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Paddle/paddle/fluid/framework/data_feed.cc

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/* Copyright (c) 2016 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. */
#if defined _WIN32 || defined __APPLE__
#else
#define _LINUX
#endif
#include "paddle/fluid/framework/data_feed.h"
#ifdef _LINUX
#include <stdio_ext.h>
#endif
#include <utility>
#include "gflags/gflags.h"
#include "google/protobuf/io/zero_copy_stream_impl.h"
#include "google/protobuf/message.h"
#include "google/protobuf/text_format.h"
#include "io/fs.h"
#include "io/shell.h"
#include "paddle/fluid/framework/feed_fetch_method.h"
#include "paddle/fluid/framework/feed_fetch_type.h"
#include "paddle/fluid/platform/timer.h"
namespace paddle {
namespace framework {
void DataFeed::AddFeedVar(Variable* var, const std::string& name) {
CheckInit();
for (size_t i = 0; i < use_slots_.size(); ++i) {
if (name == use_slots_[i]) {
feed_vec_[i] = var->GetMutable<LoDTensor>();
}
}
}
bool DataFeed::SetFileList(const std::vector<std::string>& files) {
std::unique_lock<std::mutex> lock(*mutex_for_pick_file_);
CheckInit();
// Do not set finish_set_filelist_ flag,
// since a user may set file many times after init reader
filelist_.assign(files.begin(), files.end());
finish_set_filelist_ = true;
return true;
}
void DataFeed::SetBatchSize(int batch_size) {
PADDLE_ENFORCE(batch_size > 0, "Illegal batch size: %d.", batch_size);
default_batch_size_ = batch_size;
}
bool DataFeed::PickOneFile(std::string* filename) {
PADDLE_ENFORCE(mutex_for_pick_file_ != nullptr,
"should call SetFileListMutex before PickOneFile");
PADDLE_ENFORCE(file_idx_ != nullptr,
"should call SetFileListIndex before PickOneFile");
std::unique_lock<std::mutex> lock(*mutex_for_pick_file_);
if (*file_idx_ == filelist_.size()) {
VLOG(3) << "DataFeed::PickOneFile no more file to pick";
return false;
}
VLOG(3) << "file_idx_=" << *file_idx_;
*filename = filelist_[(*file_idx_)++];
return true;
}
void DataFeed::CheckInit() {
PADDLE_ENFORCE(finish_init_, "Initialization did not succeed.");
}
void DataFeed::CheckSetFileList() {
PADDLE_ENFORCE(finish_set_filelist_, "Set filelist did not succeed.");
}
void DataFeed::CheckStart() {
PADDLE_ENFORCE(finish_start_, "Datafeed has not started running yet.");
}
template <typename T>
void PrivateQueueDataFeed<T>::SetQueueSize(int queue_size) {
PADDLE_ENFORCE(queue_size > 0, "Illegal queue size: %d.", queue_size);
queue_size_ = queue_size;
queue_ = std::unique_ptr<paddle::operators::reader::BlockingQueue<T>>(
new paddle::operators::reader::BlockingQueue<T>(queue_size_));
}
template <typename T>
bool PrivateQueueDataFeed<T>::Start() {
CheckSetFileList();
read_thread_ = std::thread(&PrivateQueueDataFeed::ReadThread, this);
read_thread_.detach();
finish_start_ = true;
return true;
}
template <typename T>
void PrivateQueueDataFeed<T>::ReadThread() {
#ifdef _LINUX
std::string filename;
while (PickOneFile(&filename)) {
int err_no = 0;
fp_ = fs_open_read(filename, &err_no, pipe_command_);
__fsetlocking(&*fp_, FSETLOCKING_BYCALLER);
T instance;
while (ParseOneInstanceFromPipe(&instance)) {
queue_->Send(instance);
}
}
queue_->Close();
#endif
}
template <typename T>
int PrivateQueueDataFeed<T>::Next() {
#ifdef _LINUX
CheckStart();
int index = 0;
T instance;
T ins_vec;
while (index < default_batch_size_) {
if (!queue_->Receive(&instance)) {
break;
}
AddInstanceToInsVec(&ins_vec, instance, index++);
}
batch_size_ = index;
if (batch_size_ != 0) {
