDesc::SetAttr(const std::string &name, const Attribute &v) {
M
minqiyang 已提交
217 218 219 220 221 222 223
  // NOTICE(minqiyang): pybind11 will take the empty list in python as
  // the std::vector<int> type in C++; so we have to change the attr's type
  // here if we meet this issue
  proto::AttrType attr_type = static_cast<proto::AttrType>(v.which() - 1);
  if (attr_type == proto::AttrType::INTS &&
      boost::get<std::vector<int>>(v).size() == 0u) {
    // Find current attr via attr name and set the correct attribute value
M
minqiyang 已提交
224
    const proto::OpProto::Attr &attr = GetProtoAttr(name);
M
minqiyang 已提交
225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253
    switch (attr.type()) {
      case proto::AttrType::BOOLEANS: {
        VLOG(11) << "SetAttr: " << Type() << ", " << name
                 << " from INTS to BOOLEANS";
        this->attrs_[name] = std::vector<bool>();
        break;
      }
      case proto::AttrType::INTS: {
        VLOG(11) << "SetAttr: " << Type() << ", " << name
                 << " from INTS to INTS";
        this->attrs_[name] = std::vector<int>();
        break;
      }
      case proto::AttrType::FLOATS: {
        VLOG(11) << "SetAttr: " << Type() << ", " << name
                 << " from INTS to FLOATS";
        this->attrs_[name] = std::vector<float>();
        break;
      }
      case proto::AttrType::STRINGS: {
        VLOG(11) << "SetAttr: " << Type() << ", " << name
                 << " from INTS to STRINGS";
        this->attrs_[name] = std::vector<std::string>();
        break;
      }
      case proto::AttrType::BLOCKS: {
        VLOG(11) << "SetAttr: " << Type() << ", " << name
                 << " from INTS to BLOCKS";
        this->SetBlocksAttr(name, std::vector<BlockDesc *>());
M
minqiyang 已提交
254 255
        return;
      }
M
minqiyang 已提交
256 257
      default:
        PADDLE_THROW("Wrong attr type %d", attr.type());
M
minqiyang 已提交
258
    }
M
minqiyang 已提交
259 260
    need_update_ = true;
    return;
M
minqiyang 已提交
261 262
  }

F
fengjiayi 已提交
263 264 265 266
  this->attrs_[name] = v;
  need_update_ = true;
}

A
Abhinav Arora 已提交
267 268
void OpDesc::SetBlockAttr(const std::string &name, BlockDesc *block) {
  this->attrs_[name] = block;
F
fengjiayi 已提交
269
  need_update_ = true;
F
fengjiayi 已提交
270 271
}

272 273 274 275 276 277
void OpDesc::SetBlocksAttr(const std::string &name,
                           std::vector<BlockDesc *> blocks) {
  this->attrs_[name] = blocks;
  need_update_ = true;
}

Y
Yu Yang 已提交
278
void OpDesc::SetAttrMap(
F
fengjiayi 已提交
279 280 281 282 283
    const std::unordered_map<std::string, Attribute> &attr_map) {
  attrs_ = attr_map;
  need_update_ = true;
}

Y
Yu Yang 已提交
284
Attribute OpDesc::GetAttr(const std::string &name) const {
F
fengjiayi 已提交
285 286 287 288 289
  auto it = attrs_.find(name);
  PADDLE_ENFORCE(it != attrs_.end(), "Attribute %s is not found", name);
  return it->second;
}

M
minqiyang 已提交
290 291 292
const proto::OpProto::Attr &OpDesc::GetProtoAttr(
    const std::string &name) const {
  const proto::OpProto &proto = OpInfoMap::Instance().Get(Type()).Proto();
M
minqiyang 已提交
293 294 295 296 297 298 299 300 301 302
  for (int i = 0; i != proto.attrs_size(); ++i) {
    const proto::OpProto::Attr &attr = proto.attrs(i);
    if (attr.name() == name) {
      return attr;
    }
  }

  PADDLE_THROW("Attribute %s is not found in proto %s", name, proto.type());
}

Y
yuyang18 已提交
303
Attribute OpDesc::GetNullableAttr(const std::string &name) const {
Y
Fix bug  
yuyang18 已提交
304 305 306 307
  auto it = attrs_.find(name);
  if (it != attrs_.end()) {
    return it->second;
  } else {
Y
yuyang18 已提交
308
    return Attribute();
Y
Fix bug  
yuyang18 已提交
309 310 311
  }
}

G
gongweibao 已提交
312 313 314 315 316 317 318 319 320 321 322 323 324 325
std::vector<int> OpDesc::GetBlocksAttrIds(const std::string &name) const {
  auto it = attrs_.find(name);
  PADDLE_ENFORCE(it != attrs_.end(), "Attribute %s is not found", name);
  auto blocks = boost::get<std::vector<BlockDesc *>>(it->second);

  std::vector<int> ids;
  for (auto n : blocks) {
    ids.push_back(n->ID());
  }

  return ids;
}

int OpDesc::GetBlockAttrId(const std::string &name) const {
F
fengjiayi 已提交
326 327
  auto it = attrs_.find(name);
  PADDLE_ENFORCE(it != attrs_.end(), "Attribute %s is not found", name);
Y
Yu Yang 已提交
328
  return boost::get<BlockDesc *>(it->second)->ID();
F
fengjiayi 已提交
329 330
}

Y
Yu Yang 已提交
331
const std::unordered_map<std::string, Attribute> &OpDesc::GetAttrMap() const {
F
fengjiayi 已提交
332 333 334
  return attrs_;
}

Y
Yu Yang 已提交
335
void OpDesc::Rename(const std::string &old_name, const std::string &new_name) {
Y
Yancey1989 已提交
336 337
  RenameInput(old_name, new_name);
  RenameOutput(old_name, new_name);
F
fengjiayi 已提交
338 339 340
  need_update_ = true;
}

Y
Yu Yang 已提交
341 342
void OpDesc::RenameOutput(const std::string &old_name,
                          const std::string &new_name) {
Y
Yang Yang(Tony) 已提交
343 344 345 346
  for (auto &output : outputs_) {
    std::replace(output.second.begin(), output.second.end(), old_name,
                 new_name);
  }
Y
yuyang18 已提交
347 348 349 350 351 352 353

  auto it = attrs_.find(framework::OpProtoAndCheckerMaker::OpRoleVarAttrName());
  if (it != attrs_.end()) {
    auto &op_vars = boost::get<std::vector<std::string>>(it->second);
    std::replace(op_vars.begin(), op_vars.end(), old_name, new_name);
  }

Y
Yang Yang(Tony) 已提交
354 355 356
  need_update_ = true;
}

Y
Yu Yang 已提交
357 358
void OpDesc::RenameInput(const std::string &old_name,
                         const std::string &new_name) {
Y
Yang Yang(Tony) 已提交
359 360 361
  for (auto &input : inputs_) {
    std::replace(input.second.begin(), input.second.end(), old_name, new_name);
  }
Y
Yancey1989 已提交
362 363 364 365 366 367 368

  auto it = attrs_.find(framework::OpProtoAndCheckerMaker::OpRoleVarAttrName());
  if (it != attrs_.end()) {
    auto &op_vars = boost::get<std::vector<std::string>>(it->second);
    std::replace(op_vars.begin(), op_vars.end(), old_name, new_name);
  }

Y
Yang Yang(Tony) 已提交
369 370 371
  need_update_ = true;
}

Y
Yu Yang 已提交
372
struct SetAttrDescVisitor : public boost::static_visitor<void> {
373 374
  explicit SetAttrDescVisitor(proto::OpDesc::Attr *attr) : attr_(attr) {}
  mutable proto::OpDesc::Attr *attr_;
Y
Yu Yang 已提交
375 376 377
  void operator()(int v) const { attr_->set_i(v); }
  void operator()(float v) const { attr_->set_f(v); }
  void operator()(const std::string &v) const { attr_->set_s(v); }
Q
QI JUN 已提交
378 379 380 381 382 383 384

