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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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| .. | ||
| test_module | ||
| tf_ops | ||
| add_pipeline_model_mapping_to_test.py | ||
| check_bad_commit.py | ||
| check_build.py | ||
| check_config_attributes.py | ||
| check_config_docstrings.py | ||
| check_copies.py | ||
| check_doc_toc.py | ||
| check_docstrings.py | ||
| check_doctest_list.py | ||
| check_dummies.py | ||
| check_inits.py | ||
| check_model_tester.py | ||
| check_modular_conversion.py | ||
| check_repo.py | ||
| check_self_hosted_runner.py | ||
| check_tf_ops.py | ||
| create_dependency_mapping.py | ||
| create_dummy_models.py | ||
| custom_init_isort.py | ||
| deprecate_models.py | ||
| download_glue_data.py | ||
| extract_pr_number_from_circleci.py | ||
| extract_warnings.py | ||
| fetch_hub_objects_for_ci.py | ||
| get_ci_error_statistics.py | ||
| get_github_job_time.py | ||
| get_modified_files.py | ||
| get_previous_daily_ci.py | ||
| get_test_info.py | ||
| important_models.txt | ||
| models_to_deprecate.py | ||
| modular_model_converter.py | ||
| not_doctested.txt | ||
| notification_service_doc_tests.py | ||
| notification_service_quantization.py | ||
| notification_service.py | ||
| past_ci_versions.py | ||
| patch_helper.py | ||
| pr_slow_ci_models.py | ||
| print_env.py | ||
| process_bad_commit_report.py | ||
| process_circleci_workflow_test_reports.py | ||
| process_test_artifacts.py | ||
| release.py | ||
| set_cuda_devices_for_ci.py | ||
| slow_documentation_tests.txt | ||
| sort_auto_mappings.py | ||
| split_doctest_jobs.py | ||
| split_model_tests.py | ||
| tests_fetcher.py | ||
| update_metadata.py | ||
| update_tiny_models.py | ||