PutToFeedVec(ins_vec);
}
return batch_size_;
#else
return 0;
#endif
}
// explicit instantiation
template class PrivateQueueDataFeed<std::vector<MultiSlotType>>;
template <typename T>
InMemoryDataFeed<T>::InMemoryDataFeed() {
cur_channel_ = 0;
shuffled_ins_ = std::make_shared<paddle::framework::BlockingQueue<T>>();
shuffled_ins_out_ = std::make_shared<paddle::framework::BlockingQueue<T>>();
fleet_send_batch_size_ = 80000; // hard code here
memory_data_ = nullptr;
mutex_for_update_memory_data_ = nullptr;
this->file_idx_ = nullptr;
this->mutex_for_pick_file_ = nullptr;
fleet_send_sleep_seconds_ = 2;
}
template <typename T>
bool InMemoryDataFeed<T>::Start() {
#ifdef _LINUX
DataFeed::CheckSetFileList();
if (shuffled_ins_->Size() == 0 && shuffled_ins_out_->Size() == 0) {
FillMemoryDataToChannel();
}
#endif
DataFeed::finish_start_ = true;
return true;
}
template <typename T>
int InMemoryDataFeed<T>::Next() {
#ifdef _LINUX
DataFeed::CheckStart();
std::shared_ptr<paddle::framework::BlockingQueue<T>> in_channel = nullptr;
std::shared_ptr<paddle::framework::BlockingQueue<T>> out_channel = nullptr;
if (cur_channel_ == 0) {
in_channel = shuffled_ins_;
out_channel = shuffled_ins_out_;
} else {
in_channel = shuffled_ins_out_;
out_channel = shuffled_ins_;
}
CHECK(in_channel != nullptr);
CHECK(out_channel != nullptr);
VLOG(3) << "in_channel size=" << in_channel->Size()
<< ", out_channel size=" << out_channel->Size()
<< ", thread_id=" << thread_id_;
int index = 0;
T instance;
T ins_vec;
while (index < DataFeed::default_batch_size_) {
if (in_channel->Size() == 0) {
break;
}
in_channel->Pop(&instance);
AddInstanceToInsVec(&ins_vec, instance, index++);
out_channel->Push(std::move(instance));
}
DataFeed::batch_size_ = index;
VLOG(3) << "batch_size_=" << DataFeed::batch_size_
<< ", thread_id=" << thread_id_;
if (DataFeed::batch_size_ != 0) {
PutToFeedVec(ins_vec);
} else {
cur_channel_ = 1 - cur_channel_;
}
return DataFeed::batch_size_;
#else
return 0;
#endif
}
template <typename T>
void InMemoryDataFeed<T>::SetMemoryData(void* memory_data) {
memory_data_ = static_cast<std::vector<T>*>(memory_data);
}
template <typename T>
void InMemoryDataFeed<T>::SetMemoryDataMutex(std::mutex* mutex) {
mutex_for_update_memory_data_ = mutex;
}
template <typename T>
void InMemoryDataFeed<T>::SetThreadId(int thread_id) {
thread_id_ = thread_id;
}
template <typename T>
void InMemoryDataFeed<T>::SetThreadNum(int thread_num) {
thread_num_ = thread_num;
}
template <typename T>
void InMemoryDataFeed<T>::SetTrainerNum(int trainer_num) {
trainer_num_ = trainer_num;
}
template <typename T>
void InMemoryDataFeed<T>::SetFleetSendBatchSize(int64_t size) {
fleet_send_batch_size_ = size;
}
template <typename T>
void InMemoryDataFeed<T>::PutInsToChannel(const std::string& ins_str) {
#ifdef _LINUX
std::vector<T> ins;
DeserializeIns(&ins, ins_str);
shuffled_ins_->Extend(std::move(ins));
VLOG(3) << "PutInsToChannel put ins num=" << ins.size()
<< " to channel, channel size=" << shuffled_ins_->Size()
<< " thread_id=" << thread_id_;
#endif
}
template <typename T>
void InMemoryDataFeed<T>::FillMemoryDataToChannel() {
#ifdef _LINUX
VLOG(3) << "FillMemoryDataToChannel, thread_id=" << thread_id_;
auto interval = GetMemoryDataInterval();
VLOG(3) << "memory data size=" << memory_data_->size()
<< ", fill data from [" << interval.first << ", " << interval.second
<< "), thread_id=" << thread_id_;
for (int64_t i = interval.first; i < interval.second; ++i) {
T& t = (*memory_data_)[i];