  // Please refer to https://github.com/PaddlePaddle/Paddle/issues/7162
  template <class T,
            class = typename std::enable_if<std::is_same<bool, T>::value>::type>
  void operator()(T b) const {
    attr_->set_b(b);
  }
Y
Yu Yang 已提交
385 386 387 388 389 390 391 392 393 394 395 396 397

  void operator()(const std::vector<int> &v) const {
    VectorToRepeated(v, attr_->mutable_ints());
  }
  void operator()(const std::vector<float> &v) const {
    VectorToRepeated(v, attr_->mutable_floats());
  }
  void operator()(const std::vector<std::string> &v) const {
    VectorToRepeated(v, attr_->mutable_strings());
  }
  void operator()(const std::vector<bool> &v) const {
    VectorToRepeated(v, attr_->mutable_bools());
  }
398 399 400 401 402 403 404
  void operator()(const std::vector<BlockDesc *> &v) const {
    std::vector<int> blocks_idx;
    for (auto blk : v) {
      blocks_idx.push_back(blk->ID());
    }
    VectorToRepeated(blocks_idx, attr_->mutable_blocks_idx());
  }
Q
QI JUN 已提交
405
  void operator()(BlockDesc *desc) const { attr_->set_block_idx(desc->ID()); }
406
  void operator()(int64_t v) const { attr_->set_l(v); }
Y
Yu Yang 已提交
407 408 409
  void operator()(boost::blank) const { PADDLE_THROW("Unexpected branch"); }
};

Y
Yu Yang 已提交
410
void OpDesc::Flush() {
F
fengjiayi 已提交
411
  if (need_update_) {
412
    this->desc_.mutable_inputs()->Clear();
F
fengjiayi 已提交
413
    for (auto &ipt : inputs_) {
414
      auto *input = desc_.add_inputs();
F
fengjiayi 已提交
415 416 417 418
      input->set_parameter(ipt.first);
      VectorToRepeated(ipt.second, input->mutable_arguments());
    }

419
    this->desc_.mutable_outputs()->Clear();
F
fengjiayi 已提交
420
    for (auto &opt : outputs_) {
421
      auto *output = desc_.add_outputs();
F
fengjiayi 已提交
422 423 424 425
      output->set_parameter(opt.first);
      VectorToRepeated(opt.second, output->mutable_arguments());
    }

426
    this->desc_.mutable_attrs()->Clear();
F
fengjiayi 已提交
427
    for (auto &attr : attrs_) {
428
      auto *attr_desc = desc_.add_attrs();
F
fengjiayi 已提交
429 430
      attr_desc->set_name(attr.first);
      attr_desc->set_type(
431
          static_cast<proto::AttrType>(attr.second.which() - 1));
Y
Yu Yang 已提交
432 433
      SetAttrDescVisitor visitor(attr_desc);
      boost::apply_visitor(visitor, attr.second);
F
fengjiayi 已提交
434 435 436 437 438
    }

    need_update_ = false;
  }
}
Y
Yu Yang 已提交
439

440 441 442 443 444 445 446 447 448
static std::once_flag init_infer_shape_funcs;

static void InitInferShapeFuncs() {
  std::call_once(init_infer_shape_funcs, [] {
    auto &map = OpInfoMap::Instance();
    auto &info_map = *map.mutable_map();

    for (auto &kern_pair : OperatorWithKernel::AllOpKernels()) {
      auto op_type = kern_pair.first;
C
chengduoZH 已提交
449 450 451 452
      auto it = info_map.find(op_type);
      PADDLE_ENFORCE(it != info_map.end(), "%s has not been registered",
                     op_type);
      auto &op_info = it->second;
Y
Yiqun Liu 已提交
453 454
      auto op = static_cast<OperatorWithKernel *>(op_info.Creator()(
          "", VariableNameMap{}, VariableNameMap{}, AttributeMap{}));
455 456 457 458 459 460
      if (op_info.infer_shape_) {  // infer_shape has been registered.
        continue;
      }
      op_info.infer_shape_ = [op](InferShapeContext *ctx) {
        op->InferShape(ctx);
      };
Y
Yu Yang 已提交
461
    }
462
  });
Y
Yu Yang 已提交
463 464
}

