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I run
python3 train.py ETTm1 mytest --loader forecast_csv
and have got an error as follows.
Could you pls help me? thanks
##############################
Dataset: ETTm1
Arguments: Namespace(batch_size=8, dataset='ETTm1', epochs=None, eval=False, gpu=0, irregular=0, iters=None, loader='forecast_csv', lr=0.001, max_threads=None, max_train_length=3000, repr_dims=320, run_name='binh', save_every=None, seed=None)
Loading data... done
Traceback (most recent call last):
File "train.py", line 120, in
loss_log = model.fit(
File "/home/binh/experiments/ts2vec/ts2vec.py", line 137, in fit
loss.backward()
File "/home/binh/.local/lib/python3.8/site-packages/torch/tensor.py", line 245, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs)
File "/home/binh/.local/lib/python3.8/site-packages/torch/autograd/init.py", line 145, in backward
Variable._execution_engine.run_backward(
RuntimeError: CUDA out of memory. Tried to allocate 380.00 MiB (GPU 0; 3.82 GiB total capacity; 1.80 GiB already allocated; 254.62 MiB free; 2.25 GiB reserved in total by PyTorch)
The text was updated successfully, but these errors were encountered:
I run
python3 train.py ETTm1 mytest --loader forecast_csv
and have got an error as follows.
Could you pls help me? thanks
##############################
Dataset: ETTm1
Arguments: Namespace(batch_size=8, dataset='ETTm1', epochs=None, eval=False, gpu=0, irregular=0, iters=None, loader='forecast_csv', lr=0.001, max_threads=None, max_train_length=3000, repr_dims=320, run_name='binh', save_every=None, seed=None)
Loading data... done
Traceback (most recent call last):
File "train.py", line 120, in
loss_log = model.fit(
File "/home/binh/experiments/ts2vec/ts2vec.py", line 137, in fit
loss.backward()
File "/home/binh/.local/lib/python3.8/site-packages/torch/tensor.py", line 245, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs)
File "/home/binh/.local/lib/python3.8/site-packages/torch/autograd/init.py", line 145, in backward
Variable._execution_engine.run_backward(
RuntimeError: CUDA out of memory. Tried to allocate 380.00 MiB (GPU 0; 3.82 GiB total capacity; 1.80 GiB already allocated; 254.62 MiB free; 2.25 GiB reserved in total by PyTorch)
The text was updated successfully, but these errors were encountered: