Merge pull request #420 from BeyondYourself/develop
Common modules do not need to be executed repeatedly
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commit
06b943f91a
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@ -37,16 +37,16 @@ class TrainReader(object):
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self.process = create_module(params['process_function'])(params)
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def __call__(self, process_id):
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with open(self.label_file_path, "rb") as fin:
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label_infor_list = fin.readlines()
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img_num = len(label_infor_list)
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img_id_list = list(range(img_num))
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if sys.platform == "win32" and self.num_workers != 1:
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print("multiprocess is not fully compatible with Windows."
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"num_workers will be 1.")
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self.num_workers = 1
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def sample_iter_reader():
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with open(self.label_file_path, "rb") as fin:
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label_infor_list = fin.readlines()
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img_num = len(label_infor_list)
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img_id_list = list(range(img_num))
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random.shuffle(img_id_list)
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if sys.platform == "win32" and self.num_workers != 1:
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print("multiprocess is not fully compatible with Windows."
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"num_workers will be 1.")
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self.num_workers = 1
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for img_id in range(process_id, img_num, self.num_workers):
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label_infor = label_infor_list[img_id_list[img_id]]
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outs = self.process(label_infor)
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@ -21,7 +21,6 @@ import os
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import shutil
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import tempfile
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import paddle
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import paddle.fluid as fluid
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from .utility import initial_logger
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@ -113,14 +112,12 @@ def init_model(config, program, exe):
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path = checkpoints
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fluid.load(program, path, exe)
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logger.info("Finish initing model from {}".format(path))
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return
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pretrain_weights = config['Global'].get('pretrain_weights')
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if pretrain_weights:
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path = pretrain_weights
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load_params(exe, program, path)
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logger.info("Finish initing model from {}".format(path))
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return
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def save_model(program, model_path):
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