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TypeError: stack(): argument 'tensors' (position 1) must be tuple of Tensors, not NoneType
训练时出现如下问题:
Traceback (most recent call last):
File "train.py", line 220, in <module>
main()
File "train.py", line 216, in main
train(args, cfg)
File "train.py", line 209, in train
trainer.train(trn_loader, st_step, cfg["iter"], component_objects, chars_sim_dict)
File "/app/trainer/combined_trainer.py", line 78, in train
out_1, style_components_1 = self.gen.read_decode(trg_style_ids, trg_sample_index,
File "/app/model/generator.py", line 69, in read_decode
reference_feats = self.memory.read_chars(target_style_ids, trg_sample_index, reduction=reduction)
File "/app/model/memory.py", line 90, in read_chars
sc_feat = read_char(style_id, sample_index, reduction)
File "/app/model/memory.py", line 49, in read_char
comp_feat = self.read_point(style_id, sample_index, reduction)
File "/app/model/memory.py", line 41, in read_point
return torch.stack(sc_feats)
TypeError: stack(): argument 'tensors' (position 1) must be tuple of Tensors, not NoneType