Merge pull request #1011 from jacquesqiao/cluster_train

add cluster train for quick_start

demo/quick_start/api_predict.sh

@@ -17,7 +17,7 @@ set -e
 #Note the default model is pass-00002, you shold make sure the model path
 #exists or change the mode path.
 #only test on trainer_config.lr.py
-model=output/pass-00001/
+model=output/model/pass-00001/
 config=trainer_config.lr.py
 label=data/labels.list
 dict=data/dict.txt

demo/quick_start/cluster/cluster_train.sh

+#!/bin/bash
+# Copyright (c) 2016 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.
+set -e
+
+# Should run pserver.sh before run this script.
+bin_dir=$(cd `dirname $0`; pwd)
+home_dir=$(cd "${bin_dir}/.."; pwd)
+source "$bin_dir/env.sh"
+
+model_dir="$bin_dir/output"
+log_file="$bin_dir/train.log"
+
+pushd "$home_dir"
+cfg=trainer_config.lr.py
+paddle train \
+  --config=$cfg \
+  --save_dir=${model_dir} \
+  --trainer_count=4 \
+  --local=0 \
+  --log_period=100 \
+  --num_passes=15 \
+  --use_gpu=false \
+  --show_parameter_stats_period=100 \
+  --test_all_data_in_one_period=1 \
+  --num_gradient_servers=1 \
+  --nics=`get_nics` \
+  --port=7164 \
+  --ports_num=1 \
+  --pservers="127.0.0.1" \
+  --comment="paddle_trainer" \
+  2>&1 | tee "$log_file"
+popd

demo/quick_start/cluster/env.sh

+#!/bin/bash
+# Copyright (c) 2016 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.
+set -e
+
+function get_nics() {
+  machine=`uname -s`
+  local nics=""
+  if [ "$machine" == "Linux" ]; then
+    nics="lo"
+  elif [ "$machine" == "Darwin" ]; then
+    nics="lo0"
+  else
+    nics="unsupport"
+  fi
+  echo $nics
+}

demo/quick_start/cluster/pserver.sh

+#!/bin/bash
+# Copyright (c) 2016 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.
+set -e
+bin_dir=$(cd `dirname $0`; pwd)
+source "$bin_dir/env.sh"
+
+paddle pserver \
+  --nics=`get_nics` \
+  --port=7164 \
+  --ports_num=1 \
+  --ports_num_for_sparse=1 \
+  --num_gradient_servers=1 \
+  --comment="paddle_pserver" \
+  2>&1 | tee 'pserver.log'

paddle/trainer/ThreadParameterUpdater.h

@@ -33,8 +33,8 @@ namespace paddle {
    because at the current moment, the merging on CPU is happening on the
    main thread, and the its parameter size can be much larger than the one GPU.
    Thus, for GPU, the parameter updates happens in updateImpl() function, which
-   is called by gradient machines as a callback function as a callback function
-   supplied to backward() and forwardBackward().
+   is called by gradient machines as a callback function supplied to backward()
+   and forwardBackward().
    For CPU, the parameter updates happens in separate threads maintained by this
    class.
  */