PyTorch implementation of the position-aware attention model for relation extraction
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RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 2. Got 66 and 67 in dimension 1 at /Users/distiller/project/conda/conda-bld/pytorch_1556653464916/work/aten/src/TH/generic/THTensor.cpp:711 #10
I keep getting this error whenever I run the training script and I have no idea how to fix it. This is what the exact error looks like:
Traceback (most recent call last):
File "train.py", line 117, in
loss = model.update(batch)
File "rnn.py", line 50, in update
logits, _ = self.model(inputs)
File "/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "rnn.py", line 185, in forward
inputs = self.drop(torch.cat(inputs, dim=2)) # add dropout to input
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 2. Got 66 and 67 in dimension 1 at /Users/distiller/project/conda/conda-bld/pytorch_1556653464916/work/aten/src/TH/generic/THTensor.cpp:711
I keep getting this error whenever I run the training script and I have no idea how to fix it. This is what the exact error looks like:
Traceback (most recent call last): File "train.py", line 117, in
loss = model.update(batch)
File "rnn.py", line 50, in update
logits, _ = self.model(inputs)
File "/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "rnn.py", line 185, in forward
inputs = self.drop(torch.cat(inputs, dim=2)) # add dropout to input
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 2. Got 66 and 67 in dimension 1 at /Users/distiller/project/conda/conda-bld/pytorch_1556653464916/work/aten/src/TH/generic/THTensor.cpp:711