[v2] EngineOperator updates to make continuous batching easier #1371
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bfineran
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Dec 6, 2023
* Pipelines Refactor - Initial Impl (#1287) * [Pipeline Refactor] Additional functionality, engine operator, linear router and image classification pipeline/operators/example (#1325) * initial functionality and working example with image classification * remove testing image * update args * initial functionality and working example with image classification * remove testing image * pr comments * defines schemas for operators and test * add image classification test, PR comments * fix input/output handling in pipeline and operator base classes to be more generic; remove context * add additional operator input message * typo fix * [v2] EngineOperator updates to make continuous batching easier (#1371) * [v2] EngineOperator updates to make continuous batching easier * test fixes * [Pipeline Refactor] Update routes, text generation initial functionality (#1348) * initial functionality and working example with image classification * remove testing image * rebase fixes * initial functionality and working example with image classification * text gen * updates func * prompt inference, initial functionality * remove image; update state docstring * Fix typo * add todo for split/join * remove context, clean-up args, remove prefill_preprocess_operaator * fix docstrings * [Pipeline Refactor] Additional Operators, Route update and completed generation functionality (#1356) * initial functionality and working example with image classification * remove testing image * rebase fixes * initial functionality and working example with image classification * text gen * updates func * prompt inference, initial functionality * remove image; update state docstring * Fix typo * add todo for split/join * remove context, clean-up args, remove prefill_preprocess_operaator * fix docstrings * initial functionality and working example with image classification * updates func * prompt inference, initial functionality * finish generation operators and update routes * further breakdown operators * add operators * fix can_operate condition * update can_operate to not rely on the inference_state * rebase + update * fix condition * fix capacity settting again * typo fixes * [Pipeline Refactor] Split/Join Functionality for multiple prompts (#1384) * add split/join functionality * update router to include split/join in parent class, refactor pipeline code to remove repeat code, update map function * process multiple generations * move map to base class * [Pipeline Refactor] Unit Testing for Text Generation Operators (#1392) * unit testing for text generation operators * additional changes * unit testing completion * remove debug * fix * add todo * more clean-up * fix test * add docstrings/comments * break out tests to individual unit test files; add conftest and make scope of fixtures module to help with speed * fix name * [Continuous Batching] Queue Implementation to support batching grouping and prioritization (#1373) * [Continuous Batching] Queue Implementation to support batching grouping and prioritization * has_key method * thread safety * add blocking option for pop_batch * update docstring * allow mutex to be shared across continuous batching objects * revert last commit * [Continuous Batching] Executor thread for running continuous batching (#1374) * [Continuous Batching] Executor thread for running continuous batching * quality * ensure that executor stops when main thread does - clean up test hack * [ContinuousBatching] ContinuousBatchingScheduler Implementation (#1375) * [ContinuousBatching] ContinuousBatchingScheduler Implementation * cleanup unnecessary stop condition * [continuous batching] singleton pattern for scheduler (#1391) * [continuous batching] singleton pattern for scheduler * catch from review * [Pipeline Refactor][Text-Generation] Create a helper function for creating engine_inputs (#1364) * rebasing off my initial commit * cleanups * unit testing for text generation operators * additional changes * unit testing completion * remove debug * fix * add todo * more clean-up * fix test * add docstrings/comments * break out tests to individual unit test files; add conftest and make scope of fixtures module to help with speed * Delete tests/deepsparse/v2/unit/text_generation/test_msic.py --------- Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com> * [Pipeline Refactor][Text-Generation] Refactor `transformers` helpers functions (#1394) * add split/join functionality * update router to include split/join in parent class, refactor pipeline code to remove repeat code, update map function * process multiple generations * initial commit * fix error * unit testing for text generation operators * additional changes * unit testing completion * remove debug * fix * add todo * more clean-up * fix test * add docstrings/comments * break out tests to individual unit test files; add conftest and make scope of fixtures module to help with speed * Delete tests/deepsparse/v2/unit/text_generation/test_msic.py * pipeline runs, but incorrectly * Revert "pipeline runs, but incorrectly" This reverts commit 51c4ee6. * PR review comments --------- Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com> * [Text Generation][V2] End-to-end tests (#1402) * initial commit * initial commit * its working now * beautification * thank you Dipika <3 * ready to review * [Pipeline Refactor][Text Generation][Continuous Batching] Integration (#1409) * update split/join * use map * update * run end-to-end * clean-up * fix bug with batch size, introduce SplitRoute dataclass * update tests to use new