void unity_global::save_model(std::shared_ptr<model_base> model,
const std::string& model_wrapper,
const std::string& url) {
logstream(LOG_INFO) << "Save model to " << sanitize_url(url) << std::endl;
logstream(LOG_INFO) << "Model name: " << model->name() << std::endl;
try {
dir_archive dir;
dir.open_directory_for_write(url);
dir.set_metadata("contents", "model");
oarchive oarc(dir);
oarc.write(CLASS_MAGIC_HEADER, strlen(CLASS_MAGIC_HEADER));
oarc << model->name();
oarc << model_wrapper;
oarc << *model;
if (dir.get_output_stream()->fail()) {
std::string message = "Fail to write.";
log_and_throw_io_failure(message);
}
dir.close();
} catch (std::ios_base::failure& e) {
std::string message = "Unable to save model to " + sanitize_url(url) + ": " + e.what();
log_and_throw_io_failure(message);
} catch (std::string& e) {
log_and_throw(std::string("Unable to save model to ") + sanitize_url(url) + ": " + e);
} catch (...) {
log_and_throw(std::string("Unknown Error: Unable to save model to ") + sanitize_url(url));
}
}
inline std::string serialize_to_string(const T &t) {
std::stringstream strm;
oarchive oarc(strm);
oarc << t;
strm.flush();
return strm.str();
}
bool unity_sgraph::save_graph(std::string target, std::string format) {
log_func_entry();
try {
if (format == "binary") {
dir_archive dir;
dir.open_directory_for_write(target);
dir.set_metadata("contents", "graph");
oarchive oarc(dir);
if (dir.get_output_stream()->fail()) {
log_and_throw_io_failure("Fail to write");
}
save(oarc);
dir.close();
} else if (format == "json") {
save_sgraph_to_json(get_graph(), target);
} else if (format == "csv") {
save_sgraph_to_csv(get_graph(), target);
} else {
log_and_throw("Unable to save to format : " + format);
}
} catch (std::ios_base::failure& e) {
std::string message =
"Unable to save graph to " + sanitize_url(target) + ": " + e.what();
log_and_throw_io_failure(message);
} catch (std::string& e) {
std::string message =
"Unable to save graph to " + sanitize_url(target) + ": " + e;
log_and_throw(message);
} catch (...) {
std::string message =
"Unable to save graph to " + sanitize_url(target) + ": Unknown Error.";
log_and_throw(message);
}
return true;
}
void send(const T& elem, const size_t id, const int tag = 0) {
#ifdef HAS_MPI
// Get the mpi rank and size
assert(id < size());
// Serialize the local map
graphlab::charstream cstrm(128);
graphlab::oarchive oarc(cstrm);
oarc << elem;
cstrm.flush();
char* send_buffer = cstrm->c_str();
int send_buffer_size = cstrm->size();
assert(send_buffer_size >= 0);
int dest(id);
// send the size
int error = MPI_Send(&send_buffer_size, // Send buffer
1, // send count
MPI_INT, // send type
dest, // destination
tag, // tag
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
// send the actual content
error = MPI_Send(send_buffer, // send buffer
send_buffer_size, // how much to send
MPI_BYTE, // send type
dest,
tag,
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
#else
logstream(LOG_FATAL) << "MPI not installed!" << std::endl;
#endif
} // end of send
void bcast(const size_t& root, T& elem) {
#ifdef HAS_MPI
// Get the mpi rank and size
if(mpi_tools::rank() == root) {
// serialize the object
graphlab::charstream cstrm(128);
graphlab::oarchive oarc(cstrm);
oarc << elem;
cstrm.flush();
char* send_buffer = cstrm->c_str();
int send_buffer_size = cstrm->size();
assert(send_buffer_size >= 0);
// send the ammount to send
int error = MPI_Bcast(&send_buffer_size, // Send buffer
1, // send count
MPI_INT, // send type
root, // root rank
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
// send the actual data
error = MPI_Bcast(send_buffer, // Send buffer
send_buffer_size, // send count
MPI_BYTE, // send type
root, // root rank
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
} else {
int recv_buffer_size(-1);
// recv the ammount the required buffer size
int error = MPI_Bcast(&recv_buffer_size, // recvbuffer
1, // recvcount
MPI_INT, // recvtype
root, // root rank
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
