I defined my nn.Embedding layer as
self.word_embedding = nn.Embedding(vec.shape[0], vec.shape[1], vocab_size, max_norm = 1, norm_type = 1)

When forwarding it by self.word_embedding(input), I came across the following error

TypeError: _renorm() takes exactly 5 arguments (4 given)

Is there anything wrong with max_norm and norm_type?