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82 lines
2.5 KiB
Python
82 lines
2.5 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 temp_ids from file"""
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import os
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import struct
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import numpy as np
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def deserialize_from_file(fp):
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"""
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deserialize from file
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"""
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# shape
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# dims = fp.read(8)
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# dims_out = struct.unpack("l",dims)[0]
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# shape_list = []
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# for i in range(dims_out):
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# shape = fp.read(8)
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# shape_out = struct.unpack("l",shape)[0]
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# shape_list.append(shape_out)
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# finished_flag = fp.read(1)
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# finished_flag_out = struct.unpack("c", finished_flag)[0]
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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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# data_arr = np.reshape(data_arr, tuple(shape_list))
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return data_arr
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if __name__ == "__main__":
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try:
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target = "/root/paddlejob/workspace/env_run/ernie-bot-sft/real_time_save.temp_ids_rank_0_step_1"
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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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