Y
Yu Yang 已提交
465
void OpDesc::CheckAttrs() {
F
fengjiayi 已提交
466 467
  PADDLE_ENFORCE(!Type().empty(),
                 "CheckAttr() can not be called before type is setted.");
Y
Yu Yang 已提交
468 469 470 471 472 473
  auto *checker = OpInfoMap::Instance().Get(Type()).Checker();
  if (checker == nullptr) {
    // checker is not configured. That operator could be generated by Paddle,
    // not by users.
    return;
  }
F
fengjiayi 已提交
474 475 476
  checker->Check(attrs_);
}

Y
Yu Yang 已提交
477
void OpDesc::InferShape(const BlockDesc &block) const {
Y
Yu Yang 已提交
478
  VLOG(3) << "CompileTime infer shape on " << Type();
479 480 481 482
  InitInferShapeFuncs();
  auto &infer_shape = OpInfoMap::Instance().Get(this->Type()).infer_shape_;
  PADDLE_ENFORCE(static_cast<bool>(infer_shape),
                 "%s's infer_shape has not been registered", this->Type());
Y
Yu Yang 已提交
483
  CompileTimeInferShapeContext ctx(*this, block);
Y
Yu Yang 已提交
484 485 486 487 488 489 490 491 492 493 494 495 496
  if (VLOG_IS_ON(10)) {
    std::ostringstream sout;
    auto inames = this->InputArgumentNames();
    sout << " From [";
    std::copy(inames.begin(), inames.end(),
              std::ostream_iterator<std::string>(sout, ", "));
    sout << "] to [";
    auto onames = this->OutputArgumentNames();
    std::copy(onames.begin(), onames.end(),
              std::ostream_iterator<std::string>(sout, ", "));
    sout << "]";
    VLOG(10) << sout.str();
  }
497
  infer_shape(&ctx);
Y
Yu Yang 已提交
498 499
}

Y
Yu Yang 已提交
500
void OpDesc::InferVarType(BlockDesc *block) const {
Y
Yu Yang 已提交
501 502 503 504 505
  auto &info = OpInfoMap::Instance().Get(this->Type());
  if (info.infer_var_type_) {
    info.infer_var_type_(*this, block);
  } else {
    // all output type is LoDTensor by default
Y
Yu Yang 已提交
506 507 508
    VLOG(10) << this->Type()
             << " has not registered InferVarType. Set output variables to "
                "LOD_TENSOR";
Y
Yu Yang 已提交
509 510
    for (auto &out_pair : this->outputs_) {
      for (auto &out_var_name : out_pair.second) {
Y
Yang Yang(Tony) 已提交
511
        block->FindRecursiveOrCreateVar(out_var_name)
512
            .SetType(proto::VarType::LOD_TENSOR);
Y
Yu Yang 已提交
513 514 515 516 517
      }
    }
  }
}

518
CompileTimeInferShapeContext::CompileTimeInferShapeContext(
Y
Yu Yang 已提交
519
    const OpDesc &op, const BlockDesc &block)
520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586
    : op_(op), block_(block) {}

bool CompileTimeInferShapeContext::HasInput(const std::string &name) const {
  const std::vector<std::string> &input_names = op_.Input(name);
  auto length = input_names.size();
  if (length == 0) {
    return false;
  }
  PADDLE_ENFORCE_EQ(length, 1UL,
                    "Input(%s) should have only one value, "
                    "but it have %d now",
                    name, length);
  return block_.HasVarRecursive(input_names[0]);
}

bool CompileTimeInferShapeContext::HasOutput(const std::string &name) const {
  const std::vector<std::string> &output_names = op_.Output(name);
  auto length = output_names.size();
  if (length == 0) {
    return false;
  }
  PADDLE_ENFORCE_EQ(length, 1UL,
                    "Output(%s) should have only one value, "
                    "but it have %d now",
                    name, length);
  return block_.HasVarRecursive(output_names[0]);
}

