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
| "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>" |
| test_sum_costs = [] | ||
| 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 .