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76 lines
2.7 KiB
76 lines
2.7 KiB
# Copyright (c) 2016 Baidu, Inc. 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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from paddle.trainer.PyDataProvider2 import *
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UNK_IDX = 2
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START = "<s>"
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END = "<e>"
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def hook(settings, src_dict, trg_dict, file_list, **kwargs):
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# job_mode = 1: training mode
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# job_mode = 0: generating mode
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settings.job_mode = trg_dict is not None
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settings.src_dict = src_dict
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settings.logger.info("src dict len : %d" % (len(settings.src_dict)))
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settings.sample_count = 0
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if settings.job_mode:
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settings.trg_dict = trg_dict
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settings.slots = [
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integer_value_sequence(len(settings.src_dict)),
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integer_value_sequence(len(settings.trg_dict)),
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integer_value_sequence(len(settings.trg_dict))
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]
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settings.logger.info("trg dict len : %d" % (len(settings.trg_dict)))
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else:
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settings.slots = [
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integer_value_sequence(len(settings.src_dict)),
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integer_value_sequence(len(open(file_list[0], "r").readlines()))
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]
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def _get_ids(s, dictionary):
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words = s.strip().split()
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return [dictionary[START]] + \
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[dictionary.get(w, UNK_IDX) for w in words] + \
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[dictionary[END]]
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@provider(init_hook=hook, pool_size=50000)
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def process(settings, file_name):
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with open(file_name, 'r') as f:
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for line_count, line in enumerate(f):
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line_split = line.strip().split('\t')
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if settings.job_mode and len(line_split) != 2:
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continue
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src_seq = line_split[0] # one source sequence
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src_ids = _get_ids(src_seq, settings.src_dict)
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if settings.job_mode:
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trg_seq = line_split[1] # one target sequence
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trg_words = trg_seq.split()
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trg_ids = [settings.trg_dict.get(w, UNK_IDX)
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for w in trg_words]
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# remove sequence whose length > 80 in training mode
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if len(src_ids) > 80 or len(trg_ids) > 80:
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continue
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trg_ids_next = trg_ids + [settings.trg_dict[END]]
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trg_ids = [settings.trg_dict[START]] + trg_ids
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yield src_ids, trg_ids, trg_ids_next
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else:
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yield src_ids, [line_count]
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