Created
November 29, 2018 19:03
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Use encoder part from Tensor2Tensor transformer
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| from tensor2tensor.models import transformer | |
| import tensorflow as tf | |
| hparams = transformer.transformer_base() | |
| encoder = transformer.TransformerEncoder(hparams, mode=tf.estimator.ModeKeys.TRAIN) | |
| #x = <your inputs, which should be of shape [batch_size, timesteps, 1, hparams.hidden_dim]> | |
| #y = encoder({"inputs": x}) | |
| # model_fn_body(features) |
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