def multinomial_3d(x):
"""Samples from a multinomial distribution from 3D Tensor.
Args:
x: Tensor with shape (batch_size, timesteps, classes)
Returns:
Tensor with shape (batch_size, timesteps), sampled from `classes`.
"""
a, b = tf.shape(x)[0], tf.shape(x)[1]
x = tf.reshape(x, (a * b, -1))
m = tf.multinomial(x, 1)
return tf.reshape(m, (a, b))
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