Yu Yang
8 years ago
commit
ff000ae76a
@ -0,0 +1,181 @@
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package pserver
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import (
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"context"
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"errors"
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"strconv"
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"strings"
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"time"
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"github.com/PaddlePaddle/Paddle/go/utils/networkhelper"
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"github.com/coreos/etcd/clientv3"
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"github.com/coreos/etcd/clientv3/concurrency"
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log "github.com/sirupsen/logrus"
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)
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// EtcdClient is the etcd client that the pserver uses for fault
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// tolerance, service registry and coordination.
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type EtcdClient struct {
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numPservers int
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etcdEndpoints string
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etcdClient *clientv3.Client
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// etcdTimeout is also used as retry intervals.
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etcdTimeout time.Duration
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// FIXME: ensure GetExternalIP gets the correct ip for trainers to connect.
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externalIP string
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// desired number of pservers in the job.
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// assume desired will not change during one training job.
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desired int
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}
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// NewEtcdClient creates an EtcdClient
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func NewEtcdClient(endpoints string, numPservers int, timeout time.Duration) *EtcdClient {
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return &EtcdClient{
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etcdTimeout: timeout,
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numPservers: numPservers,
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etcdEndpoints: endpoints,
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}
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}
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// Register registers the pserver on etcd
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//
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// Register returns the index of the current pserver.
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func (e *EtcdClient) Register() (int, error) {
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var err error
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e.externalIP, err = networkhelper.GetExternalIP()
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if err != nil {
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return 0, err
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}
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// initialize connection to etcd.
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ep := strings.Split(e.etcdEndpoints, ",")
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for {
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cli, err := clientv3.New(clientv3.Config{
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Endpoints: ep,
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DialTimeout: e.etcdTimeout,
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})
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if err != nil {
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log.Errorf("connect to etcd error: %v", err)
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time.Sleep(e.etcdTimeout)
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continue
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}
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e.etcdClient = cli
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log.Debugf("inited client to %s", e.etcdEndpoints)
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break
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}
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// init /ps_desired using transaction, for multiple pservers may want to write
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// it at the same time.
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for {
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ctx, cancel := context.WithTimeout(context.Background(), time.Second)
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_, err := e.initDesiredPsercers(ctx, e.numPservers)
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cancel()
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if err != nil {
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log.Warn(err)
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time.Sleep(e.etcdTimeout)
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continue
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}
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break
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}
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// TODO: when implementing extending or reducing pservers, /ps_desired is
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// changed, then we need to watch /ps_desired node for events. For now, just
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// write once when init and read from it.
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// wait and set s.desired init value
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for {
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ctx, cancel := context.WithTimeout(context.Background(), time.Second)
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resp, err := e.etcdClient.Get(ctx, PsDesired)
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cancel()
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if err != nil {
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log.Errorf("getting %s error: %v", PsDesired, err)
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time.Sleep(e.etcdTimeout)
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continue
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}
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if len(resp.Kvs) != 0 {
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e.desired, err = strconv.Atoi(string(resp.Kvs[0].Value))
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if err != nil {
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log.Errorf("value of %s invalid %v\n", PsDesired, err)
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time.Sleep(e.etcdTimeout)
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// NOTE: wait util ps_desired value change
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continue
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}
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break
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}
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}
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var pserverIdx int
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// try register pserver node on etcd
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for {
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ctx, cancel := context.WithTimeout(context.Background(), time.Second)
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var err error
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pserverIdx, err = e.registerPserverEtcd(ctx)
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cancel()
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if err != nil {
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log.Warn(err)
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time.Sleep(e.etcdTimeout)
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continue
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}
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break
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}
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return pserverIdx, nil
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}
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func (e *EtcdClient) initDesiredPsercers(ctx context.Context, numPservers int) (*clientv3.TxnResponse, error) {
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return concurrency.NewSTM(e.etcdClient, func(c concurrency.STM) error {
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dsStr := c.Get(PsDesired)
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if dsStr == "" {
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c.Put(PsDesired, strconv.Itoa(numPservers))
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}
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return nil
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}, concurrency.WithAbortContext(ctx), concurrency.WithIsolation(concurrency.RepeatableReads))
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}
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// registerPserverEtcd registers pserver node on etcd using transaction.
