for debug for DEBUG for DEBUG for DEBUG for DEBUG for well performance for pylint for te chip for pylint for pylint nthpull/1481/head
z00478463
6 years ago
parent
bdb00c5624
commit
3f38b1a00e
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# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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"""
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eval.
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"""
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import os
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import argparse
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from dataset_imagenet import create_dataset
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from config import config
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from mindspore import context
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from mindspore.model_zoo.resnet import resnet50
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from mindspore.train.model import Model
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from mindspore.train.serialization import load_checkpoint, load_param_into_net
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from crossentropy import CrossEntropy
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parser = argparse.ArgumentParser(description='Image classification')
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parser.add_argument('--run_distribute', type=bool, default=False, help='Run distribute')
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parser.add_argument('--device_num', type=int, default=1, help='Device num.')
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parser.add_argument('--do_train', type=bool, default=False, help='Do train or not.')
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parser.add_argument('--do_eval', type=bool, default=True, help='Do eval or not.')
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parser.add_argument('--checkpoint_path', type=str, default=None, help='Checkpoint file path')
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parser.add_argument('--dataset_path', type=str, default=None, help='Dataset path')
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args_opt = parser.parse_args()
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device_id = int(os.getenv('DEVICE_ID'))
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", save_graphs=False)
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context.set_context(device_id=device_id)
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if __name__ == '__main__':
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net = resnet50(class_num=config.class_num)
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if not config.label_smooth:
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config.label_smooth_factor = 0.0
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loss = CrossEntropy(smooth_factor=config.label_smooth_factor, num_classes=config.class_num)
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if args_opt.do_eval:
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dataset = create_dataset(dataset_path=args_opt.dataset_path, do_train=False, batch_size=config.batch_size)
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step_size = dataset.get_dataset_size()
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if args_opt.checkpoint_path:
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param_dict = load_checkpoint(args_opt.checkpoint_path)
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load_param_into_net(net, param_dict)
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net.set_train(False)
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model = Model(net, loss_fn=loss, metrics={'acc'})
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res = model.eval(dataset)
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print("result:", res, "ckpt=", args_opt.checkpoint_path)
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@ -0,0 +1,64 @@
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#!/bin/bash
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# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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if [ $# != 2 ]
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then
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echo "Usage: sh run_infer.sh [DATASET_PATH] [CHECKPOINT_PATH]"
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exit 1
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fi
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get_real_path(){
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if [ "${1:0:1}" == "/" ]; then
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echo "$1"
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else
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echo "$(realpath -m $PWD/$1)"
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fi
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}
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PATH1=$(get_real_path $1)
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PATH2=$(get_real_path $2)
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if [ ! -d $PATH1 ]
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then
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echo "error: DATASET_PATH=$1 is not a directory"
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exit 1
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fi
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if [ ! -f $PATH2 ]
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then
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echo "error: CHECKPOINT_PATH=$2 is not a file"
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exit 1
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fi
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ulimit -u unlimited
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export DEVICE_NUM=1
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export DEVICE_ID=0
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export RANK_SIZE=$DEVICE_NUM
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export RANK_ID=0
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if [ -d "infer" ];
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then
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rm -rf ./infer
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fi
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mkdir ./infer
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cp *.py ./infer
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cp *.sh ./infer
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cd ./infer || exit
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env > env.log
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echo "start infering for device $DEVICE_ID"
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python eval.py --do_eval=True --dataset_path=$PATH1 --checkpoint_path=$PATH2 &> log &
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cd ..
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