assert(recv_buffer_size >= 0);
std::vector<char> recv_buffer(recv_buffer_size);
error = MPI_Bcast(&(recv_buffer[0]), // recvbuffer
recv_buffer_size, // recvcount
MPI_BYTE, // recvtype
root, // root rank
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
// construct the local element
namespace bio = boost::iostreams;
typedef bio::stream<bio::array_source> icharstream;
icharstream strm(&(recv_buffer[0]), recv_buffer.size());
graphlab::iarchive iarc(strm);
iarc >> elem;
}
#else
logstream(LOG_FATAL) << "MPI not installed!" << std::endl;
#endif
} // end of bcast
size_t block_writer::write_typed_block(size_t segment_id,
size_t column_id,
const std::vector<flexible_type>& data,
block_info block) {
auto serialization_buffer = m_buffer_pool.get_new_buffer();
oarchive oarc(*serialization_buffer);
typed_encode(data, block, oarc);
size_t ret = write_block(segment_id, column_id, serialization_buffer->data(), block);
m_buffer_pool.release_buffer(std::move(serialization_buffer));
return ret;
}
void unity_sgraph::save_reference(std::string target_dir) const {
dir_archive dir;
dir.open_directory_for_write(target_dir);
dir.set_metadata("contents", "graph");
oarchive oarc(dir);
if (dir.get_output_stream()->fail()) {
log_and_throw_io_failure("Fail to write");
}
save_reference(oarc);
dir.close();
}
/**
Synchronize variable with index i.
Call
*/
void distributed_glshared_manager::write_synchronize(size_t entry, bool async) {
// logstream(LOG_DEBUG) << rmi.procid() << ": " << "write synchronize on " << entry << " async = " << async << std::endl;
std::stringstream strm;
oarchive oarc(strm);
glsharedobjs[entry]->save(oarc);
glsharedobjs[entry]->invalidated = false;
if (async) {
dht.set(entry, strm.str());
}
else {
dht.set_synchronous(entry, strm.str());
}
}
void gather(size_t root, const T& elem) {
#ifdef HAS_MPI
// Get the mpi rank and size
assert(root < size_t(std::numeric_limits<int>::max()));
int mpi_root(root);
// Serialize the local map
graphlab::charstream cstrm(128);
graphlab::oarchive oarc(cstrm);
oarc << elem;
cstrm.flush();
char* send_buffer = cstrm->c_str();
int send_buffer_size = cstrm->size();
assert(send_buffer_size >= 0);
// compute the sizes
// Compute the sizes
int error = MPI_Gather(&send_buffer_size, // Send buffer
1, // send count
MPI_INT, // send type
NULL, // recvbuffer
1, // recvcount
MPI_INT, // recvtype
mpi_root, // root rank
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
// recv all the maps
error = MPI_Gatherv(send_buffer, // send buffer
send_buffer_size, // how much to send
MPI_BYTE, // send type
NULL, // recv buffer
NULL, // amount to recv
// for each cpuess
NULL, // where to place data
MPI_BYTE,
mpi_root, // root rank
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
#else
logstream(LOG_FATAL) << "MPI not installed!" << std::endl;
#endif
} // end of gather
bool save_binary(const GraphType& g, const std::string& prefix) {
g.dc().full_barrier();
ASSERT_TRUE (g.is_finalized());
timer savetime; savetime.start();
std::string fname = prefix + tostr(g.procid()) + ".bin";
logstream(LOG_INFO) << "Save graph to " << fname << std::endl;
general_ofstream fout(fname, true);
if (!fout.good()) {
logstream(LOG_ERROR) << "\n\tError opening file: " << fname << std::endl;
return false;
}
oarchive oarc(fout);
oarc << g;
logstream(LOG_INFO) << "Finish saving graph to " << fname << std::endl
<< "Finished saving binary graph: "
<< savetime.current_time() << std::endl;
g.dc().full_barrier();
fout.close();
return true;
} // end of save
static std::shared_ptr<planner_node> make_planner_node(
std::shared_ptr<sarray<flexible_type> > source, size_t begin_index = 0, size_t _end_index = -1) {
std::stringstream strm;
oarchive oarc(strm);
oarc << source->get_index_info();
auto type = source->get_type();
size_t end_index = (_end_index == size_t(-1)) ? source->size() : _end_index;
DASSERT_LE(begin_index, end_index);
DASSERT_LE(end_index, source->size());
// we need to keep a copy of the source in the node for reference counting
// reasons.
return planner_node::make_shared(planner_node_type::SARRAY_SOURCE_NODE,
{ {"index", strm.str()},
{"type", (flex_int)type},
{"begin_index", begin_index},
{"end_index", end_index}
},
{{"sarray", any(source)}});
}
distributed_glshared_manager::distributed_glshared_manager(distributed_control &dc):
rmi(dc, this),
glsharedobjs(distgl_impl::get_global_dist_glshared_registry()),
dht(dc){
dht.attach_modification_trigger(boost::bind(&distributed_glshared_manager::invalidate,
this, _1, _2, _3));
for (size_t i = 0; i < glsharedobjs.size(); ++i) {
logstream(LOG_INFO) << "registered entry " << i << " with type "
<< glsharedobjs[i]->type_name() << std::endl;
if (glsharedobjs[i]->manager != NULL) {
logger(LOG_WARNING, "glshared objects are still attached to a previous manager!");
}
glsharedobjs[i]->manager = this;
glsharedobjs[i]->id = i;
objrevmap[glsharedobjs[i]] = i;
if (dht.owning_machine(i) == rmi.procid()) {
std::stringstream strm;
oarchive oarc(strm);
glsharedobjs[i]->save(oarc);
dht.set(i, strm.str());
}
}
// perform the sets
}
void _save_and_load_object(T& dest, const U& src, std::string dir) {
// Create the directory
boost::filesystem::create_directory(dir);
_add_directory_to_deleter(dir);
std::string arc_name = dir + "/test_archive";
uint64_t random_number = hash64(random::fast_uniform<size_t>(0,size_t(-1)));
// Save it
dir_archive archive_write;
archive_write.open_directory_for_write(arc_name);
graphlab::oarchive oarc(archive_write);
oarc << src << random_number;
archive_write.close();
// Load it
dir_archive archive_read;
archive_read.open_directory_for_read(arc_name);
graphlab::iarchive iarc(archive_read);
iarc >> dest;
uint64_t test_number;
iarc >> test_number;
archive_read.close();
ASSERT_EQ(test_number, random_number);
}
void gather(const T& elem, std::vector<T>& results) {
#ifdef HAS_MPI
// Get the mpi rank and size
size_t mpi_size(size());
int mpi_rank(rank());
if(results.size() != mpi_size) results.resize(mpi_size);
// Serialize the local map
graphlab::charstream cstrm(128);
graphlab::oarchive oarc(cstrm);
oarc << elem;
cstrm.flush();
char* send_buffer = cstrm->c_str();
int send_buffer_size = cstrm->size();
assert(send_buffer_size >= 0);
// compute the sizes
std::vector<int> recv_sizes(mpi_size, -1);
// Compute the sizes
int error = MPI_Gather(&send_buffer_size, // Send buffer
1, // send count
MPI_INT, // send type
&(recv_sizes[0]), // recvbuffer
1, // recvcount
MPI_INT, // recvtype
mpi_rank, // root rank
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
for(size_t i = 0; i < recv_sizes.size(); ++i)
assert(recv_sizes[i] >= 0);
// Construct offsets
std::vector<int> recv_offsets(recv_sizes);
int sum = 0, tmp = 0;
for(size_t i = 0; i < recv_offsets.size(); ++i) {
tmp = recv_offsets[i]; recv_offsets[i] = sum; sum += tmp;
}
// if necessary realloac recv_buffer
std::vector<char> recv_buffer(sum);
// recv all the maps
error = MPI_Gatherv(send_buffer, // send buffer
send_buffer_size, // how much to send
MPI_BYTE, // send type
&(recv_buffer[0]), // recv buffer
&(recv_sizes[0]), // amount to recv
// for each cpuess
&(recv_offsets[0]), // where to place data
MPI_BYTE,
mpi_rank, // root rank
MPI_COMM_WORLD);
assert(error == MPI_SUCCESS);
// Update the local map
namespace bio = boost::iostreams;
typedef bio::stream<bio::array_source> icharstream;
icharstream strm(&(recv_buffer[0]), recv_buffer.size());
graphlab::iarchive iarc(strm);
for(size_t i = 0; i < results.size(); ++i) {
iarc >> results[i];
}
#else
logstream(LOG_FATAL) << "MPI not installed!" << std::endl;
#endif
} // end of gather
void all2all(const std::vector<T>& send_data,
std::vector<T>& recv_data) {
#ifdef HAS_MPI
// Get the mpi rank and size
size_t mpi_size(size());
ASSERT_EQ(send_data.size(), mpi_size);
if(recv_data.size() != mpi_size) recv_data.resize(mpi_size);
// Serialize the output data and compute buffer sizes
graphlab::charstream cstrm(128);
graphlab::oarchive oarc(cstrm);
std::vector<int> send_buffer_sizes(mpi_size);
for(size_t i = 0; i < mpi_size; ++i) {
const size_t OLD_SIZE(cstrm->size());
oarc << send_data[i];
cstrm.flush();
const size_t ELEM_SIZE(cstrm->size() - OLD_SIZE);
send_buffer_sizes[i] = ELEM_SIZE;
}
cstrm.flush();
char* send_buffer = cstrm->c_str();
std::vector<int> send_offsets(send_buffer_sizes);
int total_send = 0;
for(size_t i = 0; i < send_offsets.size(); ++i) {
const int tmp = send_offsets[i];
send_offsets[i] = total_send;
total_send += tmp;
}
// AlltoAll scatter the buffer sizes
std::vector<int> recv_buffer_sizes(mpi_size);
int error = MPI_Alltoall(&(send_buffer_sizes[0]),
1,
MPI_INT,
&(recv_buffer_sizes[0]),
1,
MPI_INT,
MPI_COMM_WORLD);
ASSERT_EQ(error, MPI_SUCCESS);
// Construct offsets
std::vector<int> recv_offsets(recv_buffer_sizes);
int total_recv = 0;
for(size_t i = 0; i < recv_offsets.size(); ++i){
const int tmp = recv_offsets[i];
recv_offsets[i] = total_recv;
total_recv += tmp;
}
// Do the massive send
std::vector<char> recv_buffer(total_recv);
error = MPI_Alltoallv(send_buffer,
&(send_buffer_sizes[0]),
&(send_offsets[0]),
MPI_BYTE,
&(recv_buffer[0]),
&(recv_buffer_sizes[0]),
&(recv_offsets[0]),
MPI_BYTE,
MPI_COMM_WORLD);
ASSERT_EQ(error, MPI_SUCCESS);
// Deserialize the result
namespace bio = boost::iostreams;
typedef bio::stream<bio::array_source> icharstream;
icharstream strm(&(recv_buffer[0]), recv_buffer.size());
graphlab::iarchive iarc(strm);
for(size_t i = 0; i < recv_data.size(); ++i) {
iarc >> recv_data[i];
}
#else
logstream(LOG_FATAL) << "MPI not installed!" << std::endl;
#endif
} // end of mpi all to all
