TypeError: on __init()__ missing require positional argument: out_features

[liperrino]

python3 train.py -model_path models -data_path models/preprocess-train.t7 Namespace(batch_size=128, d_ff=2048, d_k=64, d_model=512, d_v=64, data_path='models/preprocess-train.t7', display_freq=100, dropout=0.1, log=None, lr=0.0002, max_epochs=10, max_grad_norm=None, max_src_seq_len=50, max_tgt_seq_len=50, model_path='models', n_heads=8, n_layers=6, n_warmup_steps=4000, share_embs_weight=False, share_proj_weight=False, weighted_model=False) Loading training and development data.. Creating new model parameters.. Traceback (most recent call last): File "train.py", line 200, in main(opt) File "train.py", line 47, in main model, model_state = create_model(opt) File "train.py", line 27, in create_model model = Transformer(opt) # Initialize a model state. File "/media/vivien/A/NEW-SMT/transformer-new-master/transformer/models.py", line 110, in init opt.max_src_seq_len, opt.src_vocab_size, opt.dropout, opt.weighted_model) File "/media/vivien/A/NEW-SMT/transformer-new-master/transformer/models.py", line 54, in init [self.layer_type(d_k, d_v, d_model, d_ff, n_heads, dropout) for _ in range(n_layers)]) File "/media/vivien/A/NEW-SMT/transformer-new-master/transformer/models.py", line 54, in [self.layer_type(d_k, d_v, d_model, d_ff, n_heads, dropout) for _ in range(n_layers)]) File "/media/vivien/A/NEW-SMT/transformer-new-master/transformer/layers.py", line 11, in init self.enc_self_attn = MultiHeadAttention(d_k, d_v, d_model, n_heads, dropout) File "/media/vivien/A/NEW-SMT/transformer-new-master/transformer/sublayers.py", line 53, in init self.multihead_attn = _MultiHeadAttention(d_k, d_v, d_model, n_heads, dropout) File "/media/vivien/A/NEW-SMT/transformer-new-master/transformer/sublayers.py", line 19, in init self.w_q = Linear([d_model, d_k * n_heads]) TypeError: init() missing 1 required positional argument: 'out_features'

[xiongshufeng]

I met the same error. I changed the parameters at the error line, but I met another error:

Traceback (most recent call last): File "/dcs/acad/u1774624/Experiment/PY-IM-MultiHeadAttention/train.py", line 209, in main(opt) File "/dcs/acad/u1774624/Experiment/PY-IM-MultiHeadAttention/train.py", line 48, in main model, model_state = create_model(opt) File "/dcs/acad/u1774624/Experiment/PY-IM-MultiHeadAttention/train.py", line 27, in create_model model = Transformer(opt) # Initialize a model state. File "/dcs/acad/u1774624/Experiment/PY-IM-MultiHeadAttention/transformer/models.py", line 113, in init self.tgt_proj = Linear(opt.d_model, opt.tgt_vocab_size, bias=False) File "/dcs/acad/u1774624/Experiment/PY-IM-MultiHeadAttention/transformer/modules.py", line 13, in init init.zeros_(self.linear.bias) File "/dcs/acad/u1774624/miniconda3/lib/python3.7/site-packages/torch/nn/init.py", line 124, in zeros_ return tensor.zero_() AttributeError: 'NoneType' object has no attribute 'zero_'

[smukh93]

Found a solution for this? Getting the same error!

[tongchangD]

what is preprocess-train.t7