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RuntimeError: CUDA out of memory. Tried to allocate 768.00 MiB (GPU 0; 6.00 GiB total capacity; 3.63 GiB already allocated; 328.06 MiB free; 3.90 GiB reserved in total by PyTorch) If r eserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF #138

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RuntimeError: CUDA out of memory. Tried to allocate 768.00 MiB (GPU 0; 6.00 GiB total capacity; 3.63 GiB already allocated; 328.06 MiB free; 3.90 GiB reserved in total by PyTorch) If r eserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

RuntimeError: CUDA out of memory. Tried to allocate 768.00 MiB (GPU 0; 6.00 GiB total capacity; 3.63 GiB already allocated; 328.06 MiB free; 3.90 GiB reserved in total by PyTorch) If r eserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF #138

Workflow file for this run

.github/workflows/issue-translator.yml at c3f33af
name: 'issue-translator'
on:
issue_comment:
types: [created]
issues:
types: [opened]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: usthe/[email protected]
with:
IS_MODIFY_TITLE: false
# not require, default false, . Decide whether to modify the issue title
# if true, the robot account @Issues-translate-bot must have modification permissions, invite @Issues-translate-bot to your project or use your custom bot.
CUSTOM_BOT_NOTE: Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿
# not require. Customize the translation robot prefix message.