inputs/outputs * use the normal scheduler for internal kv_cache * add pipeline inpuits * clean-up * change engine type, update docstrings, update override function to be more generic * move subgraph functionality to its own function; clean-up cont batching in text gen pipeline * update linear pathway to also use subgraph execution * rebase fix * fix tests * [Pipeline Refactor] Operator Registry (#1420) * initial registry functionality * use sparsezoo mixin * [Pipeline Refactor] Fix Operator scheduling to fix issue with slow execution (#1453) * fix scheduling to fix issue with engine running very slowly; introduce new completed attribute for Subgraph instead of checking instance type * fix warning message * [Pipeline Refactor] Add `Pipeline.create` method to initialize pipelines (#1457) * add pipeline create method for pipeline creation using the operator registry * add instance check * [Pipeline Refactor] async (#1380) * initial functionality and working example with image classification * remove testing image * rebase fixes * initial functionality and working example with image classification * text gen * updates func * prompt inference, initial functionality * remove image; update state docstring * Fix typo * add todo for split/join * remove context, clean-up args, remove prefill_preprocess_operaator * fix docstrings * initial functionality and working example with image classification * updates func * prompt inference, initial functionality * finish generation operators and update routes * further breakdown operators * add operators * fix can_operate condition * update can_operate to not rely on the inference_state * rebase + update * fix condition * async initial functionality * fix capacity settting again * add blocking * more testing * update to use split/join * fix * rebase fix * remove index * change event loop * rebase fix * update async run to use new operator scheduling properly * rebase fixes (#1458) * more fixes (#1459) --------- Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com> Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com>
dbogunowicz
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Dec 18, 2023
* [v2] EngineOperator updates to make continuous batching easier * test fixes
dbogunowicz
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Jan 2, 2024
* Pipelines Refactor - Initial Impl (#1287) * [Pipeline Refactor] Additional functionality, engine operator, linear router and image classification pipeline/operators/example (#1325) * initial functionality and working example with image classification * remove testing image * update args * initial functionality and working example with image classification * remove testing image * pr comments * defines schemas for operators and test * add image classification test, PR comments * fix input/output handling in pipeline and operator base classes to be more generic; remove context * add additional operator input message * typo fix * [v2] EngineOperator updates to make continuous batching easier (#1371) * [v2] EngineOperator updates to make continuous batching easier * test fixes * [Pipeline Refactor] Update routes, text generation initial functionality (#1348) * initial functionality and working example with image classification * remove testing image * rebase fixes * initial functionality and working example with image classification * text gen * updates func * prompt inference, initial functionality * remove image; update state docstring * Fix typo * add todo for split/join * remove context, clean-up args, remove prefill_preprocess_operaator * fix docstrings * [Pipeline Refactor] Additional Operators, Route update and completed generation functionality (#1356) * initial functionality and working example with image classification * remove testing image * rebase fixes * initial functionality and working example with image classification * text gen * updates func * prompt inference, initial functionality * remove image; update state docstring * Fix typo * add todo for split/join * remove context, clean-up args, remove prefill_preprocess_operaator * fix docstrings * initial functionality and working example with image classification * updates func * prompt inference, initial functionality * finish generation operators and update routes * further breakdown operators * add operators * fix can_operate condition * update can_operate to not rely on the inference_state * rebase + update * fix condition * fix capacity settting again * typo fixes * add split/join functionality * update router to include split/join in parent class, refactor pipeline code to remove repeat code, update map function * process multiple generations * initial commit * fix error * [Pipeline Refactor] Split/Join Functionality for multiple prompts (#1384) * add split/join functionality * update router to include split/join in parent class, refactor pipeline code to remove repeat code, update map function * process multiple generations * move map to base class * unit testing for text generation operators * additional changes * unit testing completion * remove debug * fix * add todo * more clean-up * fix test * add docstrings/comments * break out tests to individual unit test files; add conftest and make scope of fixtures module to help with speed * [Pipeline Refactor] Unit Testing for Text Generation Operators (#1392) * unit testing for text generation operators * additional changes * unit testing completion * remove debug * fix * add todo * more clean-up * fix test * add docstrings/comments * break out tests to individual unit test files; add conftest and make scope of fixtures module to help with speed * fix name * Delete tests/deepsparse/v2/unit/text_generation/test_msic.py * [Continuous Batching] Queue