Train Error
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 727
- Forks
- 59
- PR merge metrics
- No merged PRs in 30d
Description
(venv) personalinfo@MacBook-Pro-3 LongNet % python3 train.py
2024-03-05 23:56:10,524 - numexpr.utils - INFO - NumExpr defaulting to 8 threads.
2024-03-05 23:56:17.908409: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
Using StableAdamWUnfused-v1
training: 0%| | 0/100000 [00:01<?, ?it/s]
Traceback (most recent call last):
File "/Users/personalinfo/LongNet/train.py", line 84, in <module>
loss = model(next(train_loader))
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/personalinfo/LongNet/long_net/model.py", line 356, in forward
logits = self.net(x_inp, **kwargs)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/personalinfo/LongNet/long_net/model.py", line 302, in forward
x = self.transformer(x)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/personalinfo/LongNet/long_net/model.py", line 271, in forward
x = block(x) + x
RuntimeError: The size of tensor a (4128) must match the size of tensor b (8196) at non-singleton dimension 1
(venv) personalinfo@MacBook-Pro-3 LongNet % python3 train.py
2024-03-06 00:09:22,364 - numexpr.utils - INFO - NumExpr defaulting to 8 threads.
2024-03-06 00:09:27.673362: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
Using StableAdamWUnfused-v1
training: 0%| | 0/100000 [00:01<?, ?it/s]
Traceback (most recent call last):
File "/Users/personalinfo/LongNet/train.py", line 84, in <module>
loss = model(next(train_loader))
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/personalinfo/LongNet/long_net/model.py", line 356, in forward
logits = self.net(x_inp, **kwargs)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/personalinfo/LongNet/long_net/model.py", line 302, in forward
x = self.transformer(x)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/Users/personalinfo/LongNet/venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/personalinfo/LongNet/long_net/model.py", line 271, in forward
x = block(x) + x
RuntimeError: The size of tensor a (4128) must match the size of tensor b (8196) at non-singleton dimension 1
After setting up the environment, I ran 'python3 train.py' and this happened. Can you have a check? Thank you!
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the failure with python3 train.py, then inspect train.py line 84 and long_net/model.py lines 271, 302, and 356. Trace the tensor shapes reaching the residual addition at line 271 and verify the corrected behavior by rerunning training until it progresses past the first step.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100