Given a tensor t
, this operation returns a tensor of the same type and shape as t
with its values clipped to clip_value_min
and clip_value_max
. Any values less than clip_value_min
are set to clip_value_min
. Any values greater than clip_value_max
are set to clip_value_max
.
thanks. 请问pytorch中类似tensorflow的tf.gather_nd和tf.map_fn是哪个?
To add clarity to this as this appears in google searches: For clipping specifically gradients in PyTorch there are 2 useful functions:
torch.nn.utils.clip_grad_value_(model.parameters(), clip)
torch.nn.utils.clip_grad_norm_(model.parameters(), clip)
The first clamps all gradients within the range [-clip, +clip]
The second normalizes the gradients with value clip and reweights them
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