Commit Graph

9 Commits

Author SHA1 Message Date
Yih-Dar
3fb7e7bc01
Skip torchscript tests for 2 models (#38643)
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fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2025-06-06 20:17:37 +02:00
Arthur
f5d45d89c4
🚨Early-error🚨 config will error out if output_attentions=True and the attn implementation is wrong (#38288)
* Protect ParallelInterface

* early error out on output attention setting for no wraning in modeling

* modular update

* fixup

* update model tests

* update

* oups

* set model's config

* more cases

* ??

* properly fix

* fixup

* update

* last onces

* update

* fix?

* fix wrong merge commit

* fix hub test

* nits

* wow I am tired

* updates

* fix pipeline!

---------

Co-authored-by: Lysandre <hi@lysand.re>
2025-05-23 17:17:38 +02:00
cyyever
1e6b546ea6
Use Python 3.9 syntax in tests (#37343)
Signed-off-by: cyy <cyyever@outlook.com>
2025-04-08 14:12:08 +02:00
Matt
2d46a08b63
Purge unused ModelTester code (#37085)
* Purge correctly this time

* Remove more methods from recent PRs

* make fixup
2025-04-03 17:48:35 +01:00
Joao Gante
678885bbbd
[CI] Check test if the GenerationTesterMixin inheritance is correct 🐛 🔫 (#36180) 2025-02-21 10:18:20 +00:00
Joao Gante
62c7ea0201
CI: avoid human error, automatically infer generative models (#33212)
* tmp commit

* move tests to the right class

* remove ALL all_generative_model_classes = ...

* skip tf roberta

* skip InstructBlipForConditionalGenerationDecoderOnlyTest

* videollava

* reduce diff

* reduce diff

* remove  on vlms

* fix a few more

* manual rebase bits

* more manual rebase

* remove all manual generative model class test entries

* fix up to ernie

* a few more removals

* handle remaining cases

* recurrent gemma

* it's better here

* make fixup

* tf idefics is broken

* tf bert + generate is broken

* don't touch tf :()

* don't touch tf :(

* make fixup

* better comments for test skips

* revert tf changes

* remove empty line removal

* one more

* missing one
2025-02-13 16:27:11 +01:00
Arthur
b912f5ee43
use torch.testing.assertclose instead to get more details about error in cis (#35659)
* use torch.testing.assertclose instead to get more details about error in cis

* fix

* style

* test_all

* revert for I bert

* fixes and updates

* more image processing fixes

* more image processors

* fix mamba and co

* style

* less strick

* ok I won't be strict

* skip and be done

* up
2025-01-24 16:55:28 +01:00
eustlb
5f0f4b1b93
Patch moonshine (#35731)
* udpate expected logits for T4 runners

* update doc

* correct order of the args for better readability

* remove generate wrap

* convert modular
2025-01-20 16:19:29 +01:00
eustlb
5f087d1335
Add Moonshine (#34784)
* config draft

* full encoder forward

* full decoder forward

* fix sdpa and FA2

* fix sdpa and FA2

* moonshine model

* moonshine model forward

* fix attention with past_key_values

* add MoonshineForConditionalGeneration

* fix cache handling and causality for cross attention

* no causal attention mask for the encoder

* model addition (imports etc)

* small nit

* nits

* Update src/transformers/models/moonshine/convert_usefulsensors_to_hf.py

Co-authored-by: Joshua Lochner <admin@xenova.com>

* add rope_theta

* nits

* model doc

* Update src/transformers/models/auto/configuration_auto.py

Co-authored-by: Joshua Lochner <admin@xenova.com>

* imports

* add MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES

* updates modular

* make

* make fix-copies

* ruff check examples fix

* fix check_modular_conversion

* nit

* nits

* nits

* copied from -> imports

* imports fix

* integrate attention refacto

* modular edge case

* remove encoder

* convolutions params in config

* run modular_model_converter

* make

* Update docs/source/en/model_doc/moonshine.md

Co-authored-by: Joshua Lochner <admin@xenova.com>

* MoonshineModelTest

* correct typo

* make style

* integration tests

* make

* modular convert

* name conversion update (up_proj -> fc1 etc)

* update config

* update MLP

* update attention

* update encoder layer

* update decoder layer

* update convolutions parameters

* update encoder

* remove INPUTS_DOCSTRING

* update decoder

* update conditional generation

* update pretrained model

* imports

* modular converted

* update doc

* fix

* typo

* update doc

* update license

* update init

* split config in file

* two classes for MLP

* attention from GLM

* from GlmRotaryEmbedding

* split MLP

* apply arthur's review suggestions

* apply arthur's review suggestions

* apply arthur's review suggestions

* auto feature extractor

* convert modular

* fix + make

* convert modular

* make

* unsplit config

* use correct checkpoint

* wrap generate

* update tests

* typos

* make

* typo

* update doc

---------

Co-authored-by: Joshua Lochner <admin@xenova.com>
2025-01-10 11:00:54 +01:00