shuffled_ins_->Push(std::move(t));
}
#endif
}
template <typename T>
void InMemoryDataFeed<T>::FillChannelToMemoryData() {
#ifdef _LINUX
VLOG(3) << "FillChannelToMemoryData, thread_id=" << thread_id_;
std::vector<T> local_vec;
std::shared_ptr<paddle::framework::BlockingQueue<T>> channel = nullptr;
std::shared_ptr<paddle::framework::BlockingQueue<T>> pre_channel = nullptr;
if (cur_channel_ == 0) {
channel = shuffled_ins_;
pre_channel = shuffled_ins_out_;
} else {
channel = shuffled_ins_out_;
pre_channel = shuffled_ins_;
}
CHECK(channel != nullptr);
CHECK(pre_channel != nullptr);
CHECK_EQ(pre_channel->Size(), 0);
local_vec.resize(channel->Size());
for (int64_t i = 0; i < local_vec.size(); ++i) {
channel->Pop(&local_vec[i]);
}
VLOG(3) << "local_vec size=" << local_vec.size()
<< ", thread_id=" << thread_id_;
{
std::lock_guard<std::mutex> g(*mutex_for_update_memory_data_);
VLOG(3) << "before insert, memory_data_ size=" << memory_data_->size()
<< ", thread_id=" << thread_id_;
memory_data_->insert(memory_data_->end(), local_vec.begin(),
local_vec.end());
VLOG(3) << "after insert memory_data_ size=" << memory_data_->size()
<< ", thread_id=" << thread_id_;
}
std::vector<T>().swap(local_vec);
#endif
}
template <typename T>
void InMemoryDataFeed<T>::LoadIntoMemory() {
#ifdef _LINUX
VLOG(3) << "LoadIntoMemory() begin, thread_id=" << thread_id_;
std::vector<T> local_vec;
std::string filename;
while (DataFeed::PickOneFile(&filename)) {
VLOG(3) << "PickOneFile, filename=" << filename
<< ", thread_id=" << thread_id_;
int err_no = 0;
PrivateQueueDataFeed<T>::fp_ =
fs_open_read(filename, &err_no, PrivateQueueDataFeed<T>::pipe_command_);
CHECK(PrivateQueueDataFeed<T>::fp_ != nullptr);
__fsetlocking(&*PrivateQueueDataFeed<T>::fp_, FSETLOCKING_BYCALLER);
T instance;
platform::Timer timeline;
timeline.Start();
while (ParseOneInstanceFromPipe(&instance)) {
local_vec.push_back(instance);
}
timeline.Pause();
VLOG(3) << "LoadIntoMemory() read all lines, file=" << filename
<< ", cost time=" << timeline.ElapsedSec()
<< " seconds, thread_id=" << thread_id_;
{
std::lock_guard<std::mutex> lock(*mutex_for_update_memory_data_);
timeline.Start();
memory_data_->insert(memory_data_->end(),
std::make_move_iterator(local_vec.begin()),
std::make_move_iterator(local_vec.end()));
timeline.Pause();
VLOG(3) << "LoadIntoMemory() memory_data insert, cost time="
<< timeline.ElapsedSec() << " seconds, thread_id=" << thread_id_;
}
local_vec.clear();
}
std::vector<T>().swap(local_vec);
VLOG(3) << "LoadIntoMemory() end, thread_id=" << thread_id_;
#endif
}
template <typename T>
void InMemoryDataFeed<T>::LocalShuffle() {
#ifdef _LINUX
VLOG(3) << "LocalShuffle() begin, thread_id=" << thread_id_;
FillMemoryDataToChannel();
VLOG(3) << "LocalShuffle() end, thread_id=" << thread_id_;
#endif
}
template <typename T>
void InMemoryDataFeed<T>::GlobalShuffle() {
#ifdef _LINUX
VLOG(3) << "GlobalShuffle() begin, thread_id=" << thread_id_;
auto fleet_ptr = FleetWrapper::GetInstance();
std::vector<std::vector<T*>> send_vec(trainer_num_);
std::vector<int> send_index(trainer_num_);
uint64_t reserve_len = fleet_send_batch_size_ / trainer_num_ + 1;
for (auto& vec : send_vec) {
vec.reserve(reserve_len);
}
for (int i = 0; i < trainer_num_; ++i) {
send_index[i] = i;
}
std::vector<std::future<int32_t>> total_status;
auto interval = GetMemoryDataInterval();
VLOG(3) << "global shuffle data from [" << interval.first << ", "
<< interval.second << "), thread_id=" << thread_id_;
for (int64_t i = interval.first; i < interval.second;
i += fleet_send_batch_size_) {
for (int64_t j = 0; j < fleet_send_batch_size_ && i + j < interval.second;
++j) {
int64_t random_num = fleet_ptr->LocalRandomEngine()();
int64_t node_id = random_num % trainer_num_;
send_vec[node_id].push_back(&((*memory_data_)[i + j]));
}
total_status.clear();
std::shuffle(send_index.begin(), send_index.end(),
fleet_ptr->LocalRandomEngine());
for (int index = 0; index < send_index.size(); ++index) {
int j = send_index[index];
if (send_vec[j].size() == 0) {
continue;
}
std::string send_str;
SerializeIns(send_vec[j], &send_str);
auto ret = fleet_ptr->SendClientToClientMsg(0, j, send_str);
total_status.push_back(std::move(ret));
send_vec[j].clear();
}
for (auto& t : total_status) {
t.wait();
}
sleep(fleet_send_sleep_seconds_);
}
VLOG(3) << "GlobalShuffle() end, thread_id=" << thread_id_;
#endif
}
template <typename T>
std::pair<int64_t, int64_t> InMemoryDataFeed<T>::GetMemoryDataInterval() {
int64_t start = 0;
int64_t end = 0;
int64_t size = memory_data_->size();
for (int64_t i = 0; i <= static_cast<int64_t>(thread_id_); ++i) {
int64_t len = size / static_cast<int64_t>(thread_num_) +
(i < (size % static_cast<int64_t>(thread_num_)));
start = end;
end += len;
}
return std::make_pair(start, end);
}
template <typename T>
int64_t InMemoryDataFeed<T>::GetChannelDataSize() {
if (cur_channel_ == 0) {
return shuffled_ins_->Size();
} else {
return shuffled_ins_out_->Size();
}
}
template <typename T>
void InMemoryDataFeed<T>::ReleaseChannelData() {
if (cur_channel_ == 0) {
shuffled_ins_->Clear();
} else {
shuffled_ins_out_->Clear();
}
}
// explicit instantiation
template class InMemoryDataFeed<std::vector<MultiSlotType>>;
void MultiSlotDataFeed::Init(
const paddle::framework::DataFeedDesc& data_feed_desc) {
finish_init_ = false;
finish_set_filelist_ = false;
finish_start_ = false;
PADDLE_ENFORCE(data_feed_desc.has_multi_slot_desc(),
"Multi_slot_desc has not been set.");
paddle::framework::MultiSlotDesc multi_slot_desc =
data_feed_desc.multi_slot_desc();
SetBatchSize(data_feed_desc.batch_size());
SetQueueSize(data_feed_desc.batch_size());
size_t all_slot_num = multi_slot_desc.slots_size();
all_slots_.resize(all_slot_num);
all_slots_type_.resize(all_slot_num);
use_slots_index_.resize(all_slot_num);
total_dims_without_inductive_.resize(all_slot_num);
inductive_shape_index_.resize(all_slot_num);
use_slots_.clear();
use_slots_is_dense_.clear();
for (size_t i = 0; i < all_slot_num; ++i) {
const auto& slot = multi_slot_desc.slots(i);
all_slots_[i] = slot.name();
all_slots_type_[i] = slot.type();
use_slots_index_[i] = slot.is_used() ? use_slots_.size() : -1;
total_dims_without_inductive_[i] = 1;
inductive_shape_index_[i] = -1;
if (slot.is_used()) {
use_slots_.push_back(all_slots_[i]);
use_slots_is_dense_.push_back(slot.is_dense());
std::vector<int> local_shape;
if (slot.is_dense()) {
for (size_t j = 0; j < slot.shape_size(); ++j) {
if (slot.shape(j) > 0) {
total_dims_without_inductive_[i] *= slot.shape(j);
}
if (slot.shape(j) == -1) {
inductive_shape_index_[i] = j;
}
}
}
for (size_t j = 0; j < slot.shape_size(); ++j) {
local_shape.push_back(slot.shape(j));
}
use_slots_shape_.push_back(local_shape);
}
}
feed_vec_.resize(use_slots_.size());
pipe_command_ = data_feed_desc.pipe_command();
finish_init_ = true;
}
void MultiSlotDataFeed::ReadThread() {
#ifdef _LINUX
std::string filename;
while (PickOneFile(&filename)) {
int err_no = 0;
fp_ = fs_open_read(filename, &err_no, pipe_command_);
