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Loss twice multiplied with loss_coef #1627

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Jul 18, 2019
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Loss twice multiplied with loss_coef #1627

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2 changes: 1 addition & 1 deletion tensor2tensor/utils/expert_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1044,7 +1044,7 @@ def local_moe(x,
noisy_gating=True,
noise_epsilon=1e-2)
importance = tf.reduce_sum(gates, 0)
loss = loss_coef * (cv_squared(importance) + cv_squared(load))
loss = (cv_squared(importance) + cv_squared(load))
else:
assert hparams.gating_type == "vq"
tf.logging.info("Using VQ gating")
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