Created by: PseudoProgrammer

adam learning algorithm get an error， but it works well when i set adagrad adam settings

Settings(
    algorithm='sgd',
    learning_rate=0.01,
    learning_method = 'adam',
    adam_beta1 = 0.9,
    adam_beta2 = 0.999,
    ada_epsilon = 1e-6,
    ada_rou = 0.95,
    batch_size = 789,
    learning_rate_decay_a=0,
    learning_rate_decay_b=0,
    num_batches_per_send_parameter=1,
    num_batches_per_get_parameter=1,
  )

adagrad settings：

Settings(
    algorithm='sgd',
    learning_rate=0.01,
    learning_method = 'adagrad',
    ada_epsilon = 1e-6,
    ada_rou = 0.95,
    batch_size = 789,
    learning_rate_decay_a=0,
    learning_rate_decay_b=0,
    num_batches_per_send_parameter=1,
    num_batches_per_get_parameter=1,
  )

train.log：

Fri Dec 30 01:25:25 2016[1,17]<stderr>:+ ./paddle_trainer --num_gradient_servers=40 --trainer_id=17 --pservers=10.90.165.41,10.90.165.39,10.90.165.37,10.90.165.38,10.90.165.35,10.90.165.36,10.90.165.33,10.90.165.34,10.90.165.31,10.90.165.32,10.90.165.30,10.90.168.20,10.90.168.21,10.90.168.22,10.90.168.23,10.90.168.24,10.90.168.25,10.90.168.26,10.90.168.27,10.90.168.28,10.90.168.29,10.90.168.32,10.90.168.33,10.90.168.30,10.90.168.31,10.90.168.36,10.90.168.37,10.90.168.34,10.90.168.35,10.90.168.38,10.90.168.39,10.90.168.40,10.90.168.41,10.90.168.42,10.90.168.43,10.90.168.44,10.90.102.42,10.90.102.41,10.90.102.44,10.90.102.43 --rdma_tcp=tcp --nics=xgbe0 --saving_period=5 --port=7164 --ports_num=1 --local=0 --comment=_job.16597.instances --dot_period=1000 --log_period=1000 --num_passes=5000 --trainer_count=10 --load_missing_parameter_strategy=rand --config=conf/trainer_config.conf --save_dir=./output --python_path=./python-gcc345 --python_bin=python2.7 --use_gpu=0
Fri Dec 30 01:25:41 2016[1,18]<stderr>:F1230 01:25:41.543866  7156 BaseClient.cpp:25] Check failed: numPorts > 0 (0 vs. 0) 
Fri Dec 30 01:25:41 2016[1,18]<stderr>:*** Check failure stack trace: ***
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @           0x8d7788  google::LogMessage::Fail()
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @           0x8d76e0  google::LogMessage::SendToLog()
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @           0x8d7175  google::LogMessage::Flush()
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @           0x8d9f36  google::LogMessageFatal::~LogMessageFatal()
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @           0x766304  paddle::BaseClient::BaseClient()
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @           0x76c909  paddle::ParameterClient2::ParameterClient2()
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @           0x75538f  paddle::SparseRemoteParameterUpdater::init()
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @           0x74b437  _ZNSt6thread5_ImplISt12_Bind_resultIvFZN6paddle14SyncThreadPool5startEvEUliE_mEEE6_M_runEv
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @     0x7fcc36ea0462  execute_native_thread_routine
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @     0x7fcc37529d30  start_thread
Fri Dec 30 01:25:41 2016[1,18]<stderr>:    @     0x7fcc366f0afd  clone