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			70 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			70 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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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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| """read_ids"""
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| 
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| import os
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| import struct
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| 
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| import numpy as np
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| 
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| 
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| def deserialize_from_file(fp):
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|     """deserialize from file"""
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|     # dtype
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|     x_type = fp.read(1)
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|     x_type_out = struct.unpack("c", x_type)[0]
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|     # data
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|     data_list = []
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|     if x_type_out == b"0":
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|         data = fp.read(4)
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|         data_out = struct.unpack("f", data)[0]
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|         while data:
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|             data_out = struct.unpack("f", data)[0]
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|             data_list.append(data_out)
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|             data = fp.read(4)
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|     elif x_type_out == b"1":
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|         data = fp.read(8)
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|         while data:
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|             data_out = struct.unpack("l", data)[0]
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|             data_list.append(data_out)
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|             data = fp.read(8)
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|     elif x_type_out == b"2":
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|         data = fp.read(4)
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|         while data:
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|             data_out = struct.unpack("i", data)[0]
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|             data_list.append(data_out)
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|             data = fp.read(4)
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|     else:
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|         print("type error")
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|     data_arr = np.array(data_list)
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|     return data_arr
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| 
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| 
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| if __name__ == "__main__":
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|     try:
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|         target = "../real_time_save.temp_ids_rank_0_step_0"
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|         if os.path.getsize(target) > 0:
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|             while True:
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|                 fp = open(target, "rb+")
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|                 flg = fp.read(1)
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|                 if flg == b"1":
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|                     break
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|                 else:
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|                     print("waiting")
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|             data_list = deserialize_from_file(fp)
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|             print(data_list.shape)
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|             print(data_list)
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|     except EOFError:
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|         print("eof error")
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