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Question about the shape of X_train #9

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FrankWork opened this issue Jul 2, 2018 · 1 comment
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Question about the shape of X_train #9

FrankWork opened this issue Jul 2, 2018 · 1 comment

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@FrankWork
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X_train = tf.placeholder(tf.int32, [n_batch_train, 2, n_ctx, 2])
xmb[:, :, :, 1] = np.arange(n_vocab+n_special, n_vocab+n_special+n_ctx)
why there is a channel of additional tokens?
@FrankWork
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Problem solved! This part of the xmb is used for the learned positional encoding. huggingface/pytorch-openai-transformer-lm#12 (comment)

@sharpsy sharpsy mentioned this issue Jul 18, 2018
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@FrankWork