forked from mindspore-Ecosystem/mindspore
clould
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e513786709
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@ -12,8 +12,8 @@ enable_profiling: False
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# ==============================================================================
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# ==============================================================================
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dataset_path: "/cache/data"
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dataset_path: "/cache/data"
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ckpt_path: '/cache/data/'
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ckpt_path: '/cache/data/'
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checkpoint_path: '/cache/data/inceptionv3/inceptionv3-rank3_1-247_1251.ckpt'
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checkpoint_path: './inceptionv4/inceptionv4-train-250_1251.ckpt'
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ckpt_file: '/cache/data/inceptionv3/inceptionv3-rank3_1-247_1251.ckpt'
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ckpt_file: '/cache/data/ImageNet_Original/inceptionv4/inceptionv4-train-250_1251.ckpt'
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resume: ''
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resume: ''
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is_distributed: False
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is_distributed: False
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device_id: 0
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device_id: 0
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@ -23,6 +23,10 @@ file_format: 'MINDIR'
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width: 299
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width: 299
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height: 299
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height: 299
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modelarts_dataset_unzip_name: 'ImageNet_Original'
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need_modelarts_dataset_unzip: True
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ckpt_save_dir: './ckpt/'
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# fasterrcnn_export
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# fasterrcnn_export
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result_path: '' # "result file path"
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result_path: '' # "result file path"
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label_file: '' # "label file"
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label_file: '' # "label file"
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@ -12,8 +12,8 @@ enable_profiling: False
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# ==============================================================================
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# ==============================================================================
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dataset_path: "/cache/data"
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dataset_path: "/cache/data"
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ckpt_path: '/cache/data/'
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ckpt_path: '/cache/data/'
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checkpoint: '/cache/data/inceptionv3/inceptionv3-rank3_1-247_1251.ckpt'
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checkpoint_path: './inceptionv4/inceptionv4-train-250_1251.ckpt'
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ckpt_file: '/cache/data/inceptionv3/inceptionv3-rank3_1-247_1251.ckpt'
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ckpt_file: '/cache/data/ImageNet_Original/inceptionv4/inceptionv4-train-250_1251.ckpt'
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resume: ''
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resume: ''
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is_distributed: False
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is_distributed: False
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device_id: 0
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device_id: 0
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@ -23,6 +23,10 @@ file_format: 'AIR'
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width: 299
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width: 299
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height: 299
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height: 299
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modelarts_dataset_unzip_name: 'ImageNet_Original'
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need_modelarts_dataset_unzip: True
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ckpt_save_dir: './ckpt/'
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# Training options
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# Training options
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batch_size: 128
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batch_size: 128
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epoch_size: 250
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epoch_size: 250
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@ -12,8 +12,8 @@ enable_profiling: False
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# ==============================================================================
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# ==============================================================================
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dataset_path: "/cache/data"
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dataset_path: "/cache/data"
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ckpt_path: '/cache/data/'
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ckpt_path: '/cache/data/'
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checkpoint: '/cache/data/inceptionv3/inceptionv3-rank3_1-247_1251.ckpt'
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checkpoint_path: './inceptionv4/inceptionv4-train-250_1251.ckpt'
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ckpt_file: '/cache/data/inceptionv3/inceptionv3-rank3_1-247_1251.ckpt'
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ckpt_file: '/cache/data/ImageNet_Original/inceptionv4/inceptionv4-train-250_1251.ckpt'
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resume: ''
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resume: ''
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is_distributed: False
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is_distributed: False
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device_id: 0
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device_id: 0
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@ -23,6 +23,10 @@ file_format: 'AIR'
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width: 299
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width: 299
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height: 299
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height: 299
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modelarts_dataset_unzip_name: 'ImageNet_Original'
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need_modelarts_dataset_unzip: True
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ckpt_save_dir: './ckpt/'
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# Training options
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# Training options
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is_save_on_master: False
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is_save_on_master: False
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@ -83,6 +83,7 @@ def modelarts_process():
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print('#' * 200, os.listdir(os.path.join(config.data_path, config.modelarts_dataset_unzip_name)))
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print('#' * 200, os.listdir(os.path.join(config.data_path, config.modelarts_dataset_unzip_name)))
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config.dataset_path = os.path.join(config.data_path, config.modelarts_dataset_unzip_name)
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config.dataset_path = os.path.join(config.data_path, config.modelarts_dataset_unzip_name)
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config.checkpoint_path = os.path.join(config.dataset_path, config.checkpoint_path)
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DS_DICT = {
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DS_DICT = {
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