Upload layer_diff_dataset/move_file.py with huggingface_hub
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layer_diff_dataset/move_file.py
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import os
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import subprocess
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# source_directory = "/mnt/workspace/workgroup/sihui.jsh/pose_transfer_3/exp/pose_transfer"
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# target_directory = "exp/pose_transfer"
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def copy_without_folder(source_dir, target_dir, exclude_folder):
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# 确保目标目录存在
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# subprocess.run(["ossutil", "mb", target_dir], stderr=subprocess.PIPE)
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# 获取源目录中的所有文件和子文件夹
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items = os.listdir(source_dir)
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for item in items:
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source_item_path = os.path.join(source_dir, item)
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# if not os.path.isdir(source_item_path):
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# continue
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# 如果是要排除的文件夹,则跳过
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if item in exclude_folder:
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# print(f"Skipping folder: {source_item_path}")
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continue
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target_item_path = os.path.join(target_dir, item)
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print(item)
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if os.path.isdir(source_item_path):
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sub_items = os.listdir(source_item_path)
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for sub_item in sub_items:
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print(sub_item)
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sub_source_item_path = os.path.join(source_item_path, sub_item)
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sub_target_item_path = os.path.join(target_item_path, sub_item)
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# 使用 cp -r 复制目录
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print(f"Copied folder: {sub_source_item_path} to {sub_target_item_path}")
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subprocess.run(["huggingface-cli", "upload", "zjuJish/layer_diff_dataset", sub_source_item_path, sub_target_item_path], stderr=subprocess.PIPE)
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else:
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# 使用 cp -r 复制目录
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print(f"Copied folder: {source_item_path} to {target_item_path}")
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subprocess.run(["huggingface-cli", "upload", "zjuJish/layer_diff_dataset", source_item_path, target_item_path], stderr=subprocess.PIPE)
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if __name__ == "__main__":
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# source_directory = "/mnt/workspace/workgroup/sihui.jsh/codes/CogVideo"
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source_directory = "/mnt/workspace/workgroup/sihui.jsh/layer_diff_dataset"
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target_directory = "layer_diff_dataset"
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# # 打开文件并读取每行内容
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# file_path = "move_list.txt" # 替换为你的文件路径
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# lines_list = []
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# with open(file_path, 'r', encoding='utf-8') as file:
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# # 逐行读取文件并存入列表
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# lines_list = file.readlines()
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# # 去掉每行的换行符
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# exclude_folder_name = [line.strip() for line in lines_list]
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# exclude_folder_name = ["sat", "CogVideoX-2b-sat"]
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# exclude_folder_name = [".ossutil_checkpoint", "ckpts_2b", "ckpts_2b_lora", "ossutil_output"]
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exclude_folder_name = ["Transparant_dragdata_550","train"]
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copy_without_folder(source_directory, target_directory, exclude_folder_name)
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