CHECK(fp_ != nullptr);
__fsetlocking(&*fp_, FSETLOCKING_BYCALLER);
std::vector<MultiSlotType> instance;
int ins_num = 0;
while (ParseOneInstanceFromPipe(&instance)) {
ins_num++;
queue_->Send(instance);
}
VLOG(3) << "filename: " << filename << " inst num: " << ins_num;
}
queue_->Close();
#endif
}
bool MultiSlotDataFeed::CheckFile(const char* filename) {
#ifdef _LINUX
CheckInit(); // get info of slots
std::ifstream fin(filename);
if (!fin.good()) {
VLOG(1) << "error: open file<" << filename << "> fail";
return false;
}
std::string line;
int instance_cout = 0;
std::string all_slots_alias = "";
for (const auto& alias : all_slots_) {
all_slots_alias += alias + " ";
}
std::string use_slots_alias = "";
for (const auto& alias : use_slots_) {
use_slots_alias += alias + " ";
}
VLOG(3) << "total slots num: " << all_slots_.size();
VLOG(3) << "total slots alias: " << all_slots_alias;
VLOG(3) << "used slots num: " << use_slots_.size();
VLOG(3) << "used slots alias: " << use_slots_alias;
while (getline(fin, line)) {
++instance_cout;
const char* str = line.c_str();
char* endptr = const_cast<char*>(str);
int len = line.length();
for (size_t i = 0; i < all_slots_.size(); ++i) {
auto num = strtol(endptr, &endptr, 10);
if (num < 0) {
VLOG(0) << "error: the number of ids is a negative number: " << num;
VLOG(0) << "please check line<" << instance_cout << "> in file<"
<< filename << ">";
return false;
} else if (num == 0) {
VLOG(0)
<< "error: 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.";
VLOG(0) << "please check line<" << instance_cout << "> in file<"
<< filename << ">";
return false;
} else if (errno == ERANGE || num > INT_MAX) {
VLOG(0) << "error: the number of ids greater than INT_MAX";
VLOG(0) << "please check line<" << instance_cout << "> in file<"
<< filename << ">";
return false;
}
if (all_slots_type_[i] == "float") {
for (int i = 0; i < num; ++i) {
strtof(endptr, &endptr);
if (errno == ERANGE) {
VLOG(0) << "error: the value is out of the range of "
"representable values for float";
VLOG(0) << "please check line<" << instance_cout << "> in file<"
<< filename << ">";
return false;
}
if (i + 1 != num && endptr - str == len) {
VLOG(0) << "error: there is a wrong with the number of ids.";
VLOG(0) << "please check line<" << instance_cout << "> in file<"
<< filename << ">";
return false;
}
}
} else if (all_slots_type_[i] == "uint64") {
for (int i = 0; i < num; ++i) {
strtoull(endptr, &endptr, 10);
if (errno == ERANGE) {
VLOG(0) << "error: the value is out of the range of "
"representable values for uint64_t";
VLOG(0) << "please check line<" << instance_cout << "> in file<"
<< filename << ">";
return false;
}
if (i + 1 != num && endptr - str == len) {
VLOG(0) << "error: there is a wrong with the number of ids.";
VLOG(0) << "please check line<" << instance_cout << "> in file<"
<< filename << ">";
return false;
}
}
} else {
VLOG(0) << "error: this type<" << all_slots_type_[i]
<< "> is not supported";
return false;
}
}
// It may be added '\t' character to the end of the output of reduce
// task when processes data by Hadoop(when the output of the reduce
// task of Hadoop has only one field, it will add a '\t' at the end
// of the line by default, and you can use this option to avoid it:
// `-D mapred.textoutputformat.ignoreseparator=true`), which does
// not affect the correctness of the data. Therefore, it should be
// judged that the data is not normal when the end of each line of
// data contains characters which are not spaces.