bool CompileTimeInferShapeContext::HasInputs(const std::string &name) const {
  const std::vector<std::string> &input_names = op_.Input(name);
  if (input_names.empty()) {
    return false;
  }
  for (auto &input : input_names) {
    if (!block_.HasVarRecursive(input)) return false;
  }
  return true;
}

bool CompileTimeInferShapeContext::HasOutputs(const std::string &name) const {
  const std::vector<std::string> &output_names = op_.Output(name);
  if (output_names.empty()) {
    return false;
  }
  for (auto &output : output_names) {
    if (!block_.HasVarRecursive(output)) return false;
  }
  return true;
}

AttrReader CompileTimeInferShapeContext::Attrs() const {
  return AttrReader(op_.GetAttrMap());
}

const std::vector<std::string> &CompileTimeInferShapeContext::Inputs(
    const std::string &name) const {
  return op_.Input(name);
}

const std::vector<std::string> &CompileTimeInferShapeContext::Outputs(
    const std::string &name) const {
  return op_.Output(name);
}

DDim CompileTimeInferShapeContext::GetDim(const std::string &name) const {
  auto var = block_.FindVarRecursive(name);
  PADDLE_ENFORCE(var != nullptr, "Cannot find variable %s", name);
F
fengjiayi 已提交
587
  DDim res;
Y
Yang Yang(Tony) 已提交
588
  try {
F
fengjiayi 已提交
589
    auto shape = var->GetShape();
F
fengjiayi 已提交
590
    res = shape.empty() ? make_ddim({0UL}) : make_ddim(shape);
Y
Yang Yang(Tony) 已提交
591 592 593 594
  } catch (...) {
    VLOG(5) << "GetDim of variable " << name << " error";
    std::rethrow_exception(std::current_exception());
  }
F
fengjiayi 已提交
595 596 597
  return res;
}

F
fengjiayi 已提交
598
std::vector<DDim> CompileTimeInferShapeContext::GetRepeatedDims(
F
fengjiayi 已提交
599 600 601 602 603 604 605 606 607 608 609 610 611 612
    const std::string &name) const {
  auto var = block_.FindVarRecursive(name);
  PADDLE_ENFORCE(var != nullptr, "Cannot find variable %s", name);
  std::vector<DDim> res;
  try {
    auto shapes = var->GetShapes();
    for (const auto &s : shapes) {
      res.push_back(s.empty() ? make_ddim({0UL}) : make_ddim(s));
    }
  } catch (...) {
    VLOG(5) << "GetRepeatedDim of variable " << name << " error.";
    std::rethrow_exception(std::current_exception());
  }
  return res;
613 614 615 616
}

void CompileTimeInferShapeContext::SetDim(const std::string &name,
                                          const DDim &dim) {
F
fengjiayi 已提交
617
  block_.FindVarRecursive(name)->SetShape(vectorize(dim));
618
}
F
fengjiayi 已提交
619 620 621 622 623 624 625 626

void CompileTimeInferShapeContext::SetRepeatedDims(
    const std::string &name, const std::vector<DDim> &dims) {
  auto var = block_.FindVarRecursive(name);
  PADDLE_ENFORCE(var != nullptr, "Cannot find variable %s", name);
  std::vector<std::vector<int64_t>> dim_vec(dims.size());
  std::transform(dims.begin(), dims.end(), dim_vec.begin(), vectorize);
  var->SetShapes(dim_vec);
627
}
F
fengjiayi 已提交
628

629 630
bool CompileTimeInferShapeContext::IsRuntime() const { return false; }

631
proto::VarType::Type CompileTimeInferShapeContext::GetVarType(
632 633 634
    const std::string &name) const {
  return block_.FindVarRecursive(name)->GetType();
}
635

F
fengjiayi 已提交
636 637 638 639 640
InferShapeVarPtr CompileTimeInferShapeContext::GetVarPtr(
    const std::string &name) {
  return block_.FindVarRecursive(name);
}

F
fengjiayi 已提交
641 642
}  // namespace framework
}  // namespace paddle