github/ColossalAI
1
0
Fork 0
mirror of https://github.com/hpcaitech/ColossalAI.git synced 2025-09-08 12:30:42 +00:00
Code Issues Packages Projects Releases Wiki Activity

[pre-commit.ci] pre-commit autoupdate (#5572)

Browse Source 
* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/PyCQA/autoflake: v2.2.1 → v2.3.1](https://github.com/PyCQA/autoflake/compare/v2.2.1...v2.3.1)
- [github.com/pycqa/isort: 5.12.0 → 5.13.2](https://github.com/pycqa/isort/compare/5.12.0...5.13.2)
- [github.com/psf/black-pre-commit-mirror: 23.9.1 → 24.4.2](https://github.com/psf/black-pre-commit-mirror/compare/23.9.1...24.4.2)
- [github.com/pre-commit/mirrors-clang-format: v13.0.1 → v18.1.7](https://github.com/pre-commit/mirrors-clang-format/compare/v13.0.1...v18.1.7)
- [github.com/pre-commit/pre-commit-hooks: v4.3.0 → v4.6.0](https://github.com/pre-commit/pre-commit-hooks/compare/v4.3.0...v4.6.0)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
pre-commit-ci[bot]
2024-07-01 17:16:41 +08:00
committed by GitHub
parent 936d0b0f7b
commit 7c2f79fa98
53 changed files with 157 additions and 100 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
applications/ColossalChat/coati/dataset/loader.py
View File

@@ -83,15 +83,19 @@ class DataCollatorForSupervisedDataset(object):
# `List[torch.Tensor]`
batch_input_ids = [
torch.LongTensor(instance["input_ids"][: self.max_length])
if len(instance["input_ids"]) > self.max_length
else torch.LongTensor(instance["input_ids"])
(
torch.LongTensor(instance["input_ids"][: self.max_length])
if len(instance["input_ids"]) > self.max_length
else torch.LongTensor(instance["input_ids"])
)
for instance in instances
]
batch_labels = [
torch.LongTensor(instance["labels"][: self.max_length])
if len(instance["labels"]) > self.max_length
else torch.LongTensor(instance["labels"])
(
torch.LongTensor(instance["labels"][: self.max_length])
if len(instance["labels"]) > self.max_length
else torch.LongTensor(instance["labels"])
)
for instance in instances
]
if self.tokenizer.padding_side == "right":