From 13bb96b3b193c207980c02a1d4311d64c7c67b38 Mon Sep 17 00:00:00 2001 From: Yanjun Peng Date: Thu, 24 Dec 2020 21:29:04 +0800 Subject: [PATCH] add export for shufflenetv1 --- .../official/cv/shufflenetv1/README_CN.md | 3 +- model_zoo/official/cv/shufflenetv1/export.py | 51 +++++++++++++++++++ 2 files changed, 53 insertions(+), 1 deletion(-) create mode 100644 model_zoo/official/cv/shufflenetv1/export.py diff --git a/model_zoo/official/cv/shufflenetv1/README_CN.md b/model_zoo/official/cv/shufflenetv1/README_CN.md index 27aa3e8e7e..2b40ddce0d 100644 --- a/model_zoo/official/cv/shufflenetv1/README_CN.md +++ b/model_zoo/official/cv/shufflenetv1/README_CN.md @@ -67,6 +67,7 @@ ShuffleNetV1的核心部分被分成三个阶段,每个阶段重复堆积了 ├─crossentropysmooth.py # 损失函数定义 ├─lr_generator.py # 学习率生成函数 ├─train.py # 网络训练脚本 + ├─export.py # 模型格式转换脚本 └─eval.py # 网络评估脚本 ``` @@ -174,4 +175,4 @@ result:{'Loss': 2.0479587888106323, 'Top_1_Acc': 0.7385817307692307, 'Top_5_Acc' # ModelZoo -请核对官方 [主页](https://gitee.com/mindspore/mindspore/tree/master/model_zoo)。 \ No newline at end of file +请核对官方 [主页](https://gitee.com/mindspore/mindspore/tree/master/model_zoo)。 diff --git a/model_zoo/official/cv/shufflenetv1/export.py b/model_zoo/official/cv/shufflenetv1/export.py new file mode 100644 index 0000000000..93982b0fc2 --- /dev/null +++ b/model_zoo/official/cv/shufflenetv1/export.py @@ -0,0 +1,51 @@ +# Copyright 2020 Huawei Technologies Co., Ltd +# +# 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. +# ============================================================================ +""" +##############export checkpoint file into air, onnx, mindir models################# +python export.py +""" +import argparse +import numpy as np + +import mindspore as ms +from mindspore import Tensor, load_checkpoint, load_param_into_net, export, context + +from src.config import config as cfg +from src.shufflenetv1 import ShuffleNetV1 + +parser = argparse.ArgumentParser(description='ShuffleNetV1 export') +parser.add_argument("--device_id", type=int, default=0, help="device id") +parser.add_argument("--ckpt_file", type=str, required=True, help="checkpoint file path.") +parser.add_argument("--file_name", type=str, default="shufflenetv1", help="output file name.") +parser.add_argument('--file_format', type=str, choices=["AIR", "ONNX", "MINDIR"], default='AIR', help='file format') +parser.add_argument("--device_target", type=str, choices=["Ascend", "GPU", "CPU"], default="Ascend", + help="device target") +parser.add_argument('--model_size', type=str, default='2.0x', choices=['2.0x', '1.5x', '1.0x', '0.5x'], + help='shufflenetv1 model size') + +args = parser.parse_args() + +context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target, device_id=args.device_id) + +if __name__ == '__main__': + + net = ShuffleNetV1(model_size=args.model_size) + + param_dict = load_checkpoint(args.ckpt_file) + load_param_into_net(net, param_dict) + + image_height, image_width = (224, 224) + input_arr = Tensor(np.ones([cfg.batch_size, 3, image_height, image_width]), ms.float32) + export(net, input_arr, file_name=args.file_name, file_format=args.file_format)