forked from mindspore-Ecosystem/mindspore
fix data_path conflict
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@ -26,8 +26,8 @@ momentum: 0.9
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weight_decay: 0.0001
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image_height: 227
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image_width: 227
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train_data_dir: './dataset/imagenet_original/train/'
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val_data_dir: './dataset/imagenet_original/val/'
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train_data_dir: './data/cifar10_train/'
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val_data_dir: './data/cifar10_val/'
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keep_checkpoint_max: 1
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checkpoint_path: './scripts/train_parallel4/ckpt_4/train_tinydarknet_imagenet-300_1251.ckpt'
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onnx_filename: 'tinydarknet.onnx'
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@ -53,5 +53,5 @@ cp ./*.yaml ./train_cpu
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echo "start training for device CPU"
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cd ./train_cpu || exit
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env > env.log
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python train.py --device_target=CPU --data_path=$PATH1 --dataset_name=$2 --config_path=$CONFIG_FILE --lr_init=0.01> ./train.log 2>&1 &
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python train.py --device_target=CPU --train_data_dir=$PATH1 --dataset_name=$2 --config_path=$CONFIG_FILE> ./train.log 2>&1 &
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cd ..
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@ -121,9 +121,9 @@ def modelarts_pre_process():
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@moxing_wrapper(pre_process=modelarts_pre_process)
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def run_train():
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if config.dataset_name == "imagenet":
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dataset = create_dataset_imagenet(config.data_path, 1)
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dataset = create_dataset_imagenet(config.train_data_dir, 1)
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elif config.dataset_name == "cifar10":
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dataset = create_dataset_cifar(dataset_path=config.data_path,
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dataset = create_dataset_cifar(dataset_path=config.train_data_dir,
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do_train=True,
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repeat_num=1,
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batch_size=config.batch_size,
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