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[Continuous Batching] Queue Implementation to support batching grouping and prioritization #1373

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merged 7 commits into from
Nov 13, 2023

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@bfineran bfineran commented Nov 1, 2023

This PR adds a helper class to manage engine operator requests that may come in for various engines held by the same continuous batching scheduler

the main idea is that as EngineOperator requests come in, they will be queued in separate Queues key'd by their EngineOperator. The scheduler will then use ContinuousBatchingQueues.pop_batch() to select the next most important batch for running.

Right now, the heuristic for the next batch is 1) the queue with longest wait time if it is over 100ms 2) the queue that can fill the largest batch size. For future work - the scheduler can implement a select_fn with more involved heuristics that take into account other worker threads if needed.

test_plan:
Unit tests included for basic functionality of ContinuousBatchingQueue and ContinuousBatchingQueues

@bfineran bfineran merged commit 20980a7 into v2 Nov 13, 2023
@bfineran bfineran deleted the continuous-batching-queues branch November 13, 2023 21:12
bfineran added a commit that referenced this pull request 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 added a commit that referenced this pull request 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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3 participants