add auto caching of python in hadoop script, mock test module to python, with checkpt

This commit is contained in:
tqchen 2015-01-13 14:29:10 -08:00
parent 877fc42e40
commit 3419cf9aa7
10 changed files with 104 additions and 144 deletions

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@ -10,14 +10,14 @@ BPATH=.
MPIOBJ= $(BPATH)/engine_mpi.o
OBJ= $(BPATH)/allreduce_base.o $(BPATH)/allreduce_robust.o $(BPATH)/engine.o $(BPATH)/engine_empty.o $(BPATH)/engine_mock.o\
$(BPATH)/rabit_wrapper.o
SLIB= wrapper/librabit_wrapper.so
SLIB= wrapper/librabit_wrapper.so wrapper/librabit_wrapper_mock.so
ALIB= lib/librabit.a lib/librabit_mpi.a lib/librabit_empty.a lib/librabit_mock.a
HEADERS=src/*.h include/*.h include/rabit/*.h
.PHONY: clean all install mpi python
all: lib/librabit.a lib/librabit_mock.a $(SLIB)
mpi: lib/librabit_mpi.a
python: wrapper/librabit_wrapper.so
python: wrapper/librabit_wrapper.so wrpper/librabit_wrapper_mock.so
$(BPATH)/allreduce_base.o: src/allreduce_base.cc $(HEADERS)
$(BPATH)/engine.o: src/engine.cc $(HEADERS)
@ -33,6 +33,7 @@ lib/librabit_mpi.a: $(MPIOBJ)
# wrapper code
$(BPATH)/rabit_wrapper.o: wrapper/rabit_wrapper.cc
wrapper/librabit_wrapper.so: $(BPATH)/rabit_wrapper.o lib/librabit.a
wrapper/librabit_wrapper_mock.so: $(BPATH)/rabit_wrapper.o lib/librabit_mock.a
$(OBJ) :
$(CXX) -c $(CFLAGS) -o $@ $(firstword $(filter %.cpp %.c %.cc, $^) )

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@ -5,8 +5,9 @@ demo python script of rabit
import os
import sys
import numpy as np
# add path to wrapper
sys.path.append(os.path.dirname(__file__) + '/../wrapper')
# import rabit, the tracker script will setup the lib path correctly
# for normal run without tracker script, add following line
# sys.path.append(os.path.dirname(__file__) + '/../wrapper')
import rabit
rabit.init()
@ -15,7 +16,7 @@ rank = rabit.get_rank()
a = np.zeros(n)
for i in xrange(n):
a[i] = rank + i
print '@node[%d] before-allreduce: a=%s' % (rank, str(a))
a = rabit.allreduce(a, rabit.MAX)
print '@node[%d] after-allreduce: a=%s' % (rank, str(a))

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@ -5,7 +5,8 @@ demo python script of rabit
import os
import sys
# add path to wrapper
sys.path.append(os.path.dirname(__file__) + '/../wrapper')
# for normal run without tracker script, add following line
# sys.path.append(os.path.dirname(__file__) + '/../wrapper')
import rabit
rabit.init()

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@ -8,13 +8,15 @@ export CFLAGS = -Wall -O3 -msse2 -Wno-unknown-pragmas -fPIC -I../include -std=
BIN = speed_test test_model_recover test_local_recover
OBJ = $(RABIT_OBJ) speed_test.o test_model_recover.o test_local_recover.o
MPIBIN = speed_test.mpi
.PHONY: clean all lib
.PHONY: clean all lib mpi
all: $(BIN) $(MPIBIN)
lib:
cd ..;make;cd -
mpi:
cd ..;make mpi;cd -
# programs
speed_test.o: speed_test.cpp ../include/*.h lib
speed_test.o: speed_test.cpp ../include/*.h lib mpi
test_model_recover.o: test_model_recover.cpp ../include/*.h lib
test_local_recover.o: test_local_recover.cpp ../include/*.h lib

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@ -9,12 +9,6 @@ endif
.PHONY: model_recover local_recover speed
local_recover:
../tracker/rabit_demo.py -n $(nslave) test_local_recover $(ndata) rabit_local_replica=1
local_recover_10_10k:
../tracker/rabit_demo.py -n 10 test_local_recover 10000 rabit_local_replica=1
# this experiment test recovery with actually process exit, use keepalive to keep program alive
model_recover_10_10k:
../tracker/rabit_demo.py -n 10 test_model_recover 10000 mock=0,0,1,0 mock=1,1,1,0

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@ -5,28 +5,8 @@
#include <cstdio>
#include <cstdlib>
#include <cmath>
#include "./mock.h"
using namespace rabit;
namespace rabit {
namespace test {
inline void CallBegin(const char *fun, int ntrial, int iter) {
int rank = rabit::GetRank();
if (!strcmp(fun, "Allreduce::Sum")) {
if (ntrial == iter && rank == 0) throw MockException();
}
if (!strcmp(fun, "Allreduce::Max")) {
if (ntrial == iter && rank == 3) throw MockException();
}
}
inline void CallEnd(const char *fun, int ntrial, int iter) {
int rank = rabit::GetRank();
if (!strcmp(fun, "Allreduce::Bcast")) {
if (ntrial == iter && rand() % 10 == rank) throw MockException();
}
}
}
}
// dummy model
class Model : public rabit::ISerializable {
@ -52,8 +32,6 @@ inline void TestMax(Model *model, Model *local, int ntrial, int iter) {
int nproc = rabit::GetWorldSize();
const int z = iter + 111;
std::vector<float> ndata(model->data.size());
test::CallBegin("Allreduce::Max", ntrial, iter);
rabit::Allreduce<op::Max>(&ndata[0], ndata.size(),
[&]() {
// use lambda expression to prepare the data
@ -61,7 +39,6 @@ inline void TestMax(Model *model, Model *local, int ntrial, int iter) {
ndata[i] = (i * (rank+1)) % z + local->data[i];
}
});
test::CallEnd("Allreduce::Max", ntrial, iter);
for (size_t i = 0; i < ndata.size(); ++i) {
float rmax = (i * 1) % z + model->data[i];
@ -86,9 +63,7 @@ inline void TestSum(Model *model, Model *local, int ntrial, int iter) {
for (size_t i = 0; i < ndata.size(); ++i) {
ndata[i] = (i * (rank+1)) % z + local->data[i];
}
test::CallBegin("Allreduce::Sum", ntrial, iter);
Allreduce<op::Sum>(&ndata[0], ndata.size());
test::CallEnd("Allreduce::Sum", ntrial, iter);
for (size_t i = 0; i < ndata.size(); ++i) {
float rsum = 0.0f;
@ -113,13 +88,9 @@ inline void TestBcast(size_t n, int root, int ntrial, int iter) {
std::string res;
if (root == rank) {
res = s;
test::CallBegin("Broadcast", ntrial, iter);
rabit::Broadcast(&res, root);
test::CallBegin("Broadcast", ntrial, iter);
} else {
test::CallBegin("Broadcast", ntrial, iter);
rabit::Broadcast(&res, root);
test::CallEnd("Broadcast", ntrial, iter);
}
utils::Check(res == s, "[%d] TestBcast fail", rank);
}
@ -141,34 +112,26 @@ int main(int argc, char *argv[]) {
int n;
if (sscanf(argv[i], "repeat=%d", &n) == 1) ntrial = n;
}
while (true) {
try {
int iter = rabit::LoadCheckPoint(&model, &local);
if (iter == 0) {
model.InitModel(n, 1.0f);
local.InitModel(n, 1.0f + rank);
printf("[%d] reload-trail=%d, init iter=%d\n", rank, ntrial, iter);
} else {
printf("[%d] reload-trail=%d, init iter=%d\n", rank, ntrial, iter);
}
for (int r = iter; r < 3; ++r) {
TestMax(&model, &local, ntrial, r);
printf("[%d] !!!TestMax pass, iter=%d\n", rank, r);
int step = std::max(nproc / 3, 1);
for (int i = 0; i < nproc; i += step) {
TestBcast(n, i, ntrial, r);
}
printf("[%d] !!!TestBcast pass, iter=%d\n", rank, r);
TestSum(&model, &local, ntrial, r);
printf("[%d] !!!TestSum pass, iter=%d\n", rank, r);
rabit::CheckPoint(&model, &local);
printf("[%d] !!!CheckPont pass, iter=%d\n", rank, r);
}
break;
} catch (MockException &e) {
rabit::engine::GetEngine()->InitAfterException();
++ntrial;
int iter = rabit::LoadCheckPoint(&model, &local);
if (iter == 0) {
model.InitModel(n, 1.0f);
local.InitModel(n, 1.0f + rank);
printf("[%d] reload-trail=%d, init iter=%d\n", rank, ntrial, iter);
} else {
printf("[%d] reload-trail=%d, init iter=%d\n", rank, ntrial, iter);
}
for (int r = iter; r < 3; ++r) {
TestMax(&model, &local, ntrial, r);
printf("[%d] !!!TestMax pass, iter=%d\n", rank, r);
int step = std::max(nproc / 3, 1);
for (int i = 0; i < nproc; i += step) {
TestBcast(n, i, ntrial, r);
}
printf("[%d] !!!TestBcast pass, iter=%d\n", rank, r);
TestSum(&model, &local, ntrial, r);
printf("[%d] !!!TestSum pass, iter=%d\n", rank, r);
rabit::CheckPoint(&model, &local);
printf("[%d] !!!CheckPont pass, iter=%d\n", rank, r);
}
rabit::Finalize();
return 0;

