Merge branch 'develop' into add_search_tip

.travis.yml

@@ -16,12 +16,6 @@ jobs:
       os: linux
       python: 3.6
       script: /bin/bash ./scripts/check_code_style.sh
-    - name: "CI on Linux/Python3.5"
-      os: linux
-      python: 3.5
-    - name: "CI on Linux/Python2.7"
-      os: linux
-      python: 2.7
 
 env:
   - PYTHONPATH=${PWD}
@@ -30,10 +24,6 @@ install:
   - pip install --upgrade paddlepaddle
   - pip install -r requirements.txt
 
-script:
-  - if [[ $TRAVIS_OS_NAME != "windows" ]]; then /bin/bash ./scripts/test_cml.sh; fi
-  - if [[ $TRAVIS_OS_NAME != "windows" ]]; then /bin/bash ./scripts/test_all_module.sh; fi
-
 notifications:
   email:
     on_success: change

demo/serving/bert_service/README.md

@@ -68,7 +68,7 @@ $ pip install ujson
 
 |模型|网络|
 |:-|:-:|
-|[ERNIE](https://paddlepaddle.org.cn/hubdetail?name=ERNIE&en_category=SemanticModel)|ERNIE|
+|[ernie](https://paddlepaddle.org.cn/hubdetail?name=ERNIE&en_category=SemanticModel)|ERNIE|
 |[ernie_tiny](https://paddlepaddle.org.cn/hubdetail?name=ernie_tiny&en_category=SemanticModel)|ERNIE|
 |[ernie_v2_eng_large](https://paddlepaddle.org.cn/hubdetail?name=ernie_v2_eng_large&en_category=SemanticModel)|ERNIE|
 |[ernie_v2_eng_base](https://paddlepaddle.org.cn/hubdetail?name=ernie_v2_eng_base&en_category=SemanticModel)|ERNIE|
@@ -179,18 +179,22 @@ Server[baidu::paddle_serving::predictor::bert_service::BertServiceImpl] is servi
 
 首先导入客户端依赖。  
 ```python
-from paddlehub.serving.bert_serving import bert_service
+from paddlehub.serving.bert_serving import bs_client
 ```
-接着输入文本信息。
+
+接着启动并初始化`bert service`客户端`BSClient`(这里的server为虚拟地址，需根据自己实际ip设置)
+```python
+bc = bs_client.BSClient(module_name="ernie_tiny", server="127.0.0.1:8866")
+```
+
+然后输入文本信息。
 ```python
 input_text = [["西风吹老洞庭波"], ["一夜湘君白发多"], ["醉后不知天在水"], ["满船清梦压星河"], ]
 ```
-然后利用客户端接口发送文本到服务端，以获取embedding结果(server为虚拟地址，需根据自己实际ip设置)。
+
+最后利用客户端接口`get_result`发送文本到服务端，以获取embedding结果。
 ```python
-result = bert_service.connect(
-    input_text=input_text,
-    model_name="ernie_tiny",
-    server="127.0.0.1:8866")
+result = bc.get_result(input_text=input_text)
 ```
 最后即可得到embedding结果(此处只展示部分结果)。
 ```python
@@ -221,8 +225,8 @@ Paddle Inference Server exit successfully!
 > Q : 如何在一台服务器部署多个模型？  
 > A : 可通过多次启动`Bert Service`，分配不同端口实现。如果使用GPU，需要指定不同的显卡。如同时部署`ernie`和`bert_chinese_L-12_H-768_A-12`，分别执行命令如下：  
 > ```shell
-> $ hub serving start bert_serving -m ernie -p 8866
-> $ hub serving start bert_serving -m bert_serving -m bert_chinese_L-12_H-768_A-12 -p 8867
+> $ hub serving start bert_service -m ernie -p 8866
+> $ hub serving start bert_service -m bert_chinese_L-12_H-768_A-12 -p 8867
 > ```
 
 > Q : 启动时显示"Check out http://yq01-gpu-255-129-12-00.epc.baidu.com:8887 in web

demo/serving/bert_service/bert_service_client.py

 # coding: utf8
-from paddlehub.serving.bert_serving import bert_service
+from paddlehub.serving.bert_serving import bs_client
 
 if __name__ == "__main__":
+    # 初始化bert_service客户端BSClient
+    bc = bs_client.BSClient(module_name="ernie_tiny", server="127.0.0.1:8866")
+
     # 输入要做embedding的文本
     # 文本格式为[["文本1"], ["文本2"], ]
     input_text = [
@@ -10,10 +13,10 @@ if __name__ == "__main__":
         ["醉后不知天在水"],
         ["满船清梦压星河"],
     ]
-    # 调用客户端接口bert_service.connect()获取结果
-    result = bert_service.connect(
-        input_text=input_text, model_name="ernie_tiny", server="127.0.0.1:8866")
 
-    # 打印embedding结果
+    # BSClient.get_result()获取结果
+    result = bc.get_result(input_text=input_text)
+
+    # 打印输入文本的embedding结果
     for item in result:
         print(item)

paddlehub/__init__.py

@@ -38,7 +38,7 @@ from .common.logger import logger
 from .common.paddle_helper import connect_program
 from .common.hub_server import default_hub_server
 
-from .module.module import Module, create_module
+from .module.module import Module
 from .module.base_processor import BaseProcessor
 from .module.signature import Signature, create_signature
 from .module.manager import default_module_manager

paddlehub/autofinetune/autoft.py

@@ -26,6 +26,7 @@ from tb_paddle import SummaryWriter
 from paddlehub.common.logger import logger
 from paddlehub.common.utils import mkdir
 from paddlehub.autofinetune.evaluator import REWARD_SUM, TMP_HOME
+from paddlehub.autofinetune.mpi_helper import MPIHelper
 
 if six.PY3:
     INF = math.inf
@@ -75,6 +76,12 @@ class BaseTuningStrategy(object):
                 logdir=self._output_dir + '/visualization/pop_{}'.format(i))
