Open lpkoh opened 4 years ago
same error, even tried earlier commits still didn't ran
resolved with !pip install torch==1.0.1 torchvision==0.2.2
I encountered a similar problem.
It seems that the defined 'DataLoader' in this repository corresponds to the old 'DataLoader' and does not support the newer version.
https://github.com/NVIDIA/sentiment-discovery/blob/master/data_utils/loaders.py#L91 I added 2 lines in def __init__() of class DataLoader(data.DataLoader) as below.
class DataLoader(data.DataLoader):
"""normal data loader except with options for distributed data batch sampling + wrap around"""
def __init__(self, dataset, batch_size=1, shuffle=False, sampler=None, batch_sampler=None,
num_workers=0, collate_fn=default_collate, pin_memory=False, drop_last=False,
transpose=False, world_size=2, rank=-1, distributed=False, wrap_last=False,
timeout=0, worker_init_fn=None):
self.dataset = dataset
# added 2019-11-24
self._dataset_kind = None
self.multiprocessing_context = None
self.batch_size = batch_size
I haven't confirmed that it works correctly, but at least it works without error.
Unfortunately, the method I wrote above may not be performing properly. I tried using "Finetuned Plutchik Transformer" by the way above, but it doesn't seem to get good results...
self._dataset_kind = None
may be undesirable.
I had a similar problem maybe it helps someone: I tried to load my own Dataloader object, which I saved with a previous version of Pytorch. After updating Pytorch my Dataloader object could be loaded, but I couldn't iterate over it. So, I had to create a new Dataloader object with the new Pytorch version.
I had a similar problem maybe it helps someone: I tried to load my own Dataloader object, which I saved with a previous version of Pytorch. After updating Pytorch my Dataloader object could be loaded, but I couldn't iterate over it. So, I had to create a new Dataloader object with the new Pytorch version.
how to create a new Dataloader object with the new Pytorch version? I am so confused
AttributeError: 'DirectoryDataLoader' object has no attribute 'label_map'. Please help.
Hi,
I am currently on Windows, Python 3.7. I have installed pip install torch==1.3.0+cpu torchvision==0.4.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
When I run: python run_classifier.py --load downloads/transformer_sst.clf --data data/binary_sst/test.csv --model "transformer" I get AttributeError: 'DataLoader' object has no attribute '_dataset_kind'. I have switch through many versions, like torch 1.2.0 and torchvision==0.4.0, but the issue persists. May I know if anyone has worked around this?