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* 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> |
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| .. | ||
| internal | ||
| main_classes | ||
| model_doc | ||
| quantization | ||
| tasks | ||
| _config.py | ||
| _redirects.yml | ||
| _toctree.yml | ||
| accelerate.md | ||
| add_new_model.md | ||
| add_new_pipeline.md | ||
| agents.md | ||
| attention_interface.md | ||
| attention.md | ||
| auto_docstring.md | ||
| backbones.md | ||
| cache_explanation.md | ||
| chat_extras.md | ||
| chat_templating_multimodal.md | ||
| chat_templating_writing.md | ||
| chat_templating.md | ||
| community.md | ||
| contributing.md | ||
| conversations.md | ||
| custom_models.md | ||
| debugging.md | ||
| deepspeed.md | ||
| executorch.md | ||
| fast_tokenizers.md | ||
| feature_extractors.md | ||
| fsdp.md | ||
| generation_features.md | ||
| generation_strategies.md | ||
| gguf.md | ||
| glossary.md | ||
| gpu_selection.md | ||
| how_to_hack_models.md | ||
| hpo_train.md | ||
| image_processors.md | ||
| index.md | ||
| installation.md | ||
| kv_cache.md | ||
| llm_optims.md | ||
| llm_tutorial_optimization.md | ||
| llm_tutorial.md | ||
| model_memory_anatomy.md | ||
| model_sharing.md | ||
| model_summary.md | ||
| models.md | ||
| modular_transformers.md | ||
| notebooks.md | ||
| optimizers.md | ||
| pad_truncation.md | ||
| peft.md | ||
| perf_hardware.md | ||
| perf_infer_cpu.md | ||
| perf_infer_gpu_multi.md | ||
| perf_infer_gpu_one.md | ||
| perf_torch_compile.md | ||
| perf_train_cpu_many.md | ||
| perf_train_cpu.md | ||
| perf_train_gaudi.md | ||
| perf_train_gpu_many.md | ||
| perf_train_gpu_one.md | ||
| perf_train_special.md | ||
| perf_train_tpu_tf.md | ||
| perplexity.md | ||
| philosophy.md | ||
| pipeline_gradio.md | ||
| pipeline_tutorial.md | ||
| pipeline_webserver.md | ||
| pr_checks.md | ||
| processors.md | ||
| quicktour.md | ||
| run_scripts.md | ||
| serialization.md | ||
| serving.md | ||
| task_summary.md | ||
| tasks_explained.md | ||
| testing.md | ||
| tf_xla.md | ||
| tflite.md | ||
| tokenizer_summary.md | ||
| tools.md | ||
| torchscript.md | ||
| trainer.md | ||
| training.md | ||
| troubleshooting.md | ||
| video_processors.md | ||