             self.writer_pop_trails.append(writer_pop_trail)
 
+        # for parallel on mpi
+        self.mpi = MPIHelper()
+        if self.mpi.multi_machine:
+            print("Autofinetune multimachine mode: running on {}".format(
+                self.mpi.gather(self.mpi.name)))
+
     @property
     def thread(self):
         return self._num_thread
@@ -177,16 +184,22 @@ class BaseTuningStrategy(object):
         solutions_modeldirs = {}
         mkdir(output_dir)
 
-        for idx, solution in enumerate(solutions):
+        solutions = self.mpi.bcast(solutions)
+
+        # split solutions to "solutions for me"
+        range_start, range_end = self.mpi.split_range(len(solutions))
+        my_solutions = solutions[range_start:range_end]
+
+        for idx, solution in enumerate(my_solutions):
             cuda = self.is_cuda_free["free"][0]
             modeldir = output_dir + "/model-" + str(idx) + "/"
             log_file = output_dir + "/log-" + str(idx) + ".info"
             params_cudas_dirs.append([solution, cuda, modeldir, log_file])
-            solutions_modeldirs[tuple(solution)] = modeldir
+            solutions_modeldirs[tuple(solution)] = (modeldir, self.mpi.rank)
             self.is_cuda_free["free"].remove(cuda)
             self.is_cuda_free["busy"].append(cuda)
             if len(params_cudas_dirs
-                   ) == self.thread or idx == len(solutions) - 1:
+                   ) == self.thread or idx == len(my_solutions) - 1:
                 tp = ThreadPool(len(params_cudas_dirs))
                 solution_results += tp.map(self.evaluator.run,
                                            params_cudas_dirs)
@@ -198,13 +211,25 @@ class BaseTuningStrategy(object):
                     self.is_cuda_free["busy"].remove(param_cuda[1])
                 params_cudas_dirs = []
 
-        self.feedback(solutions, solution_results)
+        all_solution_results = self.mpi.gather(solution_results)
+
+        if self.mpi.rank == 0:
+            # only rank 0 need to feedback
+            all_solution_results = [y for x in all_solution_results for y in x]
+            self.feedback(solutions, all_solution_results)
+
         # remove the tmp.txt which records the eval results for trials
         tmp_file = os.path.join(TMP_HOME, "tmp.txt")
         if os.path.exists(tmp_file):
             os.remove(tmp_file)
 
-        return solutions_modeldirs
+        # collect all solutions_modeldirs
+        collected_solutions_modeldirs = self.mpi.allgather(solutions_modeldirs)
+        return_dict = {}
+        for i in collected_solutions_modeldirs:
+            return_dict.update(i)
+
+        return return_dict
 
 
 class HAZero(BaseTuningStrategy):

paddlehub/autofinetune/mpi_helper.py

+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+
+class MPIHelper(object):
+    def __init__(self):
+        try:
+            from mpi4py import MPI
+        except:
+            # local run
+            self._size = 1
+            self._rank = 0
+            self._multi_machine = False
+
+            import socket
+            self._name = socket.gethostname()
+        else:
+            # in mpi environment
+            self._comm = MPI.COMM_WORLD
+            self._size = self._comm.Get_size()
+            self._rank = self._comm.Get_rank()
+            self._name = MPI.Get_processor_name()
+            if self._size > 1:
+                self._multi_machine = True
+            else:
+                self._multi_machine = False
+
+    @property
+    def multi_machine(self):
+        return self._multi_machine
+
+    @property
+    def rank(self):
+        return self._rank
+
+    @property
+    def size(self):
+        return self._size
+
+    @property
+    def name(self):
+        return self._name
+
+    def bcast(self, data):
+        if self._multi_machine:
+            # call real bcast
+            return self._comm.bcast(data, root=0)
+        else:
+            # do nothing
+            return data
+
+    def gather(self, data):
+        if self._multi_machine:
+            # call real gather
+            return self._comm.gather(data, root=0)
+        else:
+            # do nothing
+            return [data]
+
+    def allgather(self, data):
+        if self._multi_machine:
+            # call real allgather
+            return self._comm.allgather(data)
+        else:
+            # do nothing
+            return [data]
+
+    # calculate split range on mpi environment
+    def split_range(self, array_length):
