prune.cc 15.1 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Y
Yang Yang 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/prune.h"
Y
Yang Yang 已提交
16

17 18
#include <glog/logging.h>

Y
Yang Yang 已提交
19
#include <algorithm>
20
#include <memory>
21
#include <queue>
Y
Yang Yang 已提交
22 23
#include <set>
#include <string>
24
#include <tuple>
K
Kexin Zhao 已提交
25
#include <unordered_map>
26
#include <unordered_set>
Y
Yang Yang 已提交
27 28
#include <vector>

29 30 31 32 33
#include "paddle/fluid/framework/block_desc.h"
#include "paddle/fluid/framework/op_desc.h"
#include "paddle/fluid/framework/op_proto_maker.h"
#include "paddle/fluid/framework/program_desc.h"

Y
Yang Yang 已提交
34 35 36
namespace paddle {
namespace framework {

37 38
const char kFeedOpType[] = "feed";
const char kFetchOpType[] = "fetch";
Y
Yang Yang 已提交
39

40 41 42 43
const char kRecurrent[] = "recurrent";
const char kStates[] = "states";
const char kExStates[] = "ex_states";

44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59
bool HasDependentInputVar(
    const proto::OpDesc& op_desc,
    const std::unordered_set<std::string>& dependent_vars) {
  for (auto& var : op_desc.inputs()) {
    for (auto& argu : var.arguments()) {
      if (dependent_vars.count(argu) != 0) {
        return true;
      }
    }
  }
  return false;
}

bool HasDependentOutputVar(
    const proto::OpDesc& op_desc,
    const std::unordered_set<std::string>& dependent_vars) {
Y
Yang Yang 已提交
60 61 62 63 64 65 66 67 68 69
  for (auto& var : op_desc.outputs()) {
    for (auto& argu : var.arguments()) {
      if (dependent_vars.count(argu) != 0) {
        return true;
      }
    }
  }
  return false;
}

70
bool IsTarget(const proto::OpDesc& op_desc) {
Y
Yang Yang 已提交
71 72 73 74 75 76
  if (op_desc.has_is_target()) {
    return op_desc.is_target();
  }
  return false;
}

77 78 79 80 81 82 83 84
bool HasTrueTarget(const proto::OpDesc& op_desc) {
  return op_desc.has_is_target() && op_desc.is_target();
}

bool HasFalseTarget(const proto::OpDesc& op_desc) {
  return op_desc.has_is_target() && !op_desc.is_target();
}

K
Kexin Zhao 已提交
85
int GetSubBlockIndex(const proto::OpDesc& op_desc) {
86
  // The block index >= 0, so -1 is used to indicate "NotFound".
K
Kexin Zhao 已提交
87 88
  for (auto& attr : op_desc.attrs()) {
    if (attr.type() == proto::AttrType::BLOCK) {
89 90 91 92
      PADDLE_ENFORCE_EQ(attr.has_block_idx(), true,
                        platform::errors::NotFound(
                            "Attribute sub_block is not found in operator %s",
                            op_desc.type()));
K
Kexin Zhao 已提交
93 94 95 96 97
      return attr.block_idx();
    }
  }
  return -1;
}
Y
Yang Yang 已提交
98

99 100 101 102 103 104 105 106 107 108 109 110
void SetSubBlockIndex(proto::OpDesc* op_desc, int sub_idx) {
  for (auto& attr : *op_desc->mutable_attrs()) {
    if (attr.type() == proto::AttrType::BLOCK) {
      PADDLE_ENFORCE_EQ(attr.has_block_idx(), true,
                        platform::errors::NotFound(
                            "Attribute sub_block is not found in operator %s",
                            op_desc->type()));
      attr.set_block_idx(sub_idx);
    }
  }
}

K
Kexin Zhao 已提交
111 112 113 114
bool HasSubBlock(const proto::OpDesc& op_desc) {
  return GetSubBlockIndex(op_desc) > 0;
}

115 116 117 118 119 120 121 122 123 124 125 126 127 128 129
int GetOpRole(const proto::OpDesc& op_desc) {
  // The op role >= 0, so -1 is used to indicate "NotFound".
  for (auto& attr : op_desc.attrs()) {
    if (attr.name() == OpProtoAndCheckerMaker::OpRoleAttrName()) {
      PADDLE_ENFORCE_EQ(
          attr.has_i(), true,
          platform::errors::NotFound("Attribute %s is empty in operator %s",
                                     OpProtoAndCheckerMaker::OpRoleAttrName(),
                                     op_desc.type()));
      return attr.i();
    }
  }
  return -1;
}

