add slot record support for GpuPS (#36723)

* add slotrecord datafeed (#36099)

* fix multi-node (#36329)

paddle/fluid/framework/data_feed.cc

@@ -28,6 +28,7 @@ limitations under the License. */
 #include "paddle/fluid/platform/timer.h"
 
 USE_INT_STAT(STAT_total_feasign_num_in_mem);
+DECLARE_bool(enable_ins_parser_file);
 namespace paddle {
 namespace framework {
 
@@ -1929,5 +1930,646 @@ void PaddleBoxDataFeed::PutToFeedVec(const std::vector<Record*>& ins_vec) {
 #endif
 }
 
+template class InMemoryDataFeed<SlotRecord>;
+void SlotRecordInMemoryDataFeed::Init(const DataFeedDesc& data_feed_desc) {
+  finish_init_ = false;
+  finish_set_filelist_ = false;
+  finish_start_ = false;
+  PADDLE_ENFORCE(data_feed_desc.has_multi_slot_desc(),
+                 platform::errors::PreconditionNotMet(
+                     "Multi_slot_desc has not been set in data_feed_desc"));
+  paddle::framework::MultiSlotDesc multi_slot_desc =
+      data_feed_desc.multi_slot_desc();
+  SetBatchSize(data_feed_desc.batch_size());
+  size_t all_slot_num = multi_slot_desc.slots_size();
+
+  all_slots_.resize(all_slot_num);
+  all_slots_info_.resize(all_slot_num);
+  used_slots_info_.resize(all_slot_num);
+  use_slot_size_ = 0;
+  use_slots_.clear();
+
+  float_total_dims_size_ = 0;
+  float_total_dims_without_inductives_.clear();
+  for (size_t i = 0; i < all_slot_num; ++i) {
+    const auto& slot = multi_slot_desc.slots(i);
+    all_slots_[i] = slot.name();
+
+    AllSlotInfo& all_slot = all_slots_info_[i];
+    all_slot.slot = slot.name();
+    all_slot.type = slot.type();
+    all_slot.used_idx = slot.is_used() ? use_slot_size_ : -1;
+    all_slot.slot_value_idx = -1;
+
+    if (slot.is_used()) {
+      UsedSlotInfo& info = used_slots_info_[use_slot_size_];
+      info.idx = i;
+      info.slot = slot.name();
+      info.type = slot.type();
+      info.dense = slot.is_dense();
+      info.total_dims_without_inductive = 1;
+      info.inductive_shape_index = -1;
+
+      // record float value and uint64_t value pos
+      if (info.type[0] == 'u') {
+        info.slot_value_idx = uint64_use_slot_size_;
+        all_slot.slot_value_idx = uint64_use_slot_size_;
+        ++uint64_use_slot_size_;
+      } else if (info.type[0] == 'f') {
+        info.slot_value_idx = float_use_slot_size_;
+        all_slot.slot_value_idx = float_use_slot_size_;
+        ++float_use_slot_size_;
+      }
+
+      use_slots_.push_back(slot.name());
+
+      if (slot.is_dense()) {
+        for (int j = 0; j < slot.shape_size(); ++j) {
+          if (slot.shape(j) > 0) {
+            info.total_dims_without_inductive *= slot.shape(j);
+          }
+          if (slot.shape(j) == -1) {
+            info.inductive_shape_index = j;
+          }
+        }
+      }
+      if (info.type[0] == 'f') {
+        float_total_dims_without_inductives_.push_back(
+            info.total_dims_without_inductive);
+        float_total_dims_size_ += info.total_dims_without_inductive;
+      }
+      info.local_shape.clear();
+      for (int j = 0; j < slot.shape_size(); ++j) {
+        info.local_shape.push_back(slot.shape(j));
+      }
+      ++use_slot_size_;
+    }
+  }
+  used_slots_info_.resize(use_slot_size_);
+
+  feed_vec_.resize(used_slots_info_.size());
+  const int kEstimatedFeasignNumPerSlot = 5;  // Magic Number
+  for (size_t i = 0; i < all_slot_num; i++) {
+    batch_float_feasigns_.push_back(std::vector<float>());
+    batch_uint64_feasigns_.push_back(std::vector<uint64_t>());
+    batch_float_feasigns_[i].reserve(default_batch_size_ *
+                                     kEstimatedFeasignNumPerSlot);
+    batch_uint64_feasigns_[i].reserve(default_batch_size_ *
+                                      kEstimatedFeasignNumPerSlot);
+    offset_.push_back(std::vector<size_t>());
+    offset_[i].reserve(default_batch_size_ +
+                       1);  // Each lod info will prepend a zero
+  }
+  visit_.resize(all_slot_num, false);
+  pipe_command_ = data_feed_desc.pipe_command();
+  finish_init_ = true;
+  input_type_ = data_feed_desc.input_type();
+  size_t pos = pipe_command_.find(".so");
+  if (pos != std::string::npos) {
+    pos = pipe_command_.rfind('|');
+    if (pos == std::string::npos) {
+      so_parser_name_ = pipe_command_;
+      pipe_command_.clear();
+    } else {
+      so_parser_name_ = pipe_command_.substr(pos + 1);
+      pipe_command_ = pipe_command_.substr(0, pos);
+    }
+    so_parser_name_ = paddle::string::erase_spaces(so_parser_name_);
+  } else {
+    so_parser_name_.clear();
+  }
+}
+