+        if self._size == 1:
+            return 0, array_length
+        average_count = array_length / self._size
+        if array_length % self._size == 0:
+            return average_count * self._rank, average_count * (self._rank + 1)
+        else:
+            if self._rank < array_length % self._size:
+                return (average_count + 1) * self._rank, (average_count + 1) * (
+                    self._rank + 1)
+            else:
+                start = (average_count + 1) * (array_length % self._size) \
+                      + average_count * (self._rank - array_length % self._size)
+                return start, start + average_count
+
+
+if __name__ == "__main__":
+
+    mpi = MPIHelper()
+    print("Hello world from process {} of {} at {}.".format(
+        mpi.rank, mpi.size, mpi.name))
+
+    all_node_names = mpi.gather(mpi.name)
+    print("all node names using gather: {}".format(all_node_names))
+
+    all_node_names = mpi.allgather(mpi.name)
+    print("all node names using allgather: {}".format(all_node_names))
+
+    if mpi.rank == 0:
+        data = range(10)
+    else:
+        data = None
+    data = mpi.bcast(data)
+    print("after bcast, process {} have data {}".format(mpi.rank, data))
+
+    data = [i + mpi.rank for i in data]
+    print("after modify, process {} have data {}".format(mpi.rank, data))
+
+    new_data = mpi.gather(data)
+    print("after gather, process {} have data {}".format(mpi.rank, new_data))
+
+    # test for split
+    for i in range(12):
+        length = i + mpi.size  # length should >= mpi.size
+        [start, end] = mpi.split_range(length)
+        split_result = mpi.gather([start, end])
+        print("length {}, split_result {}".format(length, split_result))

paddlehub/commands/autofinetune.py

@@ -188,37 +188,62 @@ class AutoFineTuneCommand(BaseCommand):
             run_round_cnt = run_round_cnt + 1
         print("PaddleHub Autofinetune ends.")
 
+        best_hparams_origin = autoft.get_best_hparams()
+        best_hparams_origin = autoft.mpi.bcast(best_hparams_origin)
+
         with open(autoft._output_dir + "/log_file.txt", "w") as f:
-            best_hparams = evaluator.convert_params(autoft.get_best_hparams())
+            best_hparams = evaluator.convert_params(best_hparams_origin)
             print("The final best hyperparameters:")
             f.write("The final best hyperparameters:\n")
             for index, hparam_name in enumerate(autoft.hparams_name_list):
                 print("%s=%s" % (hparam_name, best_hparams[index]))
                 f.write(hparam_name + "\t:\t" + str(best_hparams[index]) + "\n")
 
+            best_hparams_dir, best_hparams_rank = solutions_modeldirs[tuple(
+                best_hparams_origin)]
+
             print("The final best eval score is %s." %
                   autoft.get_best_eval_value())
+
+            if autoft.mpi.multi_machine:
+                print("The final best model parameters are saved as " +
+                      autoft._output_dir + "/best_model on rank " +
+                      str(best_hparams_rank) + " .")
+            else:
                 print("The final best model parameters are saved as " +
                       autoft._output_dir + "/best_model .")
             f.write("The final best eval score is %s.\n" %
                     autoft.get_best_eval_value())
-            f.write(
-                "The final best model parameters are saved as ./best_model .")
 
             best_model_dir = autoft._output_dir + "/best_model"
-            shutil.copytree(
-                solutions_modeldirs[tuple(autoft.get_best_hparams())],
-                best_model_dir)
 
+            if autoft.mpi.rank == best_hparams_rank:
+                shutil.copytree(best_hparams_dir, best_model_dir)
+
+            if autoft.mpi.multi_machine:
+                f.write(
+                    "The final best model parameters are saved as ./best_model on rank " \
+                    + str(best_hparams_rank) + " .")
+                f.write("\t".join(autoft.hparams_name_list) +
+                        "\tsaved_params_dir\trank\n")
+            else:
+                f.write(
+                    "The final best model parameters are saved as ./best_model ."
+                )
                 f.write("\t".join(autoft.hparams_name_list) +
                         "\tsaved_params_dir\n")
+
             print(
                 "The related infomation about hyperparamemters searched are saved as %s/log_file.txt ."
