what will the equivalent code be for
z_loss = 0.5 * tf.reduce_sum(tf.square(z_mean) + tf.exp(z_logvar) - z_logvar - 1, axis = [1,2,3])
What are the pytorch equivalent for reduce_mean and reduce_sum
Thanks
what will the equivalent code be for
z_loss = 0.5 * tf.reduce_sum(tf.square(z_mean) + tf.exp(z_logvar) - z_logvar - 1, axis = [1,2,3])
What are the pytorch equivalent for reduce_mean and reduce_sum
Thanks
torch.mean
and torch.sum
would be the replacements (or call .mean()
or .sum()
on a tensor directly).