Implementation to support batching grouping and prioritization (#1373) * [Continuous Batching] Queue Implementation to support batching grouping and prioritization * has_key method * thread safety * add blocking option for pop_batch * update docstring * allow mutex to be shared across continuous batching objects * revert last commit * [Continuous Batching] Executor thread for running continuous batching (#1374) * [Continuous Batching] Executor thread for running continuous batching * quality * ensure that executor stops when main thread does - clean up test hack * [ContinuousBatching] ContinuousBatchingScheduler Implementation (#1375) * [ContinuousBatching] ContinuousBatchingScheduler Implementation * cleanup unnecessary stop condition * [continuous batching] singleton pattern for scheduler (#1391) * [continuous batching] singleton pattern for scheduler * catch from review * [Pipeline Refactor][Text-Generation] Create a helper function for creating engine_inputs (#1364) * rebasing off my initial commit * cleanups * unit testing for text generation operators * additional changes * unit testing completion * remove debug * fix * add todo * more clean-up * fix test * add docstrings/comments * break out tests to individual unit test files; add conftest and make scope of fixtures module to help with speed * Delete tests/deepsparse/v2/unit/text_generation/test_msic.py --------- Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com> * pipeline runs, but incorrectly * it works for a single sequence * cleanup. now lets figure out how to run multiple sequences * [Pipeline Refactor][Text-Generation] Refactor `transformers` helpers functions (#1394) * add split/join functionality * update router to include split/join in parent class, refactor pipeline code to remove repeat code, update map function * process multiple generations * initial commit * fix error * unit testing for text generation operators * additional changes * unit testing completion * remove debug * fix * add todo * more clean-up * fix test * add docstrings/comments * break out tests to individual unit test files; add conftest and make scope of fixtures module to help with speed * Delete tests/deepsparse/v2/unit/text_generation/test_msic.py * pipeline runs, but incorrectly * Revert "pipeline runs, but incorrectly" This reverts commit 51c4ee6. * PR review comments --------- Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com> * [Text Generation][V2] End-to-end tests (#1402) * initial commit * initial commit * its working now * beautification * thank you Dipika <3 * ready to review * integration tests pass * [Pipeline Refactor][Text Generation][Continuous Batching] Integration (#1409) * update split/join * use map * update * run end-to-end * clean-up * fix bug with batch size, introduce SplitRoute dataclass * update tests to use new inputs/outputs * use the normal scheduler for internal kv_cache * add pipeline inpuits * clean-up * change engine type, update docstrings, update override function to be more generic * move subgraph functionality to its own function; clean-up cont batching in text gen pipeline * update linear pathway to also use subgraph execution * rebase fix * fix tests * [Pipeline Refactor] Operator Registry (#1420) * initial registry functionality * use sparsezoo mixin * fix tricky rebase * one more cleanup * got tests to work after rebase. implementing SPLIT and JOIN in linearouter now * pipeline working, with GraphRouter. Needs some more testing * ready for review * cleanup * simplify after PR review round * [Pipeline Refactor] Fix Operator scheduling to fix issue with slow execution (#1453) * fix scheduling to fix issue with engine running very slowly; introduce new completed attribute for Subgraph instead of checking instance type * fix warning message * [Pipeline Refactor] Add `Pipeline.create` method to initialize pipelines (#1457) * add pipeline create method for pipeline creation using the operator registry * add instance check * [Pipeline Refactor] async (#1380) * initial functionality and working example with image classification * remove testing image * rebase fixes * initial functionality and working example with image classification * text gen * updates func * prompt inference, initial functionality * remove image; update state docstring * Fix typo * add todo for split/join * remove context, clean-up args, remove prefill_preprocess_operaator * fix docstrings * initial functionality and working example with image classification * updates func * prompt inference, initial functionality * finish generation operators and update routes * further breakdown operators * add operators * fix can_operate condition * update can_operate to not rely on the inference_state * rebase + update * fix condition * async initial functionality * fix capacity settting again * add blocking * more testing * update to use split/join * fix * rebase fix * remove index * change event loop * rebase fix * update async run to use new operator scheduling properly * rebase fixes (#1458) * more fixes (#1459) * bring back functionalities that were lost in v2 during rebasing * Update src/deepsparse/transformers/helpers.py * ready for review * bring tests back" * quality * original readme * addressing Dipikas comments * Update src/deepsparse/transformers/pipelines/text_generation/pipeline_no_kv_cache.py * addressing PR review --------- Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com> Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com>
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main idea is so that a continuous batching scheduler can 1) make multiple instances of the same engine but with different batch size 2) swap out the engine used during run to run at an arbitrary batch size