mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-23 14:29:01 +06:00
163138a911
* start * start having a clean 4d mask primitive * Update mask_utils.py * Update mask_utils.py * switch name * Update masking_utils.py * add a new AttentionMask tensor class * fix import * nits * fixes * use full and quandrants * general sdpa mask for all caches * style * start some tests * tests with sliding, chunked * add styling * test hybrid * Update masking_utils.py * small temp fixes * Update modeling_gemma2.py * compile compatible * Update masking_utils.py * improve * start making it more general * Update masking_utils.py * generate * make it work with flex style primitives! * Update masking_utils.py * Update masking_utils.py * Update masking_utils.py * improve * Update cache_utils.py * Update masking_utils.py * simplify - starting to look good! * Update masking_utils.py * name * Update masking_utils.py * style * Update masking_utils.py * Update masking_utils.py * Update masking_utils.py * Update masking_utils.py * small fix for flex * flex compile * FA2 * Update masking_utils.py * Escape for TGI/vLLM! * Update masking_utils.py * Update masking_utils.py * Update masking_utils.py * General case without cache * rename * full test on llama4 * small fix for FA2 guard with chunk * Update modeling_gemma2.py * post rebase cleanup * FA2 supports static cache! * Update modeling_flash_attention_utils.py * Update flex_attention.py * Update masking_utils.py * Update masking_utils.py * Update utils.py * override for export * Update executorch.py * Update executorch.py * Update executorch.py * Update executorch.py * Update masking_utils.py * Update masking_utils.py * output attentions * style * Update masking_utils.py * Update executorch.py * Add doicstring * Add license and put mask visualizer at the end * Update test_modeling_common.py * fix broken test * Update test_modeling_gemma.py * Update test_modeling_gemma2.py * Use fullgraph=False with FA2 * Update utils.py * change name * Update masking_utils.py * improve doc * change name * Update modeling_attn_mask_utils.py * more explicit logic based on model's property * pattern in config * extend * fixes * make it better * generalize to other test models * fix * Update masking_utils.py * fix * do not check mask equivalence if layer types are different * executorch * Update modeling_gemma2.py * Update masking_utils.py * use layer_idx instead * adjust * Update masking_utils.py * test * fix imports * Update modeling_gemma2.py * other test models * Update modeling_llama4.py * Update masking_utils.py * improve * simplify * Update masking_utils.py * typos * typo * fix * Update masking_utils.py * default DynamicCache * remove default cache * simplify * Update masking_utils.py * Update masking_utils.py * Update masking_utils.py * Update masking_utils.py * simplify * Update masking_utils.py * Update masking_utils.py * Update masking_utils.py * export * Update executorch.py * Update executorch.py * Update flex_attention.py * Update executorch.py * upstream to modular gemma 1 & 2 * Update modular_mistral.py * switch names * use dict * put it in the Layer directly * update copy model source for mask functions * apply so many modular (hopefully 1 shot) * use explicite dicts for make style happy * protect import * check docstring * better default in hybrid caches * qwens * Update modular_qwen2.py * simplify core logic! * Update executorch.py * qwen3 moe * Update masking_utils.py * Update masking_utils.py * simplify a lot sdpa causal skip * Update masking_utils.py * post-rebase * gemma3 finally * style * check it before * gemma3 * More general with newer torch * align gemma3 * Update utils.py * Update utils.py * Update masking_utils.py * Update test_modeling_common.py * Update flex_attention.py * Update flex_attention.py * Update flex_attention.py * test * executorch * Update test_modeling_common.py * Update masking_utils.py * Update masking_utils.py * Update masking_utils.py * Update masking_utils.py * Update executorch.py * Update test_modeling_common.py * fix copies * device * sdpa can be used without mask -> pass the torchscript tests in this case * Use enum for check * revert enum and add check instead * remove broken test * cohere2 * some doc & reorganize the Interface * Update tensor_parallel.py * Update tensor_parallel.py * doc and dummy * Update test_modeling_paligemma2.py * Update modeling_falcon_h1.py * Update masking_utils.py * executorch patch * style * CIs * use register in executorch * final comments! --------- Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com> |
||
|---|---|---|
| .. | ||
| import_structures | ||
| __init__.py | ||
| test_activations_tf.py | ||
| test_activations.py | ||
| test_add_new_model_like.py | ||
| test_audio_utils.py | ||
| test_auto_docstring.py | ||
| test_backbone_utils.py | ||
| test_cache_utils.py | ||
| test_chat_template_utils.py | ||
| test_cli.py | ||
| test_configuration_utils.py | ||
| test_convert_slow_tokenizer.py | ||
| test_deprecation.py | ||
| test_doc_samples.py | ||
| test_dynamic_module_utils.py | ||
| test_expectations.py | ||
| test_feature_extraction_utils.py | ||
| test_file_utils.py | ||
| test_generic.py | ||
| test_hf_argparser.py | ||
| test_hub_utils.py | ||
| test_image_processing_utils.py | ||
| test_image_utils.py | ||
| test_import_structure.py | ||
| test_import_utils.py | ||
| test_logging.py | ||
| test_model_card.py | ||
| test_model_debugging_utils.py | ||
| test_model_output.py | ||
| test_modeling_flax_utils.py | ||
| test_modeling_rope_utils.py | ||
| test_modeling_tf_core.py | ||
| test_modeling_tf_utils.py | ||
| test_modeling_utils.py | ||
| test_offline.py | ||
| test_processing_utils.py | ||
| test_skip_decorators.py | ||
| test_tokenization_utils.py | ||
| test_versions_utils.py | ||
| test_video_utils.py | ||
| tiny_model_summary.json | ||