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{"language": "Python", "id": 1, "repo_owner": "huggingface", "repo_name": "accelerate", "head_branch": "main", "workflow_name": "Quality Check", "workflow_filename": "quality.yml", "workflow_path": ".github/workflows/quality.yml", "contributor": "PhilJd", "sha_fail": "44b56e01683771fb4ca583f9ea57c67dcee8e779", "sha_success": "90bb882770fafc8db2fabc7fe58f446e12b55d77", "workflow": "name: Quality Check\n\non: [pull_request]\n\njobs:\n quality:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/[email protected]\n - name: Set up Python 3.8\n uses: actions/setup-python@v3\n with:\n python-version: 3.8\n - name: Install Python dependencies\n run: pip install -e .[quality]\n - name: Run Quality check\n run: make quality\n - name: Check if failure\n if: ${{ failure() }}\n run: |\n echo \"Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and rerun 'make style; make quality;'\" >> $GITHUB_STEP_SUMMARY\n\n", "logs": [{"step_name": "quality/5_Run Quality check.txt", "log": "##[group]Run make quality\n\u001b[36;1mmake quality\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nblack --required-version 23 --check tests src examples benchmarks utils\nAll done! \u2728 \ud83c\udf70 \u2728\n118 files would be left unchanged.\nruff tests src examples benchmarks utils\ndoc-builder style src/accelerate docs/source --max_len 119 --check_only\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/bin/doc-builder\", line 8, in <module>\n sys.exit(main())\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/doc_builder/commands/doc_builder_cli.py\", line 47, in main\n args.func(args)\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/doc_builder/commands/style.py\", line 28, in style_command\n raise ValueError(f\"{len(changed)} files should be restyled!\")\nValueError: 1 files should be restyled!\nmake: *** [Makefile:17: quality] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/src/accelerate/big_modeling.py b/src/accelerate/big_modeling.py\nindex 5fd2bd5..6a2392a 100644\n--- a/src/accelerate/big_modeling.py\n+++ b/src/accelerate/big_modeling.py\n@@ -73,7 +73,9 @@ def init_empty_weights(include_buffers: bool = None):\n \n Any model created under this context manager has no weights. As such you can't do something like\n `model.to(some_device)` with it. To load weights inside your empty model, see [`load_checkpoint_and_dispatch`].\n- Make sure to overwrite the default device_map param, otherwise dispatch is not called.\n+ Make sure to overwrite the default device_map param for [`load_checkpoint_and_dispatch`], otherwise dispatch is not\n+ called.\n+\n </Tip>\n \"\"\"\n if include_buffers is None:\n@@ -480,7 +482,7 @@ def load_checkpoint_and_dispatch(\n \n To have Accelerate compute the most optimized `device_map` automatically, set `device_map=\"auto\"`. For more\n information about each option see [here](../concept_guides/big_model_inference#designing-a-device-map).\n- Defaults to None, which means `dispatch_model` will not be called.\n+ Defaults to None, which means [`dispatch_model`] will not be called.\n max_memory (`Dict`, *optional*):\n A dictionary device identifier to maximum memory. Will default to the maximum memory available for each GPU\n and the available CPU RAM if unset.\n", "difficulty": 0, "changed_files": ["src/accelerate/big_modeling.py"], "commit_link": "https://github.com/huggingface/accelerate/tree/44b56e01683771fb4ca583f9ea57c67dcee8e779"} |