+void SlotRecordInMemoryDataFeed::LoadIntoMemory() {
+  VLOG(3) << "SlotRecord LoadIntoMemory() begin, thread_id=" << thread_id_;
+  if (!so_parser_name_.empty()) {
+    LoadIntoMemoryByLib();
+  } else {
+    LoadIntoMemoryByCommand();
+  }
+}
+void SlotRecordInMemoryDataFeed::LoadIntoMemoryByLib(void) {
+  if (true) {
+    // user defined file format analysis
+    LoadIntoMemoryByFile();
+  } else {
+    LoadIntoMemoryByLine();
+  }
+}
+
+void SlotRecordInMemoryDataFeed::LoadIntoMemoryByFile(void) {
+#ifdef _LINUX
+  paddle::framework::CustomParser* parser =
+      global_dlmanager_pool().Load(so_parser_name_, all_slots_info_);
+  CHECK(parser != nullptr);
+  // get slotrecord object
+  auto pull_record_func = [this](std::vector<SlotRecord>& record_vec,
+                                 int max_fetch_num, int offset) {
+    if (offset > 0) {
+      input_channel_->WriteMove(offset, &record_vec[0]);
+      if (max_fetch_num > 0) {
+        SlotRecordPool().get(&record_vec[0], offset);
+      } else {  // free all
+        max_fetch_num = static_cast<int>(record_vec.size());
+        if (max_fetch_num > offset) {
+          SlotRecordPool().put(&record_vec[offset], (max_fetch_num - offset));
+        }
+      }
+    } else if (max_fetch_num > 0) {
+      SlotRecordPool().get(&record_vec, max_fetch_num);
+    } else {
+      SlotRecordPool().put(&record_vec);
+    }
+  };
+
+  std::string filename;
+  while (this->PickOneFile(&filename)) {
+    VLOG(3) << "PickOneFile, filename=" << filename
+            << ", thread_id=" << thread_id_;
+    platform::Timer timeline;
+    timeline.Start();
+
+    int lines = 0;
+    bool is_ok = true;
+    do {
+      int err_no = 0;
+      this->fp_ = fs_open_read(filename, &err_no, this->pipe_command_);
+
+      CHECK(this->fp_ != nullptr);
+      __fsetlocking(&*(this->fp_), FSETLOCKING_BYCALLER);
+      is_ok = parser->ParseFileInstance(
+          [this](char* buf, int len) {
+            return fread(buf, sizeof(char), len, this->fp_.get());
+          },
+          pull_record_func, lines);
+
+      if (!is_ok) {
+        LOG(WARNING) << "parser error, filename=" << filename
+                     << ", lines=" << lines;
+      }
+    } while (!is_ok);
+    timeline.Pause();
+    VLOG(3) << "LoadIntoMemoryByLib() read all file, file=" << filename
+            << ", cost time=" << timeline.ElapsedSec()
+            << " seconds, thread_id=" << thread_id_ << ", lines=" << lines;
+  }
+#endif
+}
+
+void SlotRecordInMemoryDataFeed::LoadIntoMemoryByLine(void) {
+#ifdef _LINUX
+  paddle::framework::CustomParser* parser =
+      global_dlmanager_pool().Load(so_parser_name_, all_slots_info_);
+  std::string filename;
+  BufferedLineFileReader line_reader;
+  line_reader.set_sample_rate(sample_rate_);
+  BufferedLineFileReader::LineFunc line_func = nullptr;
+
+  while (this->PickOneFile(&filename)) {
+    VLOG(3) << "PickOneFile, filename=" << filename
+            << ", thread_id=" << thread_id_;
+    std::vector<SlotRecord> record_vec;
+    platform::Timer timeline;
+    timeline.Start();
+    int offset = 0;
+    int old_offset = 0;
+
+    SlotRecordPool().get(&record_vec, OBJPOOL_BLOCK_SIZE);
+    // get slotrecord object function
+    auto record_func = [this, &offset, &record_vec, &old_offset](
+        std::vector<SlotRecord>& vec, int num) {
+      vec.resize(num);
+      if (offset + num > OBJPOOL_BLOCK_SIZE) {
+        input_channel_->WriteMove(offset, &record_vec[0]);
+        SlotRecordPool().get(&record_vec[0], offset);
+        record_vec.resize(OBJPOOL_BLOCK_SIZE);
+        offset = 0;
+        old_offset = 0;
+      }
+      for (int i = 0; i < num; ++i) {
+        auto& ins = record_vec[offset + i];
+        ins->reset();
+        vec[i] = ins;
+      }
+      offset = offset + num;
+    };
+
+    line_func = [this, &parser, &record_vec, &offset, &filename, &record_func,
+                 &old_offset](const std::string& line) {
+      old_offset = offset;
+      if (!parser->ParseOneInstance(line, record_func)) {
+        offset = old_offset;
+        LOG(WARNING) << "read file:[" << filename << "] item error, line:["
+                     << line << "]";
+        return false;
+      }
+      if (offset >= OBJPOOL_BLOCK_SIZE) {
+        input_channel_->Write(std::move(record_vec));
+        record_vec.clear();
+        SlotRecordPool().get(&record_vec, OBJPOOL_BLOCK_SIZE);
+        offset = 0;
+      }
+      return true;
+    };
+
+    int lines = 0;
+
+    do {
+      int err_no = 0;
+      this->fp_ = fs_open_read(filename, &err_no, this->pipe_command_);