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func (e *EtcdClient) registerPserverEtcd(ctx context.Context) (int, error) {
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var idx int
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_, err := concurrency.NewSTM(e.etcdClient, func(c concurrency.STM) error {
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registered := false
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for i := 0; i < e.desired; i++ {
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psKey := "/ps/" + strconv.Itoa(i)
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log.Debugf("checking %s", psKey)
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ps := c.Get(psKey)
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log.Debugf("got value (%s) for key: %s", ps, psKey)
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if ps == "" {
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resp, err := e.etcdClient.Grant(context.TODO(), 5)
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if err != nil {
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log.Fatal(err)
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}
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// find the first id and write info
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c.Put(psKey, e.externalIP, clientv3.WithLease(resp.ID))
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log.Debugf("set pserver node %s with value %s", psKey, e.externalIP)
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ch, kaerr := e.etcdClient.KeepAlive(context.TODO(), resp.ID)
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if kaerr != nil {
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log.Errorf("keepalive etcd node error: %v", kaerr)
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return kaerr
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}
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// Eat the keep alive message so etcd
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// will not expire the lease.
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go func(ch <-chan *clientv3.LeaseKeepAliveResponse) {
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ka := <-ch
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log.Debugf("keepalive: %d\n", ka.TTL)
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}(ch)
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log.Debug("register finished")
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idx = i
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registered = true
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break
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}
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}
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if registered == true {
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return nil
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}
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return errors.New("not registerd, may due to already have enough pservers")
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}, concurrency.WithAbortContext(ctx), concurrency.WithIsolation(concurrency.RepeatableReads))
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if err != nil {
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return 0, err
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}
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return idx, nil
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}
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@ -0,0 +1,5 @@
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---
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Language: Cpp
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BasedOnStyle: Google
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Standard: Cpp11
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...
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@ -0,0 +1 @@
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add_subdirectory(detail)
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@ -0,0 +1,7 @@
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if(${WITH_GPU})
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nv_library(system_allocator SRCS system_allocator.cc DEPS gflags)
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nv_test(system_allocator_test SRCS system_allocator_test.cc DEPS system_allocator gflags)
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else(${WITH_GPU})
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cc_library(system_allocator SRCS system_allocator.cc DEPS gflags)
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cc_test(system_allocator_test SRCS system_allocator_test.cc DEPS system_allocator gflags)
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endif(${WITH_GPU})
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@ -0,0 +1,35 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "paddle/memory/detail/buddy_allocator.h"
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namespace paddle {
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namespace memory {
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namespace detail {
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BuddyAllocator::BuddyAllocator(size_t pool_size, size_t max_pools,
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SystemAllocator* system_allocator)
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: pool_size_(pool_size),
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max_pools_(max_pools),
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system_allocator_(system_allocator) {
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PADDLE_ASSERT(pool_size > 0);
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PADDLE_ASSERT(max_pools > 0);
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PADDLE_ASSERT(system_allocator != nullptr);
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}
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} // namespace detail
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} // namespace memory
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} // namespace paddle
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@ -0,0 +1,86 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "paddle/memory/detail/system_allocator.h"
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#include <mutex>
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#include <vector>
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namespace paddle {
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namespace memory {
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namespace detail {
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class BuddyAllocator {
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public:
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BuddyAllocator(size_t pool_size, size_t max_pools,
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SystemAllocator* system_allocator);
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~BuddyAllocator();
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void* Alloc(size_t size);
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void Free(void*);
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size_t Used();
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private:
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struct Block {
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size_t size_;
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Block* left_; // left buddy
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Block* right_; // right buddy
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};
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// Initially, there is only one pool. If a Alloc founds not enough
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// memory from that pool, and there has not been max_num_pools_,
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// create a new pool by calling system_allocator_.Alloc(pool_size_).
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std::vector<void*> pools_;
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size_t pool_size_; // the size of each pool;
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size_t max_num_pools_; // the size of all pools;
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SystemAllocator* system_allocator_;
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std::mutex mutex_;
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// Disable copy and assignment.