while (endptr - str != len) {
if (!isspace(*(endptr++))) {
VLOG(0)
<< "error: there is some extra characters at the end of the line.";
VLOG(0) << "please check line<" << instance_cout << "> in file<"
<< filename << ">";
return false;
}
}
}
VLOG(3) << "instances cout: " << instance_cout;
VLOG(3) << "The file format is correct";
#endif
return true;
}
bool MultiSlotDataFeed::ParseOneInstanceFromPipe(
std::vector<MultiSlotType>* instance) {
#ifdef _LINUX
thread_local string::LineFileReader reader;
if (!reader.getline(&*(fp_.get()))) {
return false;
} else {
int use_slots_num = use_slots_.size();
instance->resize(use_slots_num);
const char* str = reader.get();
std::string line = std::string(str);
// VLOG(3) << line;
char* endptr = const_cast<char*>(str);
int pos = 0;
for (size_t i = 0; i < use_slots_index_.size(); ++i) {
int idx = use_slots_index_[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 (idx != -1) {
(*instance)[idx].Init(all_slots_type_[i]);
if ((*instance)[idx].GetType()[0] == 'f') { // float
for (int j = 0; j < num; ++j) {
float feasign = strtof(endptr, &endptr);
(*instance)[idx].AddValue(feasign);
}
} else if ((*instance)[idx].GetType()[0] == 'u') { // uint64
for (int j = 0; j < num; ++j) {
uint64_t feasign = (uint64_t)strtoull(endptr, &endptr, 10);
(*instance)[idx].AddValue(feasign);
}
}
pos = endptr - str;
} else {
for (int j = 0; j <= num; ++j) {
// pos = line.find_first_of(' ', pos + 1);
while (line[pos + 1] != ' ') {
pos++;
}
}
}
}
return true;
}
#else
return true;
#endif
}
bool MultiSlotDataFeed::ParseOneInstance(std::vector<MultiSlotType>* instance) {
#ifdef _LINUX
std::string line;
if (getline(file_, line)) {
int use_slots_num = use_slots_.size();
instance->resize(use_slots_num);
// parse line
const char* str = line.c_str();
char* endptr = const_cast<char*>(str);
int pos = 0;
for (size_t i = 0; i < use_slots_index_.size(); ++i) {
int idx = use_slots_index_[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 (idx != -1) {
(*instance)[idx].Init(all_slots_type_[i]);
if ((*instance)[idx].GetType()[0] == 'f') { // float
for (int j = 0; j < num; ++j) {
float feasign = strtof(endptr, &endptr);
(*instance)[idx].AddValue(feasign);
}
} else if ((*instance)[idx].GetType()[0] == 'u') { // uint64
for (int j = 0; j < num; ++j) {
uint64_t feasign = (uint64_t)strtoull(endptr, &endptr, 10);
(*instance)[idx].AddValue(feasign);
}
}
pos = endptr - str;
} else {
for (int j = 0; j <= num; ++j) {
pos = line.find_first_of(' ', pos + 1);
}
}
}
} else {
return false;
}
#endif
return false;
}
void MultiSlotDataFeed::AddInstanceToInsVec(
std::vector<MultiSlotType>* ins_vec,
const std::vector<MultiSlotType>& instance, int index) {
#ifdef _LINUX
if (index == 0) {
ins_vec->resize(instance.size());
for (size_t i = 0; i < instance.size(); ++i) {
(*ins_vec)[i].Init(instance[i].GetType());
(*ins_vec)[i].InitOffset();
}
}
for (size_t i = 0; i < instance.size(); ++i) {
(*ins_vec)[i].AddIns(instance[i]);
}
#endif
}
void MultiSlotDataFeed::PutToFeedVec(
const std::vector<MultiSlotType>& ins_vec) {
#ifdef _LINUX
for (size_t i = 0; i < use_slots_.size(); ++i) {
const auto& type = ins_vec[i].GetType();
const auto& offset = ins_vec[i].GetOffset();
int total_instance = static_cast<int>(offset.back());
if (type[0] == 'f') { // float
const auto& feasign = ins_vec[i].GetFloatData();
float* tensor_ptr = feed_vec_[i]->mutable_data<float>(
