Nikolaos daydreamt
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| def sample_gumbel(shape, eps=1e-20): | |
| """Sample from Gumbel(0, 1)""" | |
| U = tf.random_uniform(shape,minval=0,maxval=1) | |
| return -tf.log(-tf.log(U + eps) + eps) | |
| def gumbel_softmax_sample(logits, temperature): | |
| """ Draw a sample from the Gumbel-Softmax distribution""" | |
| y = logits + sample_gumbel(tf.shape(logits)) | |
| return tf.nn.softmax( y / temperature) |