+      CHECK(this->fp_ != nullptr);
+      __fsetlocking(&*(this->fp_), FSETLOCKING_BYCALLER);
+      lines = line_reader.read_file(this->fp_.get(), line_func, lines);
+    } while (line_reader.is_error());
+
+    if (offset > 0) {
+      input_channel_->WriteMove(offset, &record_vec[0]);
+      if (offset < OBJPOOL_BLOCK_SIZE) {
+        SlotRecordPool().put(&record_vec[offset],
+                             (OBJPOOL_BLOCK_SIZE - offset));
+      }
+    } else {
+      SlotRecordPool().put(&record_vec);
+    }
+    record_vec.clear();
+    record_vec.shrink_to_fit();
+    timeline.Pause();
+    VLOG(3) << "LoadIntoMemoryByLib() read all lines, file=" << filename
+            << ", cost time=" << timeline.ElapsedSec()
+            << " seconds, thread_id=" << thread_id_ << ", lines=" << lines
+            << ", sample lines=" << line_reader.get_sample_line()
+            << ", filesize=" << line_reader.file_size() / 1024.0 / 1024.0
+            << "MB";
+  }
+
+  VLOG(3) << "LoadIntoMemoryByLib() end, thread_id=" << thread_id_
+          << ", total size: " << line_reader.file_size();
+#endif
+}
+
+void SlotRecordInMemoryDataFeed::LoadIntoMemoryByCommand(void) {
+#ifdef _LINUX
+  std::string filename;
+  BufferedLineFileReader line_reader;
+  line_reader.set_sample_rate(sample_rate_);
+
+  while (this->PickOneFile(&filename)) {
+    VLOG(3) << "PickOneFile, filename=" << filename
+            << ", thread_id=" << thread_id_;
+    int lines = 0;
+    std::vector<SlotRecord> record_vec;
+    platform::Timer timeline;
+    timeline.Start();
+    SlotRecordPool().get(&record_vec, OBJPOOL_BLOCK_SIZE);
+    int offset = 0;
+
+    do {
+      int err_no = 0;
+      this->fp_ = fs_open_read(filename, &err_no, this->pipe_command_);
+      CHECK(this->fp_ != nullptr);
+      __fsetlocking(&*(this->fp_), FSETLOCKING_BYCALLER);
+
+      lines = line_reader.read_file(
+          this->fp_.get(),
+          [this, &record_vec, &offset, &filename](const std::string& line) {
+            if (ParseOneInstance(line, &record_vec[offset])) {
+              ++offset;
+            } else {
+              LOG(WARNING) << "read file:[" << filename
+                           << "] item error, line:[" << line << "]";
+              return false;
+            }
+            if (offset >= OBJPOOL_BLOCK_SIZE) {
+              input_channel_->Write(std::move(record_vec));
+              record_vec.clear();
+              SlotRecordPool().get(&record_vec, OBJPOOL_BLOCK_SIZE);
+              offset = 0;
+            }
+            return true;
+          },
+          lines);
+    } while (line_reader.is_error());
+    if (offset > 0) {
+      input_channel_->WriteMove(offset, &record_vec[0]);
+      if (offset < OBJPOOL_BLOCK_SIZE) {
+        SlotRecordPool().put(&record_vec[offset],
+                             (OBJPOOL_BLOCK_SIZE - offset));
+      }
+    } else {
+      SlotRecordPool().put(&record_vec);
+    }
+    record_vec.clear();
+    record_vec.shrink_to_fit();
+    timeline.Pause();
+    VLOG(3) << "LoadIntoMemory() read all lines, file=" << filename
+            << ", lines=" << lines
+            << ", sample lines=" << line_reader.get_sample_line()
+            << ", cost time=" << timeline.ElapsedSec()
+            << " seconds, thread_id=" << thread_id_;
+  }
+  VLOG(3) << "LoadIntoMemory() end, thread_id=" << thread_id_
+          << ", total size: " << line_reader.file_size();
+#endif
+}
+
+static void parser_log_key(const std::string& log_key, uint64_t* search_id,
+                           uint32_t* cmatch, uint32_t* rank) {
+  std::string searchid_str = log_key.substr(16, 16);
+  *search_id = static_cast<uint64_t>(strtoull(searchid_str.c_str(), NULL, 16));
+  std::string cmatch_str = log_key.substr(11, 3);
+  *cmatch = static_cast<uint32_t>(strtoul(cmatch_str.c_str(), NULL, 16));
+  std::string rank_str = log_key.substr(14, 2);
+  *rank = static_cast<uint32_t>(strtoul(rank_str.c_str(), NULL, 16));
+}
+
+bool SlotRecordInMemoryDataFeed::ParseOneInstance(const std::string& line,
+                                                  SlotRecord* ins) {
+  SlotRecord& rec = (*ins);
+  // parse line
+  const char* str = line.c_str();
+  char* endptr = const_cast<char*>(str);
+  int pos = 0;
+
+  thread_local std::vector<std::vector<float>> slot_float_feasigns;
+  thread_local std::vector<std::vector<uint64_t>> slot_uint64_feasigns;
+  slot_float_feasigns.resize(float_use_slot_size_);
+  slot_uint64_feasigns.resize(uint64_use_slot_size_);
+
+  if (parse_ins_id_) {
+    int num = strtol(&str[pos], &endptr, 10);