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BuddyAllocator(const BuddyAllocator&) = delete;
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BuddyAllocator& operator=(const BuddyAllocator&) = delete;
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};
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BuddyAllocator<CPUAllocator>* GetCPUBuddyAllocator() {
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static BuddyAllocator<CPUAllocator>* a = nullptr;
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if (a == nullptr) {
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a = new BuddyAllocator<CPUAllocator>();
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}
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return a;
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}
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#ifndef PADDLE_ONLY_CPU // The following code are for CUDA.
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BuddyAllocator<GPUAllocator>* GetGPUBuddyAllocator(int gpu_id) {
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static BuddyAllocator<GPUAllocator>** as = NULL;
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if (as == NULL) {
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int gpu_num = platform::GetDeviceCount();
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as = new BuddyAllocator<GPUAllocator>*[gpu_num];
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for (int gpu = 0; gpu < gpu_num; gpu++) {
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as[gpu] = new BuddyAllocator<GPUAllocator>();
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}
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}
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return as[gpu_id];
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}
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#endif // PADDLE_ONLY_CPU
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} // namespace detail
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} // namespace memory
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} // namespace paddle
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@ -0,0 +1,90 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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|
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Licensed under the Apache License, Version 2.0 (the "License");
|
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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. */
|
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|
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#include "paddle/memory/detail/system_allocator.h"
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#include <stdlib.h> // for malloc and free
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#include <sys/mman.h> // for mlock and munlock
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#include "gflags/gflags.h"
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#include "paddle/platform/assert.h"
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#include "paddle/platform/cuda.h"
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// If use_pinned_memory is true, CPUAllocator calls mlock, which
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// returns pinned and locked memory as staging areas for data exchange
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// between host and device. Allocates too much would reduce the amount
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// of memory available to the system for paging. So, by default, we
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// should set false to use_pinned_memory.
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DEFINE_bool(use_pinned_memory, false,
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"If set, allocate cpu/gpu pinned memory.");
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namespace paddle {
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namespace memory {
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namespace detail {
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void* CPUAllocator::Alloc(size_t size) {
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// According to http://www.cplusplus.com/reference/cstdlib/malloc/,
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// malloc might not return nullptr if size is zero, but the returned
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// pointer shall not be dereferenced -- so we make it nullptr.
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if (size <= 0) return nullptr;
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void* p = malloc(size);
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if (p != nullptr && FLAGS_use_pinned_memory) {
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mlock(p, size);
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}
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return p;
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}
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void CPUAllocator::Free(void* p, size_t size) {
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if (p != nullptr && FLAGS_use_pinned_memory) {
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munlock(p, size);
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}
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free(p);
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}
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#ifndef PADDLE_ONLY_CPU
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void* GPUAllocator::Alloc(size_t size) {
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// CUDA documentation doesn't explain if cudaMalloc returns nullptr
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// if size is 0. We just make sure it does.
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if (size <= 0) {
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return nullptr;
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}
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|
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void* p = 0;
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cudaError_t result =
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FLAGS_use_pinned_memory ? cudaMallocHost(&p, size) : cudaMalloc(&p, size);
|
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if (result != cudaSuccess) {
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cudaGetLastError(); // clear error if there is any.
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}
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return result == cudaSuccess ? p : nullptr;
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}
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|
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void GPUAllocator::Free(void* p, size_t size) {
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// Purposefully allow cudaErrorCudartUnloading, because
|
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// that is returned if you ever call cudaFree after the
|
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// driver has already shutdown. This happens only if the
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// process is terminating, in which case we don't care if
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// cudaFree succeeds.