130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147
void AppendOpInputVarNames(const proto::OpDesc& op_desc,
                           std::unordered_set<std::string>* vars_set) {
  for (auto& var : op_desc.inputs()) {
    for (auto& arg : var.arguments()) {
      vars_set->emplace(arg);
    }
  }
}

void AppendOpOutputVarNames(const proto::OpDesc& op_desc,
                            std::unordered_set<std::string>* vars_set) {
  for (auto& var : op_desc.outputs()) {
    for (auto& arg : var.arguments()) {
      vars_set->emplace(arg);
    }
  }
}

K
Kexin Zhao 已提交
148 149 150 151 152 153 154
// block_id is the idx of the current block in the input desc
// parent_block_id is the idx of the parent of the current block
// in the output desc, -1 means the current block is global block
// dependent_vars is passed recursively from the parent block to
// the child block to help pruning
void prune_impl(const proto::ProgramDesc& input, proto::ProgramDesc* output,
                int block_id, int parent_block_id,
155
                std::unordered_set<std::string>* dependent_vars,
156
                const std::set<std::string> feed_var_names) {
Y
Yang Yang 已提交
157
  auto& block = input.blocks(block_id);
Y
Yang Yang 已提交
158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177
  auto& ops = block.ops();

  bool expect_feed = true;
  for (auto& op_desc : ops) {
    PADDLE_ENFORCE(op_desc.type() != kFeedOpType || expect_feed,
                   "All FeedOps are at the beginning of the ProgramDesc");
    expect_feed = (op_desc.type() == kFeedOpType);
  }

  bool expect_fetch = true;
  for (auto op_iter = ops.rbegin(); op_iter != ops.rend(); ++op_iter) {
    auto& op_desc = *op_iter;
    PADDLE_ENFORCE(op_desc.type() != kFetchOpType || expect_fetch,
                   "All FetchOps must at the end of the ProgramDesc");
    expect_fetch = (op_desc.type() == kFetchOpType);
  }

  std::vector<bool> should_run;
  for (auto op_iter = ops.rbegin(); op_iter != ops.rend(); ++op_iter) {
    auto& op_desc = *op_iter;
178
    if (IsTarget(op_desc) || HasDependentOutputVar(op_desc, *dependent_vars)) {
Y
Yang Yang 已提交
179 180 181
      // insert its input to the dependency graph
      for (auto& var : op_desc.inputs()) {
        for (auto& argu : var.arguments()) {
182 183 184
          if (feed_var_names.count(argu) == 0) {
            dependent_vars->insert(argu);
          }
Y
Yang Yang 已提交
185 186 187 188 189 190 191 192 193 194 195 196
        }
      }
      should_run.push_back(true);
    } else {
      should_run.push_back(false);
    }
  }

  // since we are traversing the ProgramDesc in reverse order
  // we reverse the should_run vector
  std::reverse(should_run.begin(), should_run.end());

K
Kexin Zhao 已提交
197 198 199 200 201 202
  // copy the current block from input to output
  auto* block_field = output->mutable_blocks();
  *block_field->Add() = input.blocks(block_id);

  int output_block_id = output->blocks_size() - 1;
  auto* output_block = output->mutable_blocks(output_block_id);
203 204
  output_block->set_idx(output_block_id);
  output_block->set_parent_idx(parent_block_id);
K
Kexin Zhao 已提交
205 206

  auto* op_field = output_block->mutable_ops();
Y
Yang Yang 已提交
207 208 209
  op_field->Clear();
  for (size_t i = 0; i < should_run.size(); ++i) {
    if (should_run[i]) {
K
Kexin Zhao 已提交
210 211 212
      auto* op = op_field->Add();
      *op = input.blocks(block_id).ops(i);
      if (HasSubBlock(*op)) {
213
        VLOG(2) << "Pruning op which has sub block: " << op->type();
K
Kexin Zhao 已提交
214
        // create sub_block_dependent_vars here to help prune the sub block
215
        std::unordered_set<std::string> sub_block_dependent_vars;
216
        for (auto& var : op->inputs()) {
K
Kexin Zhao 已提交
217
          for (auto& argu : var.arguments()) {
218 219 220
            if (feed_var_names.count(argu) == 0) {
              sub_block_dependent_vars.insert(argu);
            }
K
Kexin Zhao 已提交
221 222
          }
        }
223
        for (auto& var : op->outputs()) {
K
Kexin Zhao 已提交
224
          for (auto& argu : var.arguments()) {
225 226 227
            if (feed_var_names.count(argu) == 0) {
              sub_block_dependent_vars.insert(argu);
            }
K
Kexin Zhao 已提交
228 229
          }
        }
230 231 232 233 234 235 236 237 238 239 240 241 242 243