+    CHECK(num == 1);  // NOLINT
+    pos = endptr - str + 1;
+    size_t len = 0;
+    while (str[pos + len] != ' ') {
+      ++len;
+    }
+    rec->ins_id_ = std::string(str + pos, len);
+    pos += len + 1;
+  }
+  if (parse_logkey_) {
+    int num = strtol(&str[pos], &endptr, 10);
+    CHECK(num == 1);  // NOLINT
+    pos = endptr - str + 1;
+    size_t len = 0;
+    while (str[pos + len] != ' ') {
+      ++len;
+    }
+    // parse_logkey
+    std::string log_key = std::string(str + pos, len);
+    uint64_t search_id;
+    uint32_t cmatch;
+    uint32_t rank;
+    parser_log_key(log_key, &search_id, &cmatch, &rank);
+
+    rec->ins_id_ = log_key;
+    rec->search_id = search_id;
+    rec->cmatch = cmatch;
+    rec->rank = rank;
+    pos += len + 1;
+  }
+
+  int float_total_slot_num = 0;
+  int uint64_total_slot_num = 0;
+
+  for (size_t i = 0; i < all_slots_info_.size(); ++i) {
+    auto& info = all_slots_info_[i];
+    int num = strtol(&str[pos], &endptr, 10);
+    PADDLE_ENFORCE(num,
+                   "The number of ids can not be zero, you need padding "
+                   "it in data generator; or if there is something wrong with "
+                   "the data, please check if the data contains unresolvable "
+                   "characters.\nplease check this error line: %s",
+                   str);
+    if (info.used_idx != -1) {
+      if (info.type[0] == 'f') {  // float
+        auto& slot_fea = slot_float_feasigns[info.slot_value_idx];
+        slot_fea.clear();
+        for (int j = 0; j < num; ++j) {
+          float feasign = strtof(endptr, &endptr);
+          if (fabs(feasign) < 1e-6 && !used_slots_info_[info.used_idx].dense) {
+            continue;
+          }
+          slot_fea.push_back(feasign);
+          ++float_total_slot_num;
+        }
+      } else if (info.type[0] == 'u') {  // uint64
+        auto& slot_fea = slot_uint64_feasigns[info.slot_value_idx];
+        slot_fea.clear();
+        for (int j = 0; j < num; ++j) {
+          uint64_t feasign =
+              static_cast<uint64_t>(strtoull(endptr, &endptr, 10));
+          if (feasign == 0 && !used_slots_info_[info.used_idx].dense) {
+            continue;
+          }
+          slot_fea.push_back(feasign);
+          ++uint64_total_slot_num;
+        }
+      }
+      pos = endptr - str;
+    } else {
+      for (int j = 0; j <= num; ++j) {
+        // pos = line.find_first_of(' ', pos + 1);
+        while (line[pos + 1] != ' ') {
+          pos++;
+        }
+      }
+    }
+  }
+  rec->slot_float_feasigns_.add_slot_feasigns(slot_float_feasigns,
+                                              float_total_slot_num);
+  rec->slot_uint64_feasigns_.add_slot_feasigns(slot_uint64_feasigns,
+                                               uint64_total_slot_num);
+
+  return (uint64_total_slot_num > 0);
+}
+
+void SlotRecordInMemoryDataFeed::PutToFeedVec(const SlotRecord* ins_vec,
+                                              int num) {
+  for (int j = 0; j < use_slot_size_; ++j) {
+    auto& feed = feed_vec_[j];
+    if (feed == nullptr) {
+      continue;
+    }
+
+    auto& slot_offset = offset_[j];
+    slot_offset.clear();
+    slot_offset.reserve(num + 1);
+    slot_offset.push_back(0);
+
+    int total_instance = 0;
+    auto& info = used_slots_info_[j];
+    // fill slot value with default value 0
+    if (info.type[0] == 'f') {  // float
+      auto& batch_fea = batch_float_feasigns_[j];
+      batch_fea.clear();
+
+      for (int i = 0; i < num; ++i) {
+        auto r = ins_vec[i];
+        size_t fea_num = 0;
+        float* slot_values =
+            r->slot_float_feasigns_.get_values(info.slot_value_idx, &fea_num);
+        batch_fea.resize(total_instance + fea_num);
+        memcpy(&batch_fea[total_instance], slot_values,
+               sizeof(float) * fea_num);
+        total_instance += fea_num;
+        slot_offset.push_back(total_instance);
+      }
+
+      float* feasign = batch_fea.data();
+      float* tensor_ptr =
+          feed->mutable_data<float>({total_instance, 1}, this->place_);
+      CopyToFeedTensor(tensor_ptr, feasign, total_instance * sizeof(float));
+
+    } else if (info.type[0] == 'u') {  // uint64
+      auto& batch_fea = batch_uint64_feasigns_[j];
+      batch_fea.clear();
+
+      for (int i = 0; i < num; ++i) {
+        auto r = ins_vec[i];
+        size_t fea_num = 0;
+        uint64_t* slot_values =
+            r->slot_uint64_feasigns_.get_values(info.slot_value_idx, &fea_num);
+        if (fea_num > 0) {