                 % autoft._output_dir)
             for solution, modeldir in solutions_modeldirs.items():
                 param = evaluator.convert_params(solution)
                 param = [str(p) for p in param]
-                f.write("\t".join(param) + "\t" + modeldir + "\n")
+                if autoft.mpi.multi_machine:
+                    f.write("\t".join(param) + "\t" + modeldir[0] + "\t" +
+                            str(modeldir[1]) + "\n")
+                else:
+                    f.write("\t".join(param) + "\t" + modeldir[0] + "\n")
 
         return True
 

paddlehub/commands/install.py

@@ -18,6 +18,7 @@ from __future__ import division
 from __future__ import print_function
 
 import argparse
+import os
 
 from paddlehub.common import utils
 from paddlehub.module.manager import default_module_manager
@@ -42,14 +43,23 @@ class InstallCommand(BaseCommand):
             print("ERROR: Please specify a module name.\n")
             self.help()
             return False
+        extra = {"command": "install"}
+        if argv[0].endswith("tar.gz") or argv[0].endswith("phm"):
+            result, tips, module_dir = default_module_manager.install_module(
+                module_package=argv[0], extra=extra)
+        elif os.path.exists(argv[0]) and os.path.isdir(argv[0]):
+            result, tips, module_dir = default_module_manager.install_module(
+                module_dir=argv[0], extra=extra)
+        else:
             module_name = argv[0]
             module_version = None if "==" not in module_name else module_name.split(
                 "==")[1]
             module_name = module_name if "==" not in module_name else module_name.split(
                 "==")[0]
-        extra = {"command": "install"}
             result, tips, module_dir = default_module_manager.install_module(
-            module_name=module_name, module_version=module_version, extra=extra)
+                module_name=module_name,
+                module_version=module_version,
+                extra=extra)
         print(tips)
         return True
 

paddlehub/commands/run.py

@@ -71,7 +71,7 @@ class RunCommand(BaseCommand):
                 if not result:
                     return None
 
-        return hub.Module(module_dir=module_dir)
+        return hub.Module(directory=module_dir[0])
 
     def add_module_config_arg(self):
         configs = self.module.processor.configs()
@@ -105,7 +105,7 @@ class RunCommand(BaseCommand):
     def add_module_input_arg(self):
         module_type = self.module.type.lower()
         expect_data_format = self.module.processor.data_format(
-            self.module.default_signature.name)
+            self.module.default_signature)
         self.arg_input_group.add_argument(
             '--input_file',
             type=str,
@@ -152,7 +152,7 @@ class RunCommand(BaseCommand):
     def get_data(self):
         module_type = self.module.type.lower()
         expect_data_format = self.module.processor.data_format(
-            self.module.default_signature.name)
+            self.module.default_signature)
         input_data = {}
         if len(expect_data_format) == 1:
             key = list(expect_data_format.keys())[0]
@@ -177,7 +177,7 @@ class RunCommand(BaseCommand):
 
     def check_data(self, data):
         expect_data_format = self.module.processor.data_format(
-            self.module.default_signature.name)
+            self.module.default_signature)
 
         if len(data.keys()) != len(expect_data_format.keys()):
             print(
@@ -236,10 +236,13 @@ class RunCommand(BaseCommand):
             return False
 
         # If the module is not executable, give an alarm and exit
-        if not self.module.default_signature:
+        if not self.module.is_runable:
             print("ERROR! Module %s is not executable." % module_name)
             return False
 
+        if self.module.code_version == "v2":
+            results = self.module(argv[1:])
+        else:
             self.module.check_processor()
             self.add_module_config_arg()
             self.add_module_input_arg()
@@ -260,7 +263,7 @@ class RunCommand(BaseCommand):
                 return False
 
             results = self.module(
-            sign_name=self.module.default_signature.name,
+                sign_name=self.module.default_signature,
                 data=data,
                 use_gpu=self.args.use_gpu,
                 batch_size=self.args.batch_size,

paddlehub/commands/serving.py

@@ -159,7 +159,7 @@ class ServingCommand(BaseCommand):
             module = args.modules
             if module is not None:
                 use_gpu = args.use_gpu
-                port = args.port[0]
+                port = args.port
                 if ServingCommand.is_port_occupied("127.0.0.1", port) is True:
                     print("Port %s is occupied, please change it." % (port))
                     return False
@@ -206,10 +206,12 @@ class ServingCommand(BaseCommand):
         if args.sub_command == "start":
             if args.bert_service == "bert_service":
                 ServingCommand.start_bert_serving(args)
-            else:
+            elif args.bert_service is None:
                 ServingCommand.start_serving(args)
             else:
                 ServingCommand.show_help()
+        else:
+            ServingCommand.show_help()
 
 
 command = ServingCommand.instance()

paddlehub/commands/show.py

@@ -125,8 +125,6 @@ class ShowCommand(BaseCommand):
 
         cwd = os.getcwd()
         module_dir = default_module_manager.search_module(module_name)
-        module_dir = (os.path.join(cwd, module_name),
-                      None) if not module_dir else module_dir
         if not module_dir or not os.path.exists(module_dir[0]):
             print("%s is not existed!" % module_name)
             return True

paddlehub/common/hub_server.py

@@ -298,17 +298,23 @@ class CacheUpdater(threading.Thread):
         api_url = srv_utils.uri_path(default_hub_server.get_server_url(),
                                      'search')
         cache_path = os.path.join(CACHE_HOME, RESOURCE_LIST_FILE)
+        if os.path.exists(cache_path):
             extra = {
                 "command": "update_cache",
                 "mtime": os.stat(cache_path).st_mtime
             }
+        else:
+            extra = {
+                "command": "update_cache",
+                "mtime": time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
+            }
         try:
             r = srv_utils.hub_request(api_url, payload, extra)
-        except Exception as err:
-            pass
             if r.get("update_cache", 0) == 1:
                 with open(cache_path, 'w+') as fp:
                     yaml.safe_dump({'resource_list': r['data']}, fp)
+        except Exception as err:
+            pass
 
     def run(self):
         self.update_resource_list_file(self.module, self.version)

paddlehub/module/check_info.proto

@@ -50,6 +50,7 @@ message CheckInfo {
   string paddle_version = 1;
   string hub_version = 2;
   string module_proto_version = 3;
-  repeated FileInfo file_infos = 4;
-  repeated Requires requires = 5;
+  string module_code_version = 4;
+  repeated FileInfo file_infos = 5;
+  repeated Requires requires = 6;
 };

paddlehub/module/check_info_pb2.py