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@ -5,30 +5,7 @@
#include <cstdio>
#include <cstdlib>
#include <cmath>
#include "./mock.h"
using namespace rabit;
namespace rabit {
namespace test {
inline void CallBegin(const char *fun, int ntrial, int iter) {
return;
int rank = rabit::GetRank();
if (!strcmp(fun, "Allreduce::Sum")) {
if (ntrial == iter && rank == 0) exit(-1);
}
if (!strcmp(fun, "Allreduce::Max")) {
if (ntrial == iter && rank == 3) exit(-1);
}
}
inline void CallEnd(const char *fun, int ntrial, int iter) {
return;
int rank = rabit::GetRank();
if (!strcmp(fun, "Allreduce::Bcast")) {
if (ntrial == iter && rand() % 10 == rank) exit(-1);
}
}
}
}
// dummy model
class Model : public rabit::ISerializable {
@ -58,9 +35,7 @@ inline void TestMax(Model *model, int ntrial, int iter) {
for (size_t i = 0; i < ndata.size(); ++i) {
ndata[i] = (i * (rank+1)) % z + model->data[i];
}
test::CallBegin("Allreduce::Max", ntrial, iter);
rabit::Allreduce<op::Max>(&ndata[0], ndata.size());
test::CallEnd("Allreduce::Max", ntrial, iter);
for (size_t i = 0; i < ndata.size(); ++i) {
float rmax = (i * 1) % z + model->data[i];
@ -81,9 +56,7 @@ inline void TestSum(Model *model, int ntrial, int iter) {
for (size_t i = 0; i < ndata.size(); ++i) {
ndata[i] = (i * (rank+1)) % z + model->data[i];
}
test::CallBegin("Allreduce::Sum", ntrial, iter);
Allreduce<op::Sum>(&ndata[0], ndata.size());
test::CallEnd("Allreduce::Sum", ntrial, iter);
for (size_t i = 0; i < ndata.size(); ++i) {
float rsum = model->data[i] * nproc;
@ -105,13 +78,9 @@ inline void TestBcast(size_t n, int root, int ntrial, int iter) {
std::string res;
if (root == rank) {
res = s;
test::CallBegin("Broadcast", ntrial, iter);
rabit::Broadcast(&res, root);
test::CallBegin("Broadcast", ntrial, iter);
} else {
test::CallBegin("Broadcast", ntrial, iter);
rabit::Broadcast(&res, root);
test::CallEnd("Broadcast", ntrial, iter);
}
utils::Check(res == s, "[%d] TestBcast fail", rank);
}
@ -133,33 +102,25 @@ int main(int argc, char *argv[]) {
int n;
if (sscanf(argv[i], "rabit_num_trial=%d", &n) == 1) ntrial = n;
}
while (true) {
try {
int iter = rabit::LoadCheckPoint(&model);
if (iter == 0) {
model.InitModel(n);
printf("[%d] reload-trail=%d, init iter=%d\n", rank, ntrial, iter);
} else {
printf("[%d] reload-trail=%d, init iter=%d\n", rank, ntrial, iter);
}
for (int r = iter; r < 3; ++r) {
TestMax(&model, ntrial, r);
printf("[%d] !!!TestMax pass, iter=%d\n", rank, r);
int step = std::max(nproc / 3, 1);
for (int i = 0; i < nproc; i += step) {
TestBcast(n, i, ntrial, r);
}
printf("[%d] !!!TestBcast pass, iter=%d\n", rank, r);
TestSum(&model, ntrial, r);
printf("[%d] !!!TestSum pass, iter=%d\n", rank, r);
rabit::CheckPoint(&model);
printf("[%d] !!!CheckPont pass, iter=%d\n", rank, r);
}
break;
} catch (MockException &e) {
rabit::engine::GetEngine()->InitAfterException();
++ntrial;
int iter = rabit::LoadCheckPoint(&model);
if (iter == 0) {
model.InitModel(n);
printf("[%d] reload-trail=%d, init iter=%d\n", rank, ntrial, iter);
} else {
printf("[%d] reload-trail=%d, init iter=%d\n", rank, ntrial, iter);
}
for (int r = iter; r < 3; ++r) {
TestMax(&model, ntrial, r);
printf("[%d] !!!TestMax pass, iter=%d\n", rank, r);
int step = std::max(nproc / 3, 1);
for (int i = 0; i < nproc; i += step) {
TestBcast(n, i, ntrial, r);
}
printf("[%d] !!!TestBcast pass, iter=%d\n", rank, r);
TestSum(&model, ntrial, r);
printf("[%d] !!!TestSum pass, iter=%d\n", rank, r);
rabit::CheckPoint(&model);
printf("[%d] !!!CheckPont pass, iter=%d\n", rank, r);
}
rabit::Finalize();
return 0;