+          batch_fea.resize(total_instance + fea_num);
+          memcpy(&batch_fea[total_instance], slot_values,
+                 sizeof(uint64_t) * fea_num);
+          total_instance += fea_num;
+        }
+        if (fea_num == 0) {
+          batch_fea.resize(total_instance + fea_num);
+          batch_fea[total_instance] = 0;
+          total_instance += 1;
+        }
+        slot_offset.push_back(total_instance);
+      }
+
+      // no uint64_t type in paddlepaddle
+      uint64_t* feasign = batch_fea.data();
+      int64_t* tensor_ptr =
+          feed->mutable_data<int64_t>({total_instance, 1}, this->place_);
+      CopyToFeedTensor(tensor_ptr, feasign, total_instance * sizeof(int64_t));
+    }
+
+    if (info.dense) {
+      if (info.inductive_shape_index != -1) {
+        info.local_shape[info.inductive_shape_index] =
+            total_instance / info.total_dims_without_inductive;
+      }
+      feed->Resize(framework::make_ddim(info.local_shape));
+    } else {
+      LoD data_lod{slot_offset};
+      feed_vec_[j]->set_lod(data_lod);
+    }
+  }
+}
+
+void SlotRecordInMemoryDataFeed::ExpandSlotRecord(SlotRecord* rec) {
+  SlotRecord& ins = (*rec);
+  if (ins->slot_float_feasigns_.slot_offsets.empty()) {
+    return;
+  }
+  size_t total_value_size = ins->slot_float_feasigns_.slot_values.size();
+  if (float_total_dims_size_ == total_value_size) {
+    return;
+  }
+  int float_slot_num =
+      static_cast<int>(float_total_dims_without_inductives_.size());
+  CHECK(float_slot_num == float_use_slot_size_);
+  std::vector<float> old_values;
+  std::vector<uint32_t> old_offsets;
+  old_values.swap(ins->slot_float_feasigns_.slot_values);
+  old_offsets.swap(ins->slot_float_feasigns_.slot_offsets);
+
+  ins->slot_float_feasigns_.slot_values.resize(float_total_dims_size_);
+  ins->slot_float_feasigns_.slot_offsets.assign(float_slot_num + 1, 0);
+
+  auto& slot_offsets = ins->slot_float_feasigns_.slot_offsets;
+  auto& slot_values = ins->slot_float_feasigns_.slot_values;
+
+  uint32_t offset = 0;
+  int num = 0;
+  uint32_t old_off = 0;
+  int dim = 0;
+
+  for (int i = 0; i < float_slot_num; ++i) {
+    dim = float_total_dims_without_inductives_[i];
+    old_off = old_offsets[i];
+    num = static_cast<int>(old_offsets[i + 1] - old_off);
+    if (num == 0) {
+      // fill slot value with default value 0
+      for (int k = 0; k < dim; ++k) {
+        slot_values[k + offset] = 0.0;
+      }
+    } else {
+      if (num == dim) {
+        memcpy(&slot_values[offset], &old_values[old_off], dim * sizeof(float));
+      } else {
+        // position fea
+        // record position index need fix values
+        int pos_idx = static_cast<int>(old_values[old_off]);
+        for (int k = 0; k < dim; ++k) {
+          if (k == pos_idx) {
+            slot_values[k + offset] = 1.0;
+          } else {
+            slot_values[k + offset] = 0.0;
+          }
+        }
+      }
+    }
+    slot_offsets[i] = offset;
+    offset += dim;
+  }
+  slot_offsets[float_slot_num] = offset;
+  CHECK(float_total_dims_size_ == static_cast<size_t>(offset));
+}
+
+bool SlotRecordInMemoryDataFeed::Start() {
+#ifdef _LINUX
+  this->CheckSetFileList();
+  if (input_channel_->Size() != 0) {
+    std::vector<SlotRecord> data;
+    input_channel_->Read(data);
+  }
+#endif
+  if (batch_offsets_.size() > 0) {
+    VLOG(3) << "batch_size offsets: " << batch_offsets_.size();
+    enable_heterps_ = true;
+    this->offset_index_ = 0;
+  }
+  this->finish_start_ = true;
+  return true;
+}
+
+int SlotRecordInMemoryDataFeed::Next() {
+#ifdef _LINUX
+  this->CheckStart();
+
+  VLOG(3) << "enable heter next: " << offset_index_
+          << " batch_offsets: " << batch_offsets_.size();
+  if (offset_index_ >= batch_offsets_.size()) {
+    VLOG(3) << "offset_index: " << offset_index_
+            << " batch_offsets: " << batch_offsets_.size();
+    return 0;
+  }
+  auto& batch = batch_offsets_[offset_index_++];
+  this->batch_size_ = batch.second;
+  VLOG(3) << "batch_size_=" << this->batch_size_
+          << ", thread_id=" << thread_id_;
+  if (this->batch_size_ != 0) {
+    PutToFeedVec(&records_[batch.first], this->batch_size_);
+  } else {
+    VLOG(3) << "finish reading for heterps, batch size zero, thread_id="
+            << thread_id_;
+  }
+  VLOG(3) << "enable heter next: " << offset_index_
+          << " batch_offsets: " << batch_offsets_.size()
+          << " baych_size: " << this->batch_size_;
+
+  return this->batch_size_;
+#else
+  return 0;
+#endif
+}
+
 }  // namespace framework
 }  // namespace paddle

