Dropout for sparse tensors.
(x, keep_prob, noise_shape)
| 60 | |
| 61 | |
| 62 | def sparse_dropout(x, keep_prob, noise_shape): |
| 63 | """Dropout for sparse tensors.""" |
| 64 | random_tensor = keep_prob |
| 65 | random_tensor += tf.random_uniform(noise_shape) |
| 66 | dropout_mask = tf.cast(tf.floor(random_tensor), dtype=tf.bool) |
| 67 | pre_out = tf.sparse_retain(x, dropout_mask) |
| 68 | return pre_out * (1./keep_prob) |
| 69 | |
| 70 | |
| 71 | def dot(x, y, sparse=False): |