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```
import numpy as np
import spacy
import random
import torch
import torch.nn as nn
import torch.optim as optim
from torchtext.datasets import Multi30k
from torchtext.legacy.data import Field…
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When running the code train_data, valid_data, test_data = Multi30k.splits(exts = ('.de', '.en'), fields = (SRC, TRG),), It will occur an error [Errno 2] No such file or directory: '.data\\multi30k\\…
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Why is the dataset loading abnormally slow,
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## 🚀 Feature
**Motivation**
https://github.com/pytorch/data#why-composable-data-loading
**_user-experience:_** TorchData datasets enable new functional API, auto-sharding, and snapshotting …
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## 🐛 Bug
**Describe the bug**
See the CI on TorchData https://github.com/pytorch/data/runs/6011121045?check_suite_focus=true
We installed TorchText with version `torchtext-0.13.0.dev20220413`…
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## How to reproduce the problem
```
import torch
import torch.nn as nn
import torch.optim as optim
from torchtext.datasets import Multi30k
from torchtext.data import Field, BucketIterato…
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Multi30k dataset does not need to make a lookup table. What's the pipeline for experiments on multi30k dataset?
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Code:
``` python
from torchtext.data import Field
from torchtext.datasets import Multi30k
DE = Field(init_token='', eos_token='')
EN = Field(init_token='', eos_token='')
train, val, test =…
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when I try to train the model,
`python train.py -data data/multi30k.atok.low.train.pt -save_model multi30k_model -gpus 0`
An error occurs. What should I do ?
`Namespace(batch_size=64, brnn=False,…