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merged 8 commits into from
Nov 20, 2023
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@dbogunowicz dbogunowicz commented Nov 14, 2023

Feature Description

Successfully migrated LLM end-to-end tests from v1 to v2.
Missing elements:

  • Tests for no-kv cache pipeline are currently disabled (will be enabled once the TextGenerationPipelineNoCache is implemented
  • We are not testing the kv cache state post-inference. To do so, we need to enable the debug flag, as we did previously in v1. I do not see it as a blocker for this PR, but I'd propose to scope it as a part of the next sprint.

Testing

Both
pytest tests/deepsparse/v2/unit/
pytest tests/deepsparse/v2/integration_tests/
are green.

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@dbogunowicz dbogunowicz changed the base branch from main to v2 November 14, 2023 11:34
@dbogunowicz dbogunowicz changed the title [Text Generation][V2] End-to-end tests [WiP][Text Generation][V2] End-to-end tests Nov 14, 2023
@dbogunowicz dbogunowicz changed the base branch from v2 to feature/damian/v2/fix_max_length November 14, 2023 12:43
@dbogunowicz dbogunowicz changed the title [WiP][Text Generation][V2] End-to-end tests [Text Generation][V2] End-to-end tests Nov 15, 2023
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Marked everything that I think needs to be updated for now. Key things are the generation_kwargs being used and making sure the typo for max_length/max_new_tokens being addressed

@dbogunowicz dbogunowicz changed the base branch from feature/damian/v2/fix_max_length to v2 November 20, 2023 16:52
@dbogunowicz dbogunowicz merged commit 1b9238a into v2 Nov 20, 2023
@dbogunowicz dbogunowicz deleted the feature/damian/v2/e2e branch November 20, 2023 20:55
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