-#coding:utf-8
 # Generated by the protocol buffer compiler.  DO NOT EDIT!
 # source: check_info.proto
 
@@ -19,7 +18,7 @@ DESCRIPTOR = _descriptor.FileDescriptor(
     package='paddlehub.module.checkinfo',
     syntax='proto3',
     serialized_pb=_b(
-        '\n\x10\x63heck_info.proto\x12\x1apaddlehub.module.checkinfo\"\x85\x01\n\x08\x46ileInfo\x12\x11\n\tfile_name\x18\x01 \x01(\t\x12\x33\n\x04type\x18\x02 \x01(\x0e\x32%.paddlehub.module.checkinfo.FILE_TYPE\x12\x0f\n\x07is_need\x18\x03 \x01(\x08\x12\x0b\n\x03md5\x18\x04 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x05 \x01(\t\"\x84\x01\n\x08Requires\x12>\n\x0crequire_type\x18\x01 \x01(\x0e\x32(.paddlehub.module.checkinfo.REQUIRE_TYPE\x12\x0f\n\x07version\x18\x02 \x01(\t\x12\x12\n\ngreat_than\x18\x03 \x01(\x08\x12\x13\n\x0b\x64\x65scription\x18\x04 \x01(\t\"\xc8\x01\n\tCheckInfo\x12\x16\n\x0epaddle_version\x18\x01 \x01(\t\x12\x13\n\x0bhub_version\x18\x02 \x01(\t\x12\x1c\n\x14module_proto_version\x18\x03 \x01(\t\x12\x38\n\nfile_infos\x18\x04 \x03(\x0b\x32$.paddlehub.module.checkinfo.FileInfo\x12\x36\n\x08requires\x18\x05 \x03(\x0b\x32$.paddlehub.module.checkinfo.Requires*\x1e\n\tFILE_TYPE\x12\x08\n\x04\x46ILE\x10\x00\x12\x07\n\x03\x44IR\x10\x01*[\n\x0cREQUIRE_TYPE\x12\x12\n\x0ePYTHON_PACKAGE\x10\x00\x12\x0e\n\nHUB_MODULE\x10\x01\x12\n\n\x06SYSTEM\x10\x02\x12\x0b\n\x07\x43OMMAND\x10\x03\x12\x0e\n\nPY_VERSION\x10\x04\x42\x02H\x03\x62\x06proto3'
+        '\n\x10\x63heck_info.proto\x12\x1apaddlehub.module.checkinfo\"\x85\x01\n\x08\x46ileInfo\x12\x11\n\tfile_name\x18\x01 \x01(\t\x12\x33\n\x04type\x18\x02 \x01(\x0e\x32%.paddlehub.module.checkinfo.FILE_TYPE\x12\x0f\n\x07is_need\x18\x03 \x01(\x08\x12\x0b\n\x03md5\x18\x04 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x05 \x01(\t\"\x84\x01\n\x08Requires\x12>\n\x0crequire_type\x18\x01 \x01(\x0e\x32(.paddlehub.module.checkinfo.REQUIRE_TYPE\x12\x0f\n\x07version\x18\x02 \x01(\t\x12\x12\n\ngreat_than\x18\x03 \x01(\x08\x12\x13\n\x0b\x64\x65scription\x18\x04 \x01(\t\"\xe5\x01\n\tCheckInfo\x12\x16\n\x0epaddle_version\x18\x01 \x01(\t\x12\x13\n\x0bhub_version\x18\x02 \x01(\t\x12\x1c\n\x14module_proto_version\x18\x03 \x01(\t\x12\x1b\n\x13module_code_version\x18\x04 \x01(\t\x12\x38\n\nfile_infos\x18\x05 \x03(\x0b\x32$.paddlehub.module.checkinfo.FileInfo\x12\x36\n\x08requires\x18\x06 \x03(\x0b\x32$.paddlehub.module.checkinfo.Requires*\x1e\n\tFILE_TYPE\x12\x08\n\x04\x46ILE\x10\x00\x12\x07\n\x03\x44IR\x10\x01*[\n\x0cREQUIRE_TYPE\x12\x12\n\x0ePYTHON_PACKAGE\x10\x00\x12\x0e\n\nHUB_MODULE\x10\x01\x12\n\n\x06SYSTEM\x10\x02\x12\x0b\n\x07\x43OMMAND\x10\x03\x12\x0e\n\nPY_VERSION\x10\x04\x42\x02H\x03\x62\x06proto3'
     ))
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
@@ -36,8 +35,8 @@ _FILE_TYPE = _descriptor.EnumDescriptor(
     ],
     containing_type=None,
     options=None,
-    serialized_start=522,
-    serialized_end=552,
+    serialized_start=551,
+    serialized_end=581,
 )
 _sym_db.RegisterEnumDescriptor(_FILE_TYPE)
 
@@ -61,8 +60,8 @@ _REQUIRE_TYPE = _descriptor.EnumDescriptor(
     ],
     containing_type=None,
     options=None,
-    serialized_start=554,
-    serialized_end=645,
+    serialized_start=583,
+    serialized_end=674,
 )
 _sym_db.RegisterEnumDescriptor(_REQUIRE_TYPE)
 
@@ -316,10 +315,26 @@ _CHECKINFO = _descriptor.Descriptor(
             extension_scope=None,
             options=None),
         _descriptor.FieldDescriptor(
-            name='file_infos',
-            full_name='paddlehub.module.checkinfo.CheckInfo.file_infos',
+            name='module_code_version',
+            full_name='paddlehub.module.checkinfo.CheckInfo.module_code_version',
             index=3,
             number=4,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode('utf-8'),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None),
+        _descriptor.FieldDescriptor(
+            name='file_infos',
+            full_name='paddlehub.module.checkinfo.CheckInfo.file_infos',
+            index=4,
+            number=5,
             type=11,
             cpp_type=10,
             label=3,
@@ -334,8 +349,8 @@ _CHECKINFO = _descriptor.Descriptor(
         _descriptor.FieldDescriptor(
             name='requires',
             full_name='paddlehub.module.checkinfo.CheckInfo.requires',
-            index=4,
-            number=5,
+            index=5,
+            number=6,
             type=11,
             cpp_type=10,
             label=3,
@@ -357,7 +372,7 @@ _CHECKINFO = _descriptor.Descriptor(
     extension_ranges=[],
     oneofs=[],
     serialized_start=320,
-    serialized_end=520,
+    serialized_end=549,
 )
 
 _FILEINFO.fields_by_name['type'].enum_type = _FILE_TYPE

paddlehub/module/checker.py

@@ -32,20 +32,22 @@ FILE_SEP = "/"
 
 