{total_instance, 1}, platform::CPUPlace());
memcpy(tensor_ptr, &feasign[0], total_instance * sizeof(float));
} else if (type[0] == 'u') { // uint64
// no uint64_t type in paddlepaddle
const auto& feasign = ins_vec[i].GetUint64Data();
int64_t* tensor_ptr = feed_vec_[i]->mutable_data<int64_t>(
{total_instance, 1}, platform::CPUPlace());
memcpy(tensor_ptr, &feasign[0], total_instance * sizeof(int64_t));
}
LoD data_lod{offset};
feed_vec_[i]->set_lod(data_lod);
if (use_slots_is_dense_[i]) {
if (inductive_shape_index_[i] != -1) {
use_slots_shape_[i][inductive_shape_index_[i]] =
total_instance / total_dims_without_inductive_[i];
}
feed_vec_[i]->Resize(framework::make_ddim(use_slots_shape_[i]));
}
}
#endif
}
void MultiSlotInMemoryDataFeed::Init(
const paddle::framework::DataFeedDesc& data_feed_desc) {
finish_init_ = false;
finish_set_filelist_ = false;
finish_start_ = false;
PADDLE_ENFORCE(data_feed_desc.has_multi_slot_desc(),
"Multi_slot_desc has not been set.");
paddle::framework::MultiSlotDesc multi_slot_desc =
data_feed_desc.multi_slot_desc();
SetBatchSize(data_feed_desc.batch_size());
SetQueueSize(data_feed_desc.batch_size());
size_t all_slot_num = multi_slot_desc.slots_size();
all_slots_.resize(all_slot_num);
all_slots_type_.resize(all_slot_num);
use_slots_index_.resize(all_slot_num);
total_dims_without_inductive_.resize(all_slot_num);
inductive_shape_index_.resize(all_slot_num);
use_slots_.clear();
use_slots_is_dense_.clear();
for (size_t i = 0; i < all_slot_num; ++i) {
const auto& slot = multi_slot_desc.slots(i);
all_slots_[i] = slot.name();
all_slots_type_[i] = slot.type();
use_slots_index_[i] = slot.is_used() ? use_slots_.size() : -1;
total_dims_without_inductive_[i] = 1;
inductive_shape_index_[i] = -1;
if (slot.is_used()) {
use_slots_.push_back(all_slots_[i]);
use_slots_is_dense_.push_back(slot.is_dense());
std::vector<int> local_shape;
if (slot.is_dense()) {
for (size_t j = 0; j < slot.shape_size(); ++j) {
if (slot.shape(j) > 0) {
total_dims_without_inductive_[i] *= slot.shape(j);
}
if (slot.shape(j) == -1) {
inductive_shape_index_[i] = j;
}
}
}
for (size_t j = 0; j < slot.shape_size(); ++j) {
local_shape.push_back(slot.shape(j));
}
use_slots_shape_.push_back(local_shape);
}
}
feed_vec_.resize(use_slots_.size());
pipe_command_ = data_feed_desc.pipe_command();
finish_init_ = true;
}
bool MultiSlotInMemoryDataFeed::ParseOneInstanceFromPipe(
std::vector<MultiSlotType>* instance) {
#ifdef _LINUX
thread_local string::LineFileReader reader;
if (!reader.getline(&*(fp_.get()))) {
return false;
} else {
int use_slots_num = use_slots_.size();
instance->resize(use_slots_num);
const char* str = reader.get();
std::string line = std::string(str);
// VLOG(3) << line;
char* endptr = const_cast<char*>(str);
int pos = 0;
for (size_t i = 0; i < use_slots_index_.size(); ++i) {
int idx = use_slots_index_[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 (idx != -1) {
(*instance)[idx].Init(all_slots_type_[i]);
if ((*instance)[idx].GetType()[0] == 'f') { // float
for (int j = 0; j < num; ++j) {
float feasign = strtof(endptr, &endptr);
(*instance)[idx].AddValue(feasign);
}
} else if ((*instance)[idx].GetType()[0] == 'u') { // uint64
for (int j = 0; j < num; ++j) {
uint64_t feasign = (uint64_t)strtoull(endptr, &endptr, 10);
(*instance)[idx].AddValue(feasign);
}
}
pos = endptr - str;
} else {
