torch-sparse PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations 17 sacrebleu Hassle-free computation of shareable, comparable, and reproducible BLEU, chrF, and TER scores 17 sacremoses SacreMoses 17 accelerate Accelerate 17 icecream Never use print() to debug again; inspect variables...
sparse_pool.py -> build\lib.win-amd64-cpython-37\mmcv\ops copying mmcv\ops\sparse_structure.py -> build\lib.win-amd64-cpython-37\mmcv\ops copying mmcv\ops\sync_bn.py -> build\lib.win-amd64-cpython-37\mmcv\ops copying mmcv\ops\three_interpolate.py -> build\lib.win-amd64-c...
from torch.utils.data import Dataset, DataLoader class GPTDatasetV1(Dataset): def __init__(self, txt, tokenizer, max_length, stride): self.tokenizer = tokenizer self.input_ids = [] self.target_ids = [] # Tokenize the entire text token_ids = tokenizer.encode(txt, allowed_special={'<...