Decouple the program desc with batch_size in Transformer. #783
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… fix-transformer-batchsize-dev
… fix-transformer-batchsize-dev
… fix-transformer-batchsize-dev
pkuyym
reviewed
Apr 8, 2018
| @@ -273,6 +301,9 @@ def main(): | |||
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| trg_idx2word = paddle.dataset.wmt16.get_dict( | |||
| "de", dict_size=ModelHyperParams.trg_vocab_size, reverse=True) | |||
| # Append the <pad> token since the dict provided by dataset.wmt16 does | |||
| # not include it. | |||
| trg_idx2word[ModelHyperParams.trg_pad_idx] = "<pad>" | |||
| @@ -138,12 +144,14 @@ def test(exe): | |||
| test_avg_costs = [] | |||
| for batch_id, data in enumerate(val_data()): | |||
| if len(data) != TrainTaskConfig.batch_size: | |||
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Done. Refine the validation and use the global statistics.
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Decouple the program desc with batch_size in Transformer. The inference program has been validated to have the same generated sentences for different batch size.
It relies on PaddlePaddle/Paddle#9008 .