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58848cb471
XPU backend is available natively (without IPEX) in pytorch starting from pytorch 2.4. This commit extends TGI to cover the case when user has XPU support thru pytorch 2.4, but does not have IPEX installed. Models which don't require attention can work. For attention required models more work is needed to provide attention implementation. Tested with the following models: * teknium/OpenHermes-2.5-Mistral-7B * bigscience/bloom-560m * google/gemma-7b * google/flan-t5-xxl Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com> |
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| .. | ||
| merges | ||
| __init__.py | ||
| adapter.py | ||
| chunks.py | ||
| convert.py | ||
| dist.py | ||
| hub.py | ||
| import_utils.py | ||
| log.py | ||
| logits_process.py | ||
| peft.py | ||
| quantization.py | ||
| segments.py | ||
| sgmv.py | ||
| speculate.py | ||
| tokens.py | ||
| watermark.py | ||
| weights.py | ||