paddle/fluid/framework/data_feed.h

@@ -384,7 +384,7 @@ class CustomParser {
   CustomParser() {}
   virtual ~CustomParser() {}
   virtual void Init(const std::vector<SlotConf>& slots) = 0;
-  virtual bool Init(const std::vector<AllSlotInfo>& slots) = 0;
+  virtual bool Init(const std::vector<AllSlotInfo>& slots);
   virtual void ParseOneInstance(const char* str, Record* instance) = 0;
   virtual bool ParseOneInstance(
       const std::string& line,
@@ -1103,6 +1103,42 @@ class MultiSlotInMemoryDataFeed : public InMemoryDataFeed<Record> {
   virtual void PutToFeedVec(const Record* ins_vec, int num);
 };
 
+class SlotRecordInMemoryDataFeed : public InMemoryDataFeed<SlotRecord> {
+ public:
+  SlotRecordInMemoryDataFeed() {}
+  virtual ~SlotRecordInMemoryDataFeed() {}
+  virtual void Init(const DataFeedDesc& data_feed_desc);
+  virtual void LoadIntoMemory();
+  void ExpandSlotRecord(SlotRecord* ins);
+
+ protected:
+  virtual bool Start();
+  virtual int Next();
+  virtual bool ParseOneInstance(SlotRecord* instance) { return false; }
+  virtual bool ParseOneInstanceFromPipe(SlotRecord* instance) { return false; }
+  // virtual void ParseOneInstanceFromSo(const char* str, T* instance,
+  //                                    CustomParser* parser) {}
+  virtual void PutToFeedVec(const std::vector<SlotRecord>& ins_vec) {}
+
+  virtual void LoadIntoMemoryByCommand(void);
+  virtual void LoadIntoMemoryByLib(void);
+  virtual void LoadIntoMemoryByLine(void);
+  virtual void LoadIntoMemoryByFile(void);
+  virtual void SetInputChannel(void* channel) {
+    input_channel_ = static_cast<ChannelObject<SlotRecord>*>(channel);
+  }
+  bool ParseOneInstance(const std::string& line, SlotRecord* rec);
+  virtual void PutToFeedVec(const SlotRecord* ins_vec, int num);
+  float sample_rate_ = 1.0f;
+  int use_slot_size_ = 0;
+  int float_use_slot_size_ = 0;
+  int uint64_use_slot_size_ = 0;
+  std::vector<AllSlotInfo> all_slots_info_;
+  std::vector<UsedSlotInfo> used_slots_info_;
+  size_t float_total_dims_size_ = 0;
+  std::vector<int> float_total_dims_without_inductives_;
+};
+
 class PaddleBoxDataFeed : public MultiSlotInMemoryDataFeed {
  public:
   PaddleBoxDataFeed() {}

paddle/fluid/framework/data_feed_factory.cc

@@ -58,8 +58,8 @@ std::shared_ptr<DataFeed> DataFeedFactory::CreateDataFeed(
     std::string data_feed_class) {
   if (g_data_feed_map.count(data_feed_class) < 1) {
     LOG(WARNING) << "Your DataFeed " << data_feed_class
-                 << "is not supported currently";
-    LOG(WARNING) << "Supported DataFeed: " << DataFeedTypeList();
+                 << " is not supported currently";
+    LOG(WARNING) << " Supported DataFeed: " << DataFeedTypeList();
     exit(-1);
   }
   return g_data_feed_map[data_feed_class]();
@@ -68,6 +68,7 @@ std::shared_ptr<DataFeed> DataFeedFactory::CreateDataFeed(
 REGISTER_DATAFEED_CLASS(MultiSlotDataFeed);
 REGISTER_DATAFEED_CLASS(MultiSlotInMemoryDataFeed);
 REGISTER_DATAFEED_CLASS(PaddleBoxDataFeed);
+REGISTER_DATAFEED_CLASS(SlotRecordInMemoryDataFeed);
 #if (defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)) && !defined(_WIN32)
 REGISTER_DATAFEED_CLASS(MultiSlotFileInstantDataFeed);
 #endif

paddle/fluid/framework/data_set.cc

@@ -1609,7 +1609,35 @@ void SlotRecordDataset::DynamicAdjustChannelNum(int channel_num,
 
 void SlotRecordDataset::PrepareTrain() {
 #ifdef PADDLE_WITH_GLOO
-  return;
+  if (enable_heterps_) {
+    if (input_records_.size() == 0 && input_channel_ != nullptr &&
+        input_channel_->Size() != 0) {
+      input_channel_->ReadAll(input_records_);
+      VLOG(3) << "read from channel to records with records size: "
+              << input_records_.size();
+    }
+    VLOG(3) << "input records size: " << input_records_.size();
+    int64_t total_ins_num = input_records_.size();
+    std::vector<std::pair<int, int>> offset;
+    int default_batch_size =
+        reinterpret_cast<SlotRecordInMemoryDataFeed*>(readers_[0].get())
+            ->GetDefaultBatchSize();
+    VLOG(3) << "thread_num: " << thread_num_
+            << " memory size: " << total_ins_num
+            << " default batch_size: " << default_batch_size;
+    compute_thread_batch_nccl(thread_num_, total_ins_num, default_batch_size,
+                              &offset);
+    VLOG(3) << "offset size: " << offset.size();
+    for (int i = 0; i < thread_num_; i++) {
+      reinterpret_cast<SlotRecordInMemoryDataFeed*>(readers_[i].get())
+          ->SetRecord(&input_records_[0]);
+    }
+    for (size_t i = 0; i < offset.size(); i++) {
+      reinterpret_cast<SlotRecordInMemoryDataFeed*>(
+          readers_[i % thread_num_].get())
+          ->AddBatchOffset(offset[i]);
+    }
+  }
 #else
   PADDLE_THROW(platform::errors::Unavailable(
       "dataset set heterps need compile with GLOO"));