 class ModuleChecker(object):
-    def __init__(self, module_path):
-        self.module_path = module_path
+    def __init__(self, directory):
+        self._directory = directory
+        self._pb_path = os.path.join(self.directory, CHECK_INFO_PB_FILENAME)
 
     def generate_check_info(self):
         check_info = check_info_pb2.CheckInfo()
         check_info.paddle_version = paddle.__version__
         check_info.hub_version = hub_version
         check_info.module_proto_version = module_proto_version
+        check_info.module_code_version = "v2"
         file_infos = check_info.file_infos
-        file_list = [file for file in os.listdir(self.module_path)]
+        file_list = [file for file in os.listdir(self.directory)]
         while file_list:
             file = file_list[0]
             file_list = file_list[1:]
-            abs_path = os.path.join(self.module_path, file)
+            abs_path = os.path.join(self.directory, file)
             if os.path.isdir(abs_path):
                 for sub_file in os.listdir(abs_path):
                     sub_file = os.path.join(file, sub_file)
@@ -62,9 +64,12 @@ class ModuleChecker(object):
                 file_info.type = check_info_pb2.FILE
                 file_info.is_need = True
 
-        with open(os.path.join(self.module_path, CHECK_INFO_PB_FILENAME),
-                  "wb") as fi:
-            fi.write(check_info.SerializeToString())
+        with open(self.pb_path, "wb") as file:
+            file.write(check_info.SerializeToString())
+
+    @property
+    def module_code_version(self):
+        return self.check_info.module_code_version
 
     @property
     def module_proto_version(self):
@@ -82,20 +87,25 @@ class ModuleChecker(object):
     def file_infos(self):
         return self.check_info.file_infos
 
+    @property
+    def directory(self):
+        return self._directory
+
+    @property
+    def pb_path(self):
+        return self._pb_path
+
     def check(self):
         result = True
-        self.check_info_pb_path = os.path.join(self.module_path,
-                                               CHECK_INFO_PB_FILENAME)
 
-        if not (os.path.exists(self.check_info_pb_path)
-                or os.path.isfile(self.check_info_pb_path)):
+        if not (os.path.exists(self.pb_path) or os.path.isfile(self.pb_path)):
             logger.warning(
                 "This module lacks core file %s" % CHECK_INFO_PB_FILENAME)
             result = False
 
         self.check_info = check_info_pb2.CheckInfo()
         try:
-            with open(self.check_info_pb_path, "rb") as fi:
+            with open(self.pb_path, "rb") as fi:
                 pb_string = fi.read()
                 result = self.check_info.ParseFromString(pb_string)
                 if len(pb_string) == 0 or (result is not None
@@ -182,7 +192,7 @@ class ModuleChecker(object):
         for file_info in self.file_infos:
             file_type = file_info.type
             file_path = file_info.file_name.replace(FILE_SEP, os.sep)
-            file_path = os.path.join(self.module_path, file_path)
+            file_path = os.path.join(self.directory, file_path)
             if not os.path.exists(file_path):
                 if file_info.is_need:
                     logger.warning(

paddlehub/module/manager.py

@@ -19,7 +19,9 @@ from __future__ import print_function
 
 import os
 import shutil
+
 from functools import cmp_to_key
+import tarfile
 
 from paddlehub.common import utils
 from paddlehub.common import srv_utils
@@ -79,10 +81,15 @@ class LocalModuleManager(object):
         return self.modules_dict.get(module_name, None)
 
     def install_module(self,
-                       module_name,
+                       module_name=None,
+                       module_dir=None,
+                       module_package=None,
                        module_version=None,
                        upgrade=False,
                        extra=None):
+        md5_value = installed_module_version = None
+        from_user_dir = True if module_dir else False
+        if module_name:
             self.all_modules(update=True)
             module_info = self.modules_dict.get(module_name, None)
             if module_info:
@@ -95,6 +102,62 @@ class LocalModuleManager(object):
                                                                   module_dir)
                     return True, tips, self.modules_dict[module_name]
 
+            search_result = hub.default_hub_server.get_module_url(
+                module_name, version=module_version, extra=extra)
+            name = search_result.get('name', None)
+            url = search_result.get('url', None)
+            md5_value = search_result.get('md5', None)