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cudaError_t err = FLAGS_use_pinned_memory ? cudaFreeHost(p) : cudaFree(p);
|
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if (err != cudaErrorCudartUnloading) {
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platform::throw_on_error(err, "cudaFree{Host} failed");
|
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}
|
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}
|
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|
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#endif // PADDLE_ONLY_CPU
|
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|
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} // namespace detail
|
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} // namespace memory
|
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} // namespace paddle
|
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@ -0,0 +1,53 @@
|
||||
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
||||
|
||||
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. */
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <stddef.h> // for size_t
|
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|
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namespace paddle {
|
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namespace memory {
|
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namespace detail {
|
||||
|
||||
// SystemAllocator is the parent class of CPUAllocator and
|
||||
// GPUAllocator. A BuddyAllocator object uses a SystemAllocator*
|
||||
// pointing to the underlying system allocator. An alternative to
|
||||
// this class hierarchy is to pass a system allocator class to
|
||||
// BuddyAllocator as a template parameter. This approach makes
|
||||
// BuddyAllocator a class template, and it's very complicated
|
||||
// algorithm would make the buddy_allocator.h messy.
|
||||
class SystemAllocator {
|
||||
public:
|
||||
virtual ~SystemAllocator() {}
|
||||
virtual void* Alloc(size_t size) = 0;
|
||||
virtual void Free(void* p, size_t size) = 0;
|
||||
};
|
||||
|
||||
class CPUAllocator : public SystemAllocator {
|
||||
public:
|
||||
virtual void* Alloc(size_t size);
|
||||
virtual void Free(void* p, size_t size);
|
||||
};
|
||||
|
||||
#ifndef PADDLE_ONLY_CPU
|
||||
class GPUAllocator : public SystemAllocator {
|
||||
public:
|
||||
virtual void* Alloc(size_t size);
|
||||
virtual void Free(void* p, size_t size);
|
||||
};
|
||||
#endif // PADDLE_ONLY_CPU
|
||||
|
||||
} // namespace detail
|
||||
} // namespace memory
|
||||
} // namespace paddle
|
||||
@ -0,0 +1,71 @@
|
||||
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
||||
|
||||
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. */
|
||||
|
||||
#include "paddle/memory/detail/system_allocator.h"
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
|
||||
#include "gflags/gflags.h"
|
||||
#include "gtest/gtest.h"
|
||||
|
||||
DECLARE_bool(use_pinned_memory);
|
||||
|
||||
void TestAllocator(paddle::memory::detail::SystemAllocator& a, size_t size) {
|
||||
bool freed = false;
|
||||
{
|
||||
void* p = a.Alloc(size);
|
||||
if (size > 0) {
|
||||
EXPECT_NE(p, nullptr);
|
||||
} else {
|
||||
EXPECT_EQ(p, nullptr);
|
||||
}
|
||||
|
||||
int* i = static_cast<int*>(p);
|
||||
std::shared_ptr<int> ptr(i, [&](void* p) {
|
||||
freed = true;
|
||||
a.Free(p, size);
|
||||
});
|
||||
}
|
||||
EXPECT_TRUE(freed);
|
||||
}
|
||||
|
||||
TEST(CPUAllocator, NoLockMem) {
|
||||
FLAGS_use_pinned_memory = false;
|
||||
paddle::memory::detail::CPUAllocator a;
|
||||
TestAllocator(a, 2048);
|
||||
TestAllocator(a, 0);
|
||||
}
|
||||
|
||||
TEST(CPUAllocator, LockMem) {
|
||||
FLAGS_use_pinned_memory = true;
|
||||