paddle/fluid/framework/fleet/ps_gpu_wrapper.cc

@@ -45,9 +45,7 @@ void PSGPUWrapper::BuildTask(std::shared_ptr<HeterContext> gpu_task) {
   platform::Timer timeline;
   timeline.Start();
   int device_num = heter_devices_.size();
-  MultiSlotDataset* dataset = dynamic_cast<MultiSlotDataset*>(dataset_);
   gpu_task->init(thread_keys_shard_num_, device_num);
-  auto input_channel = dataset->GetInputChannel();
   auto& local_keys = gpu_task->feature_keys_;
   auto& local_ptr = gpu_task->value_ptr_;
 
@@ -68,35 +66,83 @@ void PSGPUWrapper::BuildTask(std::shared_ptr<HeterContext> gpu_task) {
   for (int i = 0; i < thread_keys_thread_num_; i++) {
     thread_keys_[i].resize(thread_keys_shard_num_);
   }
-  const std::deque<Record>& vec_data = input_channel->GetData();
-  size_t total_len = vec_data.size();
-  size_t len_per_thread = total_len / thread_keys_thread_num_;
-  int remain = total_len % thread_keys_thread_num_;
+
+  size_t total_len = 0;
+  size_t len_per_thread = 0;
+  int remain = 0;
   size_t begin = 0;
-  auto gen_func = [this](const std::deque<Record>& total_data, int begin_index,
-                         int end_index, int i) {
-    for (auto iter = total_data.begin() + begin_index;
-         iter != total_data.begin() + end_index; iter++) {
-      const auto& ins = *iter;
-      const auto& feasign_v = ins.uint64_feasigns_;
-      for (const auto feasign : feasign_v) {
-        uint64_t cur_key = feasign.sign().uint64_feasign_;
-        int shard_id = cur_key % thread_keys_shard_num_;
-        this->thread_keys_[i][shard_id].insert(cur_key);
+
+  std::string data_set_name = std::string(typeid(*dataset_).name());
+
+  if (data_set_name.find("SlotRecordDataset") != std::string::npos) {
+    VLOG(0) << "ps_gpu_wrapper use SlotRecordDataset";
+    SlotRecordDataset* dataset = dynamic_cast<SlotRecordDataset*>(dataset_);
+    auto input_channel = dataset->GetInputChannel();
+    VLOG(0) << "yxf::buildtask::inputslotchannle size: "
+            << input_channel->Size();
+    const std::deque<SlotRecord>& vec_data = input_channel->GetData();
+    total_len = vec_data.size();
+    len_per_thread = total_len / thread_keys_thread_num_;
+    remain = total_len % thread_keys_thread_num_;
+    VLOG(0) << "total len: " << total_len;
+    auto gen_func = [this](const std::deque<SlotRecord>& total_data,
+                           int begin_index, int end_index, int i) {
+      for (auto iter = total_data.begin() + begin_index;
+           iter != total_data.begin() + end_index; iter++) {
+        const auto& ins = *iter;
+        const auto& feasign_v = ins->slot_uint64_feasigns_.slot_values;
+        for (const auto feasign : feasign_v) {
+          int shard_id = feasign % thread_keys_shard_num_;
+          this->thread_keys_[i][shard_id].insert(feasign);
+        }
       }
+    };
+    for (int i = 0; i < thread_keys_thread_num_; i++) {
+      threads.push_back(
+          std::thread(gen_func, std::ref(vec_data), begin,
+                      begin + len_per_thread + (i < remain ? 1 : 0), i));
+      begin += len_per_thread + (i < remain ? 1 : 0);
     }
-  };
-  for (int i = 0; i < thread_keys_thread_num_; i++) {
-    threads.push_back(std::thread(gen_func, std::ref(vec_data), begin,
-                                  begin + len_per_thread + (i < remain ? 1 : 0),
-                                  i));
-    begin += len_per_thread + (i < remain ? 1 : 0);
-  }
-  for (std::thread& t : threads) {
-    t.join();
+    for (std::thread& t : threads) {
+      t.join();
+    }
+    timeline.Pause();
+    VLOG(1) << "GpuPs build task cost " << timeline.ElapsedSec() << " seconds.";
+  } else {
+    CHECK(data_set_name.find("MultiSlotDataset") != std::string::npos);
+    VLOG(0) << "ps_gpu_wrapper use MultiSlotDataset";
+    MultiSlotDataset* dataset = dynamic_cast<MultiSlotDataset*>(dataset_);
+    auto input_channel = dataset->GetInputChannel();
+
+    const std::deque<Record>& vec_data = input_channel->GetData();
+    total_len = vec_data.size();
+    len_per_thread = total_len / thread_keys_thread_num_;
+    remain = total_len % thread_keys_thread_num_;
+    auto gen_func = [this](const std::deque<Record>& total_data,
+                           int begin_index, int end_index, int i) {
+      for (auto iter = total_data.begin() + begin_index;
+           iter != total_data.begin() + end_index; iter++) {
+        const auto& ins = *iter;
+        const auto& feasign_v = ins.uint64_feasigns_;
+        for (const auto feasign : feasign_v) {
+          uint64_t cur_key = feasign.sign().uint64_feasign_;
+          int shard_id = cur_key % thread_keys_shard_num_;
+          this->thread_keys_[i][shard_id].insert(cur_key);
+        }
+      }
+    };
+    for (int i = 0; i < thread_keys_thread_num_; i++) {
+      threads.push_back(
+          std::thread(gen_func, std::ref(vec_data), begin,
+                      begin + len_per_thread + (i < remain ? 1 : 0), i));
+      begin += len_per_thread + (i < remain ? 1 : 0);
+    }
+    for (std::thread& t : threads) {
+      t.join();
+    }
+    timeline.Pause();
+    VLOG(1) << "GpuPs build task cost " << timeline.ElapsedSec() << " seconds.";
   }
-  timeline.Pause();
-  VLOG(1) << "GpuPs build task cost " << timeline.ElapsedSec() << " seconds.";
 