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@ -9,6 +9,7 @@ import os
import subprocess
from threading import Thread
import rabit_tracker as tracker
WRAPPER_PATH = os.path.dirname(__file__) + '/../wrapper'
parser = argparse.ArgumentParser(description='Rabit script to submit rabit job locally using python subprocess')
parser.add_argument('-n', '--nworker', required=True, type=int,
@ -25,8 +26,9 @@ def exec_cmd(cmd, taskid):
cmd = ' '.join(cmd)
ntrial = 0
while True:
prep = 'PYTHONPATH=\"%s\" ' % WRAPPER_PATH
arg = ' rabit_task_id=%d rabit_num_trial=%d' % (taskid, ntrial)
ret = subprocess.call(cmd + arg, shell = True)
ret = subprocess.call(prep + cmd + arg, shell = True)
if ret == 254 or ret == -2:
ntrial += 1
continue

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@ -11,6 +11,7 @@ import subprocess
import warnings
import rabit_tracker as tracker
WRAPPER_PATH = os.path.dirname(__file__) + '/../wrapper'
#!!! Set path to hadoop and hadoop streaming jar here
hadoop_binary = 'hadoop'
@ -102,6 +103,13 @@ def hadoop_streaming(nworker, worker_args, use_yarn):
args.command[i] = './' + args.command[i].split('/')[-1]
else:
args.command[i] = args.command[i].split('/')[-1]
if args.commands[0].endswith('.py'):
flst = [WRAPPER_PATH + '/rabit.py',
WRAPPER_PATH + '/librabit_wrapper.so',
WRAPPER_PATH + '/librabit_wrapper_mock.so']
for f in flst:
if os.path.exists(f):
fset.add(f)
kmap = {}
# setup keymaps
if use_yarn:

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@ -7,18 +7,34 @@ import cPickle as pickle
import ctypes
import os
import sys
import warnings
import numpy as np
if os.name == 'nt':
assert False, "Rabit windows is not yet compiled"
else:
RABIT_PATH = os.path.dirname(__file__)+'/librabit_wrapper.so'
WRAPPER_PATH = os.path.dirname(__file__)
rbtlib = None
# load in xgboost library
rbtlib = ctypes.cdll.LoadLibrary(RABIT_PATH)
rbtlib.RabitGetRank.restype = ctypes.c_int
rbtlib.RabitGetWorldSize.restype = ctypes.c_int
rbtlib.RabitVersionNumber.restype = ctypes.c_int
def loadlib__(with_mock = False):
global rbtlib
if rbtlib != None:
warnings.Warn('rabit.int call was ignored because it has already been initialized', level = 2)
return
if with_mock:
rbtlib = ctypes.cdll.LoadLibrary(WRAPPER_PATH + '/librabit_wrapper_mock.so')
else:
rbtlib = ctypes.cdll.LoadLibrary(WRAPPER_PATH + '/librabit_wrapper.so')
rbtlib.RabitGetRank.restype = ctypes.c_int
rbtlib.RabitGetWorldSize.restype = ctypes.c_int
rbtlib.RabitVersionNumber.restype = ctypes.c_int
def unloadlib__():
global rbtlib
del rbtlib
rbtlib = None
# reduction operators
MAX = 0
@ -32,14 +48,17 @@ def check_err__():
"""
return
def init(args = sys.argv):
def init(args = sys.argv, with_mock = False):
"""
intialize the rabit module, call this once before using anything
Arguments:
args: list(string)
the list of arguments used to initialized the rabit
usually you need to pass in sys.argv
args: list(string) [default=sys.argv]
the list of arguments used to initialized the rabit
usually you need to pass in sys.argv
with_mock: boolean [default=False]
Whether initialize the mock test module
"""
loadlib__(with_mock)
arr = (ctypes.c_char_p * len(args))()
arr[:] = args
rbtlib.RabitInit(len(args), arr)
@ -51,6 +70,7 @@ def finalize():
"""
rbtlib.RabitFinalize()
check_err__()
unloadlib__()
def get_rank():
"""
@ -156,7 +176,7 @@ DTYPE_ENUM__ = {
np.dtype('float64') : 7
}
def allreduce(data, op):
def allreduce(data, op, prepare_fun = None):
"""
perform allreduce, return the result, this function is not thread-safe
Arguments:
@ -164,8 +184,8 @@ def allreduce(data, op):
input data
op: int
reduction operators, can be MIN, MAX, SUM, BITOR
prepare_fun: lambda
Lazy preprocessing function, if it is not None, prepare_fun()
prepare_fun: lambda data
Lazy preprocessing function, if it is not None, prepare_fun(data)
will be called by the function before performing allreduce, to intialize the data
If the result of Allreduce can be recovered directly, then prepare_fun will NOT be called
Returns:
@ -178,9 +198,17 @@ def allreduce(data, op):
buf = buf.copy()
if buf.dtype not in DTYPE_ENUM__:
raise Exception('data type %s not supported' % str(buf.dtype))
rbtlib.RabitAllreduce(buf.ctypes.data_as(ctypes.c_void_p),
buf.size, DTYPE_ENUM__[dtype],
op, None, None);
if prepare_fun is None:
rbtlib.RabitAllreduce(buf.ctypes.data_as(ctypes.c_void_p),
buf.size, DTYPE_ENUM__[buf.dtype],
op, None, None)
else:
PFUNC = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
def pfunc(args):
prepare_fun(data)
rbtlib.RabitAllreduce(buf.ctypes.data_as(ctypes.c_void_p),
buf.size, DTYPE_ENUM__[buf.dtype],
op, PFUNC(pfunc), None)
check_err__()
return buf
@ -273,4 +301,3 @@ def version_number():
ret = rbtlib.RabitVersionNumber()
check_err__()
return ret