        // Recurrent op's states are also dependent vars
        if (op->type() == kRecurrent) {
          auto& attributes = op->attrs();
          for (auto& attr : attributes) {
            if (attr.name() == kStates || attr.name() == kExStates) {
              for (auto& argu : attr.strings()) {
                if (feed_var_names.count(argu) == 0) {
                  sub_block_dependent_vars.insert(argu);
                }
              }
            }
          }
        }
K
Kexin Zhao 已提交
244 245 246
        // GetSubBlockIndex(*op) is the idx of the sub_block in the input desc
        // output_block_id is the idx of the current block in the output desc
        prune_impl(input, output, GetSubBlockIndex(*op), output_block_id,
247
                   &sub_block_dependent_vars, feed_var_names);
K
Kexin Zhao 已提交
248
      }
Y
Yang Yang 已提交
249 250
    }
  }
K
Kexin Zhao 已提交
251

K
Kexin Zhao 已提交
252 253 254
  // remove the VarDescs in BlockDesc that are not referenced in
  // the pruned OpDescs
  std::unordered_map<std::string, proto::VarDesc> var_map;
K
Kexin Zhao 已提交
255
  auto* var_field = output->mutable_blocks(output_block_id)->mutable_vars();
K
Kexin Zhao 已提交
256 257
  for (const auto& var : *var_field) {
    var_map[var.name()] = var;
K
Kexin Zhao 已提交
258 259
  }

260
  std::set<std::string> var_names;
K
Kexin Zhao 已提交
261 262
  for (const auto& op : *op_field) {
    auto& input_field = op.inputs();
K
Kexin Zhao 已提交
263 264
    for (auto& input_var : input_field) {
      for (auto& arg : input_var.arguments()) {
265 266 267
        if (var_map.count(arg) != 0) {
          var_names.insert(arg);
        }
K
Kexin Zhao 已提交
268 269 270
      }
    }
    auto& output_field = op.outputs();
K
Kexin Zhao 已提交
271 272
    for (auto& output_var : output_field) {
      for (auto& arg : output_var.arguments()) {
273 274 275
        if (var_map.count(arg) != 0) {
          var_names.insert(arg);
        }
K
Kexin Zhao 已提交
276 277 278
      }
    }
  }
279 280 281 282 283

  var_field->Clear();
  for (const auto& name : var_names) {
    *var_field->Add() = var_map[name];
  }
Y
Yang Yang 已提交
284
}
Y
Yang Yang 已提交
285

286
// TODO(fengjiayi): Prune() could be inplaced to avoid unnecessary copies
287 288 289
void Prune(const proto::ProgramDesc& input,
           const std::set<std::string>& feed_var_names,
           proto::ProgramDesc* output) {
290
  std::unordered_set<std::string> dependent_vars;
K
fix bug  
Kexin Zhao 已提交
291
  output->clear_blocks();
292
  prune_impl(input, output, 0, -1, &dependent_vars, feed_var_names);
Y
Yang Yang 已提交
293
}
294

295 296 297 298 299 300 301 302
int FindMapByValue(const std::map<int, int>& m, int val) {
  // The content in map should be >= 0, so -1 is used to indicate "NotFound".
  for (auto& pair : m) {
    if (pair.second == val) {
      return pair.first;
    }
  }
  return -1;
303 304
}

305
void PruneBackwardImpl(proto::BlockDesc* origin, proto::BlockDesc* pruned) {
306 307 308
  std::unordered_set<std::string> op_input_vars;
  std::unordered_set<std::string> op_output_vars;

309 310
  // Step 1. Mark backward, optimize and lrsched ops in the block
  auto* ops = origin->mutable_ops();
311 312
  for (auto op_iter = ops->begin(); op_iter != ops->end(); ++op_iter) {
    auto& op_desc = *op_iter;
313 314 315 316
    auto op_role = GetOpRole(op_desc);
    if (op_role & static_cast<int>(OpRole::kOptimize) ||
        op_role & static_cast<int>(OpRole::kBackward) ||
        op_role & static_cast<int>(OpRole::kLRSched)) {
317 318 319 320
      op_desc.set_is_target(false);
    }
  }

321 322 323 324 325
  // Step 2. Copy the forward ops which have not been set false target to new
  // ProgramDesc
  // Note: The proto::ProgramDesc doesn't have interface
  //       to remove op and var
  auto* op_field = pruned->mutable_ops();
326 327
  op_field->Clear();
  for (auto op_iter = ops->begin(); op_iter != ops->end(); ++op_iter) {
328
    if (!HasFalseTarget(*op_iter)) {
329
      auto* op = op_field->Add();
330 331
      AppendOpInputVarNames(*op_iter, &op_input_vars);
      AppendOpOutputVarNames(*op_iter, &op_output_vars);
332 333 334 335
      *op = *op_iter;
    }
  }

336
  // Step 3. Copy the forward vars to new ProgramDesc,
337
  // construct all var's map before clear
338 339
  auto* origin_vars = origin->mutable_vars();
  auto* pruned_vars = pruned->mutable_vars();
340
  std::unordered_map<std::string, proto::VarDesc> var_map;
341
  for (const auto& var : *origin_vars) {
342 343
    var_map[var.name()] = var;
  }
344 345
  pruned_vars->Clear();