   timeline.Start();
 

paddle/fluid/framework/fleet/ps_gpu_wrapper.h

@@ -117,6 +117,15 @@ class PSGPUWrapper {
       resource_ = std::make_shared<HeterPsResource>(dev_ids);
       resource_->enable_p2p();
       keys_tensor.resize(resource_->total_gpu());
+#ifdef PADDLE_WITH_GLOO
+      auto gloo = paddle::framework::GlooWrapper::GetInstance();
+      if (gloo->Size() > 1) {
+        multi_node_ = 1;
+      }
+#else
+      PADDLE_THROW(
+          platform::errors::Unavailable("heter ps need compile with GLOO"));
+#endif
       if (multi_node_) {
         int dev_size = dev_ids.size();
         // init inner comm
@@ -127,7 +136,6 @@ class PSGPUWrapper {
 // init inter comm
 #ifdef PADDLE_WITH_GLOO
         inter_comms_.resize(dev_size);
-        auto gloo = paddle::framework::GlooWrapper::GetInstance();
         if (gloo->Rank() == 0) {
           for (int i = 0; i < dev_size; ++i) {
             platform::dynload::ncclGetUniqueId(&inter_ncclids_[i]);

paddle/fluid/platform/collective_helper.cc

@@ -148,7 +148,7 @@ void NCCLCommContext::CreateNCCLCommMultiTrainer(
       paddle::platform::errors::InvalidArgument(
           "dev ids = [%d], it should greater than 0.", dev_ids.size()));
   const int kDevices = dev_ids.size();
-  VLOG(3) << "Begin CreateNCCLCommMultiTrainer. device number: " << kDevices
+  VLOG(1) << "Begin CreateNCCLCommMultiTrainer. device number: " << kDevices
           << ", ntrainers: " << ntrainers << ", train_id: " << train_id
           << ", rind_id: " << ring_id;
   ncclComm_t comms[kDevices];
@@ -162,10 +162,10 @@ void NCCLCommContext::CreateNCCLCommMultiTrainer(
 #endif
       platform::dynload::ncclCommInitRank(comms + i, kDevices * ntrainers,
                                           *nccl_id, train_id * kDevices + i);
-      VLOG(3) << "ncclCommInitRank: " << i;
+      VLOG(1) << "ncclCommInitRank: " << i;
     }
     PADDLE_ENFORCE_CUDA_SUCCESS(dynload::ncclGroupEnd());
-    VLOG(3) << "nccl group end seccessss";
+    VLOG(1) << "nccl group end seccessss";
   }
   PADDLE_ENFORCE_EQ(comm_map_.count(ring_id), 0,
                     platform::errors::InvalidArgument(
@@ -174,7 +174,7 @@ void NCCLCommContext::CreateNCCLCommMultiTrainer(
   for (int i = 0; i < kDevices; ++i) {
     AssignNCCLComm(comms[i], kDevices * ntrainers, train_id * kDevices + i,
                    dev_ids[i], ring_id);
-    VLOG(3) << "nccl communicator of train_id " << train_id * kDevices + i
+    VLOG(1) << "nccl communicator of train_id " << train_id * kDevices + i
             << " in ring " << ring_id << " has been created on device "
             << dev_ids[i];
   }

paddle/fluid/platform/flags.cc

@@ -680,4 +680,6 @@ DEFINE_int32(slotpool_thread_num, 1, "SlotRecordDataset slot pool thread num");
 DEFINE_bool(enable_slotpool_wait_release, false,
             "enable slotrecord obejct wait release, default false");
 DEFINE_bool(enable_slotrecord_reset_shrink, false,
-            "enable slotrecord obejct reset shrink memory, default false");
\ No newline at end of file
+            "enable slotrecord obejct reset shrink memory, default false");
+DEFINE_bool(enable_ins_parser_file, false,
+            "enable parser ins file , default false");

python/paddle/fluid/dataset.py

@@ -396,6 +396,8 @@ class InMemoryDataset(DatasetBase):
         Set data_feed_desc
         """
         self.proto_desc.name = data_feed_type
+        if (self.proto_desc.name == "SlotRecordInMemoryDataFeed"):
+            self.dataset = core.Dataset("SlotRecordDataset")
 
     @deprecated(
         since="2.0.0",