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I see in your code, just using self.net(x_spt[i], fast_weights, bn_training=True)
however the torch.autograd.grad() method contain the following parameter:
create_graph (bool, optional) – If True, graph of the derivative will be constructed, allowing to compute higher order derivative products. Default: False.
Is that means your code just calculates the 1st order derivative?
Thank you!
The text was updated successfully, but these errors were encountered:
I see in your code, just using
self.net(x_spt[i], fast_weights, bn_training=True)
however the torch.autograd.grad() method contain the following parameter:
Is that means your code just calculates the 1st order derivative?
Thank you!
The text was updated successfully, but these errors were encountered: