mpi_config.ini.template

#type of storage cluster
storage_type="hdfs"

#attention: files for training should be put on hdfs
force_reuse_output_path="True"

# 可以替换成自己的hdfs集群
fs_name=<$ FS_NAME $>
fs_ugi=<$ FS_UGI $>

FLAGS_rpc_deadline=300000

##train data path on hdfs
train_data_path=<$ TRAIN_DATA_PATH $>
test_data_path=<$ TEST_DATA_PATH $>
output_path=<$ OUTPUT_PATH $>
thirdparty_path=<$ THIRDPARTY_PATH $>

PADDLE_PADDLEREC_ROLE=WORKER
PADDLEREC_CLUSTER_TYPE=MPI
use_python3=<$ USE_PYTHON3 $>
CPU_NUM=<$ CPU_NUM $>
GLOG_v=0

FLAGS_communicator_is_sgd_optimizer=<$ FLAGS_communicator_is_sgd_optimizer $>
FLAGS_communicator_send_queue_size=<$ FLAGS_communicator_send_queue_size $>
FLAGS_communicator_thread_pool_size=<$ FLAGS_communicator_thread_pool_size $>
FLAGS_communicator_max_merge_var_num=<$ FLAGS_communicator_max_merge_var_num $>
FLAGS_communicator_max_send_grad_num_before_recv=<$ FLAGS_communicator_max_send_grad_num_before_recv $>
FLAGS_communicator_fake_rpc=<$ FLAGS_communicator_fake_rpc $>
FLAGS_rpc_retry_times=<$ FLAGS_rpc_retry_times $>