+            installed_module_version = search_result.get('version', None)
+            if not url or (module_version is not None
+                           and installed_module_version != module_version) or (
+                               name != module_name):
+                if default_hub_server._server_check() is False:
+                    tips = "Request Hub-Server unsuccessfully, please check your network."
+                else:
+                    tips = "Can't find module %s" % module_name
+                    if module_version:
+                        tips += " with version %s" % module_version
+                    module_tag = module_name if not module_version else '%s-%s' % (
+                        module_name, module_version)
+                return False, tips, None
+
+            result, tips, module_zip_file = default_downloader.download_file(
+                url=url,
+                save_path=hub.CACHE_HOME,
+                save_name=module_name,
+                replace=True,
+                print_progress=True)
+            result, tips, module_dir = default_downloader.uncompress(
+                file=module_zip_file,
+                dirname=MODULE_HOME,
+                delete_file=True,
+                print_progress=True)
+
+        if module_package:
+            with tarfile.open(module_package, "r:gz") as tar:
+                file_names = tar.getnames()
+                size = len(file_names) - 1
+                module_dir = os.path.split(file_names[0])[0]
+                module_dir = os.path.join(hub.CACHE_HOME, module_dir)
+                # remove cache
+                if os.path.exists(module_dir):
+                    shutil.rmtree(module_dir)
+                for index, file_name in enumerate(file_names):
+                    tar.extract(file_name, hub.CACHE_HOME)
+
+        if module_dir:
+            if not module_name:
+                module_name = hub.Module(directory=module_dir).name
+            self.all_modules(update=False)
+            module_info = self.modules_dict.get(module_name, None)
+            if module_info:
+                module_dir = self.modules_dict[module_name][0]
+                module_tag = module_name if not module_version else '%s-%s' % (
+                    module_name, module_version)
+                tips = "Module %s already installed in %s" % (module_tag,
+                                                              module_dir)
+                return True, tips, self.modules_dict[module_name]
+
         search_result = hub.default_hub_server.get_module_url(
             module_name, version=module_version, extra=extra)
         name = search_result.get('name', None)
@@ -162,9 +225,18 @@ class LocalModuleManager(object):
             with open(os.path.join(MODULE_HOME, module_dir, "md5.txt"),
                       "w") as fp:
                 fp.write(md5_value)
+            if md5_value:
+                with open(
+                        os.path.join(MODULE_HOME, module_dir, "md5.txt"),
+                        "w") as fp:
+                    fp.write(md5_value)
+
             save_path = os.path.join(MODULE_HOME, module_name)
             if os.path.exists(save_path):
-                shutil.rmtree(save_path)
+                shutil.move(save_path)
+            if from_user_dir:
+                shutil.copytree(module_dir, save_path)
+            else:
                 shutil.move(module_dir, save_path)
             module_dir = save_path
             tips = "Successfully installed %s" % module_name

paddlehub/serving/bert_serving/bert_service.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 
 import sys
-import time
 import paddlehub as hub
 import ujson
 import random
@@ -30,7 +29,7 @@ if is_py3:
     import http.client as httplib
 
 
-class BertService():
+class BertService(object):
     def __init__(self,
                  profile=False,
                  max_seq_len=128,
@@ -42,7 +41,7 @@ class BertService():
                  load_balance='round_robin'):
         self.process_id = process_id
         self.reader_flag = False
-        self.batch_size = 16
+        self.batch_size = 0
         self.max_seq_len = max_seq_len
         self.profile = profile
         self.model_name = model_name
@@ -55,15 +54,6 @@ class BertService():
         self.feed_var_names = ''
         self.retry = retry
 
-    def connect(self, server='127.0.0.1:8010'):
-        self.server_list.append(server)
-
-    def connect_all_server(self, server_list):
-        for server_str in server_list:
-            self.server_list.append(server_str)
-
-    def data_convert(self, text):
-        if self.reader_flag == False:
         module = hub.Module(name=self.model_name)
