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tree.state = self.node_forward(inputs[tree.idx], child_c, child_h)
len(inputs) == 54 tree.idx == 54
treelstm.pytorch/treelstm/dataset.py
Line 70 in 228a314
more informations inputs[tree.idx] tensor([[ 3.7410e-02, 5.7619e-02, 3.3822e-01, ..., -3.5774e-02, -7.8579e-02, 1.0644e-02], [-2.5287e-02, -2.5835e-01, -7.5715e-02, ..., 1.2864e-01, 1.3856e-01, 3.3581e-01], [-5.4430e-02, -1.6442e-01, -6.7605e-02, ..., 1.7388e-01, -3.9886e-01, -1.3006e-02], ..., [-2.5433e-02, -8.0709e-02, 6.2163e-01, ..., 2.7345e-01, -5.6782e-02, 1.8956e-01], [-2.4587e-01, 8.9087e-03, -1.5240e-03, ..., -3.2474e-01, 1.1630e-02, -1.3252e-01], [ 4.9405e-04, -3.5795e-01, -2.2226e-01, ..., -9.1428e-02, 2.2649e-01, -2.0806e-01]], device='cuda:0', grad_fn=<EmbeddingBackward>) Traceback (most recent call last): File "main.py", line 185, in <module> main() File "main.py", line 155, in main train_loss = trainer.train(train_dataset) File "/home/qingdujun/public/runtime/models/treelstm.pytorch/treelstm/trainer.py", line 29, in train output = self.model(linput, rtree, rinput) File "/home/qingdujun/Applications/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__ result = self.forward(*input, **kwargs) File "/home/qingdujun/public/runtime/models/treelstm.pytorch/treelstm/model.py", line 90, in forward rstate, rhidden = self.childsumtreelstm(rtree, rinputs) File "/home/qingdujun/Applications/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__ result = self.forward(*input, **kwargs) File "/home/qingdujun/public/runtime/models/treelstm.pytorch/treelstm/model.py", line 38, in forward self.forward(tree.children[idx], inputs) File "/home/qingdujun/public/runtime/models/treelstm.pytorch/treelstm/model.py", line 38, in forward self.forward(tree.children[idx], inputs) File "/home/qingdujun/public/runtime/models/treelstm.pytorch/treelstm/model.py", line 38, in forward self.forward(tree.children[idx], inputs) [Previous line repeated 10 more times] File "/home/qingdujun/public/runtime/models/treelstm.pytorch/treelstm/model.py", line 48, in forward tree.state = self.node_forward(inputs[tree.idx], child_c, child_h) IndexError: index 54 is out of bounds for dimension 0 with size 54
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len(inputs) == 54
tree.idx == 54
treelstm.pytorch/treelstm/dataset.py
Line 70 in 228a314
The text was updated successfully, but these errors were encountered: