Add reader, ParallelExecutor and refine for Transformer #894
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guoshengCS
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pkuyym
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May 9, 2018
| batch_size = 32 | ||
| # the hyper parameters for Adam optimizer. | ||
| learning_rate = 0.001 | ||
| # This static learning_rate will multiply LearningRateScheduler |
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will multiply --> will be multiplied to
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| if self._sort: | ||
| self._pool.sort( | ||
| key=lambda sample: max(len(sample[0]), len(sample[1])) if len(sample) > 1 else len(sample[0]) |
| end_mark="<e>", | ||
| unk_mark="<unk>", | ||
| seed=0): | ||
| """ |
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The comments shouldn't be here.
class DataReader(object):
"""Comments for the constructor"""
| :type src_vocab_fpath: basestring | ||
| :param trg_vocab_fpath: The path of vocabulary file of target language. | ||
| :type trg_vocab_fpath: basestring | ||
| :param fpattern: The pattern to match data files. |
| or the maximum number of tokens (include paddings) contained in a | ||
| mini-batch. | ||
| :type batch_size: int | ||
| :param pool_size: The buffer size to pool data. |
| :param sort_type: The grain to sort by length: 'global' for all | ||
| instances; 'pool' for instances in pool; 'none' for no sort. | ||
| :type sort_type: basestring | ||
| :param sort_type: The grain to sort by length: 'global' for all |
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Add reader, ParallelExecutor and refine for Transformer