From 47999c4268c9ab3b97fbd171e25e61b005ce8a0e Mon Sep 17 00:00:00 2001
From: Yan Xu <yanxu05@baidu.com>
Date: Tue, 19 Feb 2019 14:25:07 +0800
Subject: [PATCH] cherry pick: multiple process launch utily test=release/1.3
 (#15741)

---
 python/paddle/__init__.py                     |  1 +
 python/paddle/distributed/__init__.py         | 13 +++++++
 .../paddle/distributed/launch.py              | 38 +++++++++++--------
 python/paddle/fluid/__init__.py               |  1 -
 python/setup.py.in                            |  1 +
 5 files changed, 37 insertions(+), 17 deletions(-)
 create mode 100644 python/paddle/distributed/__init__.py
 rename tools/run_mp.py => python/paddle/distributed/launch.py (83%)

diff --git a/python/paddle/__init__.py b/python/paddle/__init__.py
index 53746afdb2..fe2ae67ec6 100644
--- a/python/paddle/__init__.py
+++ b/python/paddle/__init__.py
@@ -25,4 +25,5 @@ import paddle.reader
 import paddle.dataset
 import paddle.batch
 import paddle.compat
+import paddle.distributed
 batch = batch.batch
diff --git a/python/paddle/distributed/__init__.py b/python/paddle/distributed/__init__.py
new file mode 100644
index 0000000000..d0c32e2609
--- /dev/null
+++ b/python/paddle/distributed/__init__.py
@@ -0,0 +1,13 @@
+# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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.
diff --git a/tools/run_mp.py b/python/paddle/distributed/launch.py
similarity index 83%
rename from tools/run_mp.py
rename to python/paddle/distributed/launch.py
index 2485400ab8..03c4078775 100644
--- a/tools/run_mp.py
+++ b/python/paddle/distributed/launch.py
@@ -37,7 +37,7 @@ default_envs = {
 GPUS = 8
 
 
-def start_procs(gpus, cmd, log_dir):
+def start_procs(gpus, entrypoint, entrypoint_args, log_dir):
     procs = []
     log_fns = []
     os.system("mkdir -p %s" % log_dir)
@@ -73,12 +73,11 @@ def start_procs(gpus, cmd, log_dir):
             "PADDLE_TRAINER_ENDPOINTS": all_nodes_devices_endpoints
         })
 
-        print("starting process ", i, cmd, curr_env)
+        print("starting process ", i, entrypoint, entrypoint_args, curr_env)
         fn = open("%s/workerlog.%d" % (log_dir, i), "w")
         log_fns.append(fn)
-        procs.append(
-            subprocess.Popen(
-                cmd.strip().split(" "), stdout=fn, stderr=fn, env=curr_env))
+        cmd = [sys.executable, "-u", entrypoint] + entrypoint_args
+        procs.append(subprocess.Popen(cmd, stdout=fn, stderr=fn, env=curr_env))
 
     for i in range(gpus):
         try:
@@ -89,7 +88,8 @@ def start_procs(gpus, cmd, log_dir):
             pass
 
 
-def main():
+def parse_args():
+
     parser = argparse.ArgumentParser(
         description='''start paddle training using multi-process mode.
 NOTE: your train program ***must*** run as distributed nccl2 mode,
@@ -108,21 +108,27 @@ POD_IP (current node ip address, not needed for local training)
         type=int,
         default=8,
         help='start number of processes for every gpu')
-    parser.add_argument(
-        '--cmd',
-        type=str,
-        default="",
-        help='command to run for each process, e.g. python train.py --lr 0.1')
     parser.add_argument(
         '--log_dir',
         type=str,
         default="mylog",
         help='directory to put logs per process.')
-    args = parser.parse_args()
-    if args.cmd == "":
-        parser.print_help()
-        exit(0)
-    start_procs(args.gpus, args.cmd, args.log_dir)
+    parser.add_argument(
+        'entrypoint_script',
+        type=str,
+        help="The entrypoint script to be launched in parallel,"
+        "followed by all the arguments for each process,"
+        "e.g. train.py --lr 0.1")
+    parser.add_argument('entrypoint_args', nargs=argparse.REMAINDER)
+    return parser.parse_args()
+
+
+def main():
+    args = parse_args()
+
+    # launch multiple training process
+    start_procs(args.gpus, args.entrypoint_script, args.entrypoint_args,
+                args.log_dir)
 
 
 if __name__ == "__main__":
diff --git a/python/paddle/fluid/__init__.py b/python/paddle/fluid/__init__.py
index 396f36e188..aa1f85734d 100644
--- a/python/paddle/fluid/__init__.py
+++ b/python/paddle/fluid/__init__.py
@@ -161,7 +161,6 @@ def __bootstrap__():
             'times_excess_than_required_tmp_allocation',
             'enable_inplace_whitelist'
         ]
-
     core.init_gflags([sys.argv[0]] +
                      ["--tryfromenv=" + ",".join(read_env_flags)])
     core.init_glog(sys.argv[0])
diff --git a/python/setup.py.in b/python/setup.py.in
index f93f0cd130..a7c1e91f9c 100644
--- a/python/setup.py.in
+++ b/python/setup.py.in
@@ -100,6 +100,7 @@ packages=['paddle',
           'paddle.utils',
           'paddle.dataset',
           'paddle.reader',
+          'paddle.distributed',
           'paddle.fluid',
           'paddle.fluid.imperative',
           'paddle.fluid.proto',
-- 
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