paddle::memory::detail::CPUAllocator a;
|
||||
TestAllocator(a, 2048);
|
||||
TestAllocator(a, 0);
|
||||
}
|
||||
|
||||
#ifndef PADDLE_ONLY_CPU
|
||||
TEST(GPUAllocator, NoStaging) {
|
||||
FLAGS_use_pinned_memory = false;
|
||||
paddle::memory::detail::GPUAllocator a;
|
||||
TestAllocator(a, 2048);
|
||||
TestAllocator(a, 0);
|
||||
}
|
||||
TEST(GPUAllocator, Staging) {
|
||||
FLAGS_use_pinned_memory = true;
|
||||
paddle::memory::detail::GPUAllocator a;
|
||||
TestAllocator(a, 2048);
|
||||
TestAllocator(a, 0);
|
||||
}
|
||||
#endif // PADDLE_ONLY_CPU
|
||||
@ -0,0 +1,59 @@
|
||||
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
||||
|
||||
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. */
|
||||
|
||||
#include "paddle/memory/memory.h"
|
||||
#include "paddle/memory/detail/buddy_allocator.h"
|
||||
#include "paddle/memory/detail/system_allocator.h"
|
||||
#include "paddle/platform/assert.h"
|
||||
|
||||
#include <boost/variant.hpp>
|
||||
|
||||
namespace paddle {
|
||||
namespace memory {
|
||||
|
||||
void* Alloc(platform::Place pl, size_t size) {
|
||||
#ifndef PADDLE_ONLY_CPU
|
||||
if (paddle::platform::is_gpu_place(pl)) {
|
||||
size_t gpu_id = boost::get<platform::GPUPlace>(pl).device;
|
||||
return detail::GetGPUBuddyAllocator(gpu_id)->Alloc(size);
|
||||
}
|
||||
#endif // PADDLE_ONLY_CPU
|
||||
PADDLE_ASSERT(paddle::platform::is_cpu_place(pl));
|
||||
return detail::GetCPUBuddyAllocator()->Alloc(size);
|
||||
}
|
||||
|
||||
void Free(paddle::platform::Place pl, void* p) {
|
||||
#ifndef PADDLE_ONLY_CPU
|
||||
if (paddle::platform::is_gpu_place(pl)) {
|
||||
size_t gpu_id = boost::get<platform::GPUPlace>(pl).device;
|
||||
detail::GetGPUBuddyAllocator(gpu_id)->Free(p);
|
||||
}
|
||||
#endif // PADDLE_ONLY_CPU
|
||||
PADDLE_ASSERT(paddle::platform::is_cpu_place(pl));
|
||||
detail::GetCPUBuddyAllocator()->Free(p);
|
||||
}
|
||||
|
||||
size_t Used(paddle::platform::Place pl) {
|
||||
#ifndef PADDLE_ONLY_CPU
|
||||
if (paddle::platform::is_gpu_place(pl)) {
|
||||
size_t gpu_id = boost::get<platform::GPUPlace>(pl).device;
|
||||
return detail::GetGPUBuddyAllocator(gpu_id)->Used();
|
||||
}
|
||||
#endif // PADDLE_ONLY_CPU
|
||||
PADDLE_ASSERT(paddle::platform::is_cpu_place(pl));
|
||||
return detail::GetCPUBuddyAllocator()->Used();
|
||||
}
|
||||
|
||||
} // namespace memory
|
||||
} // namespace paddle
|
||||
@ -0,0 +1,40 @@
|
||||
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
||||
|
||||
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. */
|
||||
|
||||
#pragma once
|
||||
|
||||
#ifndef PADDLE_ONLY_CPU
|
||||
|
||||
#include <thrust/system/cuda/error.h>
|
||||
#include <thrust/system_error.h>
|
||||
|
||||
namespace paddle {
|
||||
namespace platform {
|
||||
|
||||
inline void throw_on_error(cudaError_t e, const char* message) {
|
||||
if (e) {
|
||||
throw thrust::system_error(e, thrust::cuda_category(), message);
|
||||
}
|
||||
}
|
||||
|
||||
int GetDeviceCount(void) {
|
||||
int count;
|
||||
throw_on_error(cudaGetDeviceCount(&count), "cudaGetDeviceCount failed");
|
||||
return count;
|
||||
}
|
||||
|
||||
} // namespace platform
|
||||
} // namespace paddle
|
||||
|
||||
#endif // PADDLE_ONLY_CPU
|
||||
@ -1,10 +0,0 @@
|
||||
#include <gtest/gtest.h>
|
||||
#include <paddle/platform/must_check.h>
|
||||
|
||||
int __must_check SomeFunctionMustCheck() { return 0; }
|
||||
|
||||
TEST(MustCheck, all) {
|
||||
// This line should not be compiled, because the
|
||||
// return value of SomeFunctionMustCheck marked as __must_check
|
||||
// SomeFunctionMustCheck();
|
||||
}
|
||||
Some files were not shown because too many files have changed in this diff Show More
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Reference in new issue