         inputs, outputs, program = module.context(
             trainable=True, max_seq_len=self.max_seq_len)
@@ -79,10 +69,14 @@ class BertService():
             do_lower_case=self.do_lower_case)
         self.reader_flag = True
 
-        return self.reader.data_generator(
-            batch_size=self.batch_size, phase='predict', data=text)
+    def add_server(self, server='127.0.0.1:8010'):
+        self.server_list.append(server)
 
-    def infer(self, request_msg):
+    def add_server_list(self, server_list):
+        for server_str in server_list:
+            self.server_list.append(server_str)
+
+    def request_server(self, request_msg):
         if self.load_balance == 'round_robin':
             try:
                 cur_con = httplib.HTTPConnection(
@@ -157,17 +151,13 @@ class BertService():
                         self.server_list)
                     return 'retry'
 
-    def encode(self, text):
-        if type(text) != list:
-            raise TypeError('Only support list')
+    def prepare_data(self, text):
         self.batch_size = len(text)
-        data_generator = self.data_convert(text)
-        start = time.time()
-        request_time = 0
-        result = []
+        data_generator = self.reader.data_generator(
+            batch_size=self.batch_size, phase='predict', data=text)
+        request_msg = ""
         for run_step, batch in enumerate(data_generator(), start=1):
             request = []
-            copy_start = time.time()
             token_list = batch[0][0].reshape(-1).tolist()
             pos_list = batch[0][1].reshape(-1).tolist()
             sent_list = batch[0][2].reshape(-1).tolist()
@@ -184,54 +174,34 @@ class BertService():
                     si + 1) * self.max_seq_len]
                 request.append(instance_dict)
 
-            copy_time = time.time() - copy_start
             request = {"instances": request}
             request["max_seq_len"] = self.max_seq_len
             request["feed_var_names"] = self.feed_var_names
             request_msg = ujson.dumps(request)
             if self.show_ids:
                 logger.info(request_msg)
-            request_start = time.time()
-            response_msg = self.infer(request_msg)
+
+        return request_msg
+
+    def encode(self, text):
+        if type(text) != list:
+            raise TypeError('Only support list')
+        request_msg = self.prepare_data(text)
+
+        response_msg = self.request_server(request_msg)
         retry = 0
         while type(response_msg) == str and response_msg == 'retry':
             if retry < self.retry:
                 retry += 1
                 logger.info('Try to connect another servers')
-                    response_msg = self.infer(request_msg)
+                response_msg = self.request_server(request_msg)
             else:
-                    logger.error('Infer failed after {} times retry'.format(
+                logger.error('Request failed after {} times retry'.format(
                     self.retry))
                 break
+        result = []
         for msg in response_msg["instances"]:
             for sample in msg["instances"]:
                 result.append(sample["values"])
 
-            request_time += time.time() - request_start
-        total_time = time.time() - start
-        if self.profile:
-            return [
-                total_time, request_time, response_msg['op_time'],
-                response_msg['infer_time'], copy_time
-            ]
-        else:
-            return result
-
-
-def connect(input_text,
-            model_name,
-            max_seq_len=128,
-            show_ids=False,
-            do_lower_case=True,
-            server="127.0.0.1:8866",
-            retry=3):
-    # format of input_text like [["As long as"],]
-    bc = BertService(
-        max_seq_len=max_seq_len,
-        model_name=model_name,
-        show_ids=show_ids,
-        do_lower_case=do_lower_case,
-        retry=retry)
-    bc.connect(server)
-    result = bc.encode(input_text)
         return result

paddlehub/serving/bert_serving/bs_client.py

+from paddlehub.serving.bert_serving import bert_service
+
+
+class BSClient(object):
+    def __init__(self,
+                 module_name,
+                 server,
+                 max_seq_len=20,
+                 show_ids=False,
+                 do_lower_case=True,
+                 retry=3):
+        self.bs = bert_service.BertService(
+            model_name=module_name,
+            max_seq_len=max_seq_len,
+            show_ids=show_ids,
+            do_lower_case=do_lower_case,
+            retry=retry)
+        self.bs.add_server(server=server)
+
+    def get_result(self, input_text):
+        return self.bs.encode(input_text)