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License: MIT License
Another implementation of the paper "Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs" in pytorch.
License: MIT License
if x_mask is None:
if self.self_attention_type.startswith('causal'):
x_mask = TriangularCausalMask(x.size(1), device=x.device)
else:
x_mask = FullMask(x.size(1), device=x.device)
I thought TriangularCausalMask should be used when training a music generation model, but the self attention type in the example config is "linear". Should I add 'causal' before it?
Hello, thank you for your work. When I train my model for inference, if the parameter max_len in model.generate() is set to greater than 30, the following error will be reported. How to deal with this problem?
Traceback (most recent call last):
File "MIDI-Transformer-main/examples/infer.py", line 86, in
seq = MusicRepr.from_cp(gen)
File "/home/anaconda3/lib/python3.7/site-packages/deepnote/repr.py", line 176, in from_cp
res += utils.sort_bar_beats(bar)
File "/home/anaconda3/lib/python3.7/site-packages/deepnote/utils.py", line 25, in sort_bar_beats
poses[prev_pos] += [e]
KeyError: None
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