未验证 提交 28f6506d 编写于 作者: H huzhiqiang 提交者: GitHub

【doc and opt tool】add auto_transform.sh into Paddle-Lite project and modify...

【doc and opt tool】add auto_transform.sh into Paddle-Lite project and modify related docs #2973 (#2974)
上级 2b8d2bd7
......@@ -130,14 +130,14 @@ opt可以统计并打印出model中的算子信息、判断Paddle-Lite是否支
**背景**:如果想用Paddle-Lite运行第三方来源(tensorflow、caffe、onnx)模型,一般需要经过两次转化。即使用x2paddle工具将第三方模型转化为PaddlePaddle格式,再使用opt将PaddlePaddle模型转化为Padde-Lite可支持格式。
为了简化这一过程,我们提供一键脚本,将x2paddle转化和opt转化合并:
**一键转化脚本**[auto_transform.sh](https://paddlelite-data.bj.bcebos.com/model_optimize_tool/auto_transform.sh)
**一键转化脚本**[auto_transform.sh](https://github.com/PaddlePaddle/Paddle-Lite/blob/release/v2.3/lite/tools/auto_transform.sh)
**环境要求**:使用`auto_transform.sh`脚本转化第三方模型时,需要先安装x2paddle环境,请参考[x2paddle环境安装方法](https://github.com/PaddlePaddle/X2Paddle#环境依赖) 安装x2paddle和其环境依赖项
**环境要求**:使用`auto_transform.sh`脚本转化第三方模型时,需要先安装x2paddle环境,请参考[x2paddle环境安装方法](https://github.com/PaddlePaddle/X2Paddle#环境依赖) 安装x2paddle和x2paddle依赖项(tensorflow、caffe等)
**使用方法**
(1)打印帮助帮助信息:` ./auto_transform.sh`
(1)打印帮助帮助信息:` sh ./auto_transform.sh`
(2)转化模型方法
......@@ -147,7 +147,7 @@ USAGE:
tranform model from tensorflow/caffe/onnx form into paddle-lite naive-buffer form.
----------------------------------------
example:
./auto_transform.sh --framework=tensorflow --model=tf_model.pb --optimize_out=opt_model_result
sh ./auto_transform.sh --framework=tensorflow --model=tf_model.pb --optimize_out=opt_model_result
----------------------------------------
Arguments about x2paddle:
--framework=(tensorflow|caffe|onnx);
......
#!/usr/bin/env bash
# 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.
# ==============================================================================
#set -u # Check for undefined variables
# Global variables
###########################################
# (1) x2paddle variables
framework="caffe" # framework=(caffe|tensorflow|onnx)
prototxt=""
weight=""
model=""
# fluid_save__dir: the path of x2paddlei's output result; this is used as `model_dir` of opt
fluid_save_dir="saved_fluid"
###########################################
# (2)opt variables
valid_targets="arm" # valid_targets=(arm|opencl|x86|npu|xpu)
optimize_out="lite_opt_dir"
# check current system
system=`uname -s`
opt=""
if [ ${system} == "Darwin" ]; then
opt=opt_mac
else
opt=opt
fi
function check_x2paddle {
message=$(which x2paddle)
if [ ! $message ]; then
echo "please install x2paddle environment first, you can install it according to https://github.com/PaddlePaddle/X2Paddle#%E7%8E%AF%E5%A2%83%E4%BE%9D%E8%B5%96"
exit 1
fi
}
function check_model_optimize_tool {
has_opt=$(find $opt)
if [ -z "$has_opt" ]; then
wget https://paddlelite-data.bj.bcebos.com/model_optimize_tool/$opt
chmod +x $opt
fi
}
function x2paddle_transform {
check_x2paddle
x2paddle
if [ "$framework" == "caffe" ]; then
x2paddle --framework caffe \
--prototxt=$prototxt \
--weight=$weight \
--save_dir=$fluid_save_dir
elif [ "$framework" == "tensorflow" ]; then
x2paddle --framework=tensorflow \
--model=$model \
--save_dir=$fluid_save_dir
elif [ "$framework" == "onnx" ]; then
x2paddle --framework=onnx \
--model=$model \
--save_dir=$fluid_save_dir
else
echo "error: unsupported framwork, x2paddle supports three framework: caffe、tensorflow and onnx."
exit 1
fi
}
function model_optimimize_tool_transform {
check_model_optimize_tool
./$opt \
--model_dir=$fluid_save_dir/inference_model \
--optimize_out_type=naive_buffer \
--optimize_out=$optimize_out \
--valid_targets=$valid_targets
}
function print_usage {
set +x
echo "\nUSAGE:"
echo " auto_build.sh combines the function of x2paddle and opt, it can "
echo " tranform model from tensorflow/caffe/onnx form into paddle-lite naive-buffer form."
echo "----------------------------------------"
echo "example:"
echo " ./auto_build.sh --framework=tensorflow --model=tf_model.pb --optimize_out=opt_model_result"
echo "----------------------------------------"
echo "Arguments about x2paddle:"
echo " --framework=(tensorflow|caffe|onnx);"
echo " --model='model file for tensorflow or onnx';"
echo " --prototxt='proto file for caffe' --weight='weight file for caffe'"
echo "For TensorFlow:"
echo " --framework=tensorflow --model=tf_model.pb"
echo
echo "For Caffe:"
echo " --framework=caffe --prototxt=deploy.prototxt --weight=deploy.caffemodel"
echo
echo "For ONNX"
echo " --framework=onnx --model=onnx_model.onnx"
echo
echo "Arguments about opt:"
echo " --valid_targets=(arm|opencl|x86|npu|xpu); valid targets on Paddle-Lite."
echo " --fluid_save_dir='path to outputed model after x2paddle'"
echo " --optimize_out='path to outputed Paddle-Lite model'"
echo "----------------------------------------"
echo
}
function main {
# Parse command line.
if [ $# -eq 0 ] ; then
print_usage
exit 1
fi
for i in "$@"; do
case $i in
--framework=*)
framework="${i#*=}"
shift
;;
--prototxt=*)
prototxt="${i#*=}"
shift
;;
--weight=*)
weight="${i#*=}"
shift
;;
--model=*)
model="${i#*=}"
shift
;;
--fluid_save_dir=*)
fluid_save_dir="${i#*=}"
shift
;;
--valid_targets=*)
valid_targets="${i#*=}"
shift
;;
--optimize_out=*)
optimize_out="${i#*=}"
shift
;;
*)
# unknown option
print_usage
exit 1
;;
esac
done
x2paddle_transform
model_optimimize_tool_transform
}
main $@
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