for (int j = 0; j <= num; ++j) {
// pos = line.find_first_of(' ', pos + 1);
while (line[pos + 1] != ' ') {
pos++;
}
}
}
}
return true;
}
#else
return false;
#endif
}
bool MultiSlotInMemoryDataFeed::ParseOneInstance(
std::vector<MultiSlotType>* instance) {
#ifdef _LINUX
std::string line;
if (getline(file_, line)) {
int use_slots_num = use_slots_.size();
instance->resize(use_slots_num);
VLOG(3) << line;
// parse line
const char* str = line.c_str();
char* endptr = const_cast<char*>(str);
int pos = 0;
for (size_t i = 0; i < use_slots_index_.size(); ++i) {
int idx = use_slots_index_[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 (idx != -1) {
(*instance)[idx].Init(all_slots_type_[i]);
if ((*instance)[idx].GetType()[0] == 'f') { // float
for (int j = 0; j < num; ++j) {
float feasign = strtof(endptr, &endptr);
(*instance)[idx].AddValue(feasign);
}
} else if ((*instance)[idx].GetType()[0] == 'u') { // uint64
for (int j = 0; j < num; ++j) {
uint64_t feasign = (uint64_t)strtoull(endptr, &endptr, 10);
(*instance)[idx].AddValue(feasign);
}
}
pos = endptr - str;
} else {
for (int j = 0; j <= num; ++j) {
pos = line.find_first_of(' ', pos + 1);
}
}
}
} else {
return false;
}
#endif
return false;
}
void MultiSlotInMemoryDataFeed::AddInstanceToInsVec(
std::vector<MultiSlotType>* ins_vec,
const std::vector<MultiSlotType>& instance, int index) {
#ifdef _LINUX
if (index == 0) {
ins_vec->resize(instance.size());
for (size_t i = 0; i < instance.size(); ++i) {
(*ins_vec)[i].Init(instance[i].GetType());
(*ins_vec)[i].InitOffset();
}
}
for (size_t i = 0; i < instance.size(); ++i) {
(*ins_vec)[i].AddIns(instance[i]);
}
#endif
}
void MultiSlotInMemoryDataFeed::PutToFeedVec(
const std::vector<MultiSlotType>& ins_vec) {
#ifdef _LINUX
for (size_t i = 0; i < use_slots_.size(); ++i) {
const auto& type = ins_vec[i].GetType();
const auto& offset = ins_vec[i].GetOffset();
int total_instance = static_cast<int>(offset.back());
if (type[0] == 'f') { // float
const auto& feasign = ins_vec[i].GetFloatData();
float* tensor_ptr = feed_vec_[i]->mutable_data<float>(
{total_instance, 1}, platform::CPUPlace());
memcpy(tensor_ptr, &feasign[0], total_instance * sizeof(float));
} else if (type[0] == 'u') { // uint64
// no uint64_t type in paddlepaddle
const auto& feasign = ins_vec[i].GetUint64Data();
int64_t* tensor_ptr = feed_vec_[i]->mutable_data<int64_t>(
{total_instance, 1}, platform::CPUPlace());
memcpy(tensor_ptr, &feasign[0], total_instance * sizeof(int64_t));
}
LoD data_lod{offset};
feed_vec_[i]->set_lod(data_lod);
if (use_slots_is_dense_[i]) {
if (inductive_shape_index_[i] != -1) {
use_slots_shape_[i][inductive_shape_index_[i]] =
total_instance / total_dims_without_inductive_[i];
}
feed_vec_[i]->Resize(framework::make_ddim(use_slots_shape_[i]));
}
}
#endif
}
// todo serialize ins in global shuffle
void MultiSlotInMemoryDataFeed::SerializeIns(
const std::vector<std::vector<MultiSlotType>*>& ins, std::string* str) {
auto fleet_ptr = FleetWrapper::GetInstance();
fleet_ptr->Serialize(ins, str);
}
// todo deserialize ins in global shuffle
void MultiSlotInMemoryDataFeed::DeserializeIns(
std::vector<std::vector<MultiSlotType>>* ins, const std::string& str) {
auto fleet_ptr = FleetWrapper::GetInstance();
fleet_ptr->Deserialize(ins, str);
}
} // namespace framework
} // namespace paddle
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