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support for stop_gradient? #2

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support for stop_gradient? #2

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4 changes: 3 additions & 1 deletion agc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,10 +34,12 @@ def adaptive_clip_grad(parameters, gradients, clip_factor=0.01,
eps=1e-3):
new_grads = []
for (params, grads) in zip(parameters, gradients):
if grads is None:
continue
p_norm = unitwise_norm(params)
max_norm = tf.math.maximum(p_norm, eps) * clip_factor
grad_norm = unitwise_norm(grads)
clipped_grad = grads * (max_norm / tf.math.maximum(grad_norm, 1e-6))
new_grad = tf.where(grad_norm < max_norm, grads, clipped_grad)
new_grads.append(new_grad)
return new_grads
return new_grads