346 347 348 349
  std::unordered_set<std::string> var_names;
  var_names.insert(op_input_vars.begin(), op_input_vars.end());
  var_names.insert(op_output_vars.begin(), op_output_vars.end());
  for (const auto& name : var_names) {
350 351 352 353 354
    if (var_map.count(name)) {
      // NOTE(zhiqiu): For operator in a conditional block, the related vars may
      // not exist in current block, but in its futher block.
      *pruned_vars->Add() = var_map[name];
    }
355
  }
356
}  // namespace framework
357

358
std::tuple<framework::ProgramDesc, std::map<int, int>> PruneBackward(
359 360 361 362
    const framework::ProgramDesc& origin) {
  // Copy original ProgramDesc, origin can't be change
  framework::ProgramDesc origin_clone(origin);

363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378
  // Step 1. check if the program contains grad loss operator.
  // If not, the program need no pruning.
  bool has_loss_grad_op = false;
  std::queue<int> block_contains_loss;
  std::queue<int> block_contains_loss_grad;
  for (size_t i = 0; i < origin_clone.Size(); i++) {
    auto block_ops = origin_clone.Block(i).AllOps();
    for (auto op : block_ops) {
      int op_role = boost::get<int>(
          op->GetAttr(OpProtoAndCheckerMaker::OpRoleAttrName()));
      if (op_role == (static_cast<int>(OpRole::kBackward) |
                      static_cast<int>(OpRole::kLoss))) {
        op->SetIsTarget(false);
        has_loss_grad_op = true;
        break;
      }
379 380 381
    }
  }

382 383 384 385 386 387 388 389
  std::map<int, int> pruned_progin_block_id_map;
  if (!has_loss_grad_op) {
    // No pruning, fast return a copy of the origin ProgramDesc with an empty
    // map, means default mapped, i.e.{0:0, 1:1, ..., n:n}.
    return std::make_tuple(framework::ProgramDesc(origin_clone),
                           pruned_progin_block_id_map);
  }

390 391
  proto::ProgramDesc pruned_desc;
  pruned_desc.clear_blocks();
392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422
  // Step 2. Prune backward for each block.
  for (size_t i = 0; i < origin_clone.Size(); i++) {
    auto pruned = proto::BlockDesc();
    auto origin = origin_clone.Proto()->mutable_blocks(i);

    PruneBackwardImpl(origin, &pruned);
    // If pruned block contains no operator, it means the block is a
    // backward block and should be pruned.
    // Else, add the block to pruned_desc and update its id & parent_id.
    if (pruned.ops_size() > 0) {
      auto* block_field = pruned_desc.mutable_blocks();
      *block_field->Add() = pruned;

      auto pruned_block_id = pruned_desc.blocks_size() - 1;
      pruned_progin_block_id_map[pruned_block_id] = origin->idx();
      auto* pruned_block = pruned_desc.mutable_blocks(pruned_block_id);
      pruned_block->set_idx(pruned_block_id);

      if (origin->parent_idx() == -1) {
        pruned_block->set_parent_idx(-1);
      } else {
        auto parent_idx =
            FindMapByValue(pruned_progin_block_id_map, origin->parent_idx());
        PADDLE_ENFORCE_NE(parent_idx, -1,
                          platform::errors::NotFound(
                              "The origin parent block id is not found in "
                              "pruned_progin_block_id_map"));
        pruned_block->set_parent_idx(parent_idx);
      }
    }
  }
423

424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447
  // Step 3. Update subblock attribute for conditional operator.
  // This should be performed after all blocks pruned.
  for (int i = 0; i < pruned_desc.blocks_size(); i++) {
    auto* pruned = pruned_desc.mutable_blocks(i);
    auto* ops = pruned->mutable_ops();
    for (auto op_iter = ops->begin(); op_iter != ops->end(); ++op_iter) {
      auto& op_desc = *op_iter;
      if (HasSubBlock(op_desc)) {
        int origin_sub_idx = GetSubBlockIndex(op_desc);
        auto sub_idx =
            FindMapByValue(pruned_progin_block_id_map, origin_sub_idx);
        PADDLE_ENFORCE_NE(sub_idx, -1,
                          platform::errors::NotFound(
                              "The origin sub block id is not found in "
                              "pruned_progin_block_id_map"));
        SetSubBlockIndex(&op_desc, sub_idx);
      }
    }
  }

  // Step 4. Return a tuple
  return std::make_tuple(framework::ProgramDesc(pruned_desc),
                         pruned_progin_block_id_map);
}  // namespace framework
448

Y
Yang Yang 已提交
449 450
}  // namespace framework
}  // namespace paddle