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remove-script-datasets-in-tests-test-datasets-main
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13 Commits

Author SHA1 Message Date
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
cyyever
786d9c5ed9
Fix more inefficient PT operations (#37060) 
* Fix inefficient operations

* Remove cpu() call

* Reorder detach()

* Reorder detach()

* tolist without detach

* item without detach

* Update src/transformers/models/rag/modeling_rag.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update tests/models/encodec/test_modeling_encodec.py

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Use detach().cpu().numpy

* Revert some numpy operations

* More fixes

---------

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
 2025-03-31 16:31:24 +01:00
Afanti
19085c28da
fix typos in the tests directory (#36932) 
* chore: fix typos in test codes

* chore: fix typos in test codes

* chore: fix typos in test codes

* chore: fix typos in test codes

* chore: fix typos in test codes

* chore: fix typos in test codes

* chore: fix typos in test codes

* chore: fix typos in test codes

* chore: format codes
 2025-03-25 10:49:24 +01:00
Joao Gante
42ebb6c23e
[tests] Parameterized test_eager_matches_sdpa_inference (#36650) 2025-03-14 14:41:27 +00:00
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
870eb7b41b
[Mimi] update test expected values for t4 runners (#35696) 
update values for t4
 2025-01-21 18:23:36 +01:00
Yih-Dar
fd8d61fdb2
Byebye test_batching_equivalence's flakiness (#35729) 
* fix

* fix

* skip

* better error message

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2025-01-21 13:11:33 +01:00
Dmitry Rogozhkin
31830474bf
Fix test_eager_matches_sdpa_inference for XPU backend (#34889) 
* Use torch.nn.attention.sdpa_kernel instead of deprecated torch.backends.cuda.sdp_kernel

Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

* Fix test_eager_matches_sdpa_inference for XPU backend

As of PyTorch 2.5 XPU backend supports only torch.nn.attention.SDPBackend.MATH
which is implemented on PyTorch level using aten operators and is device
agnostic with respect to implementation of each aten operator. Thus, we can
reuse CUDA (or CPU) MATH weights for XPU.

Fixes: #34888
Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

* Use torch.amp.autocast instead of deprecated torch.cuda.amp.autocast in nemotron

Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

---------

Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>
 2024-12-02 16:21:04 +01:00
Yih-Dar
f2d5dfbab2
Remove @slow for test_eager_matches_sdpa_inference (#34558) 
* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2024-11-05 16:10:42 +01:00
Joao Gante
8a734ea2c3
Tests: move generate tests to the right mixin and delete redundant tests (#34464) 
* tmp commit

* tmp commit

* cull overwrites of deleted tests

* typo

* more specific docstring

* make fixup

* parameterize at the top?

* correction

* more deletions :D

* tmp commit

* for VLMs too

* fix _check_outputs

* test nit

* make fixup

* fix another flaky

* test_generate_from_inputs_embeds -- handle missing attention mask
 2024-10-30 10:59:08 +00:00
Yoach Lacombe
9ba021ea75
Moshi integration (#33624) 
* clean mimi commit

* some nits suggestions from Arthur

* make fixup

* first moshi WIP

* converting weights working + configuration + generation configuration

* finalize converting script - still missing tokenizer and FE and processor

* fix saving model w/o default config

* working generation

* use GenerationMixin instead of inheriting

* add delay pattern mask

* fix right order: moshi codes then user codes

* unconditional inputs + generation config

* get rid of MoshiGenerationConfig

* blank user inputs

* update convert script:fix conversion, add  tokenizer, feature extractor and bf16

* add and correct Auto classes

* update modeling code, configuration and tests

* make fixup

* fix some copies

* WIP: add integration tests

* add dummy objects

* propose better readiblity and code organisation

* update tokenization tests

* update docstrigns, eval and modeling

* add .md

* make fixup

* add MoshiForConditionalGeneration to ignore Auto

* revert mimi changes

* re

* further fix

* Update moshi.md

* correct md formating

* move prepare causal mask to class

* fix copies

* fix depth decoder causal

* fix and correct some tests

* make style and update .md

* correct config checkpoitn

* Update tests/models/moshi/test_tokenization_moshi.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update tests/models/moshi/test_tokenization_moshi.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* make style

* Update src/transformers/models/moshi/__init__.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fixup

* change firm in copyrights

* udpate config with nested dict

* replace einsum

* make style

* change split to True

* add back splt=False

* remove tests in convert

* Update tests/models/moshi/test_modeling_moshi.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* add default config repo + add model to FA2 docstrings

* remove logits float

* fix some tokenization tests and ignore some others

* make style tokenization tests

* update modeling with sliding window + update modeling tests

* [run-slow] moshi

* remove prepare for generation frol CausalLM

* isort

* remove copied from

* ignore offload tests

* update causal mask and prepare 4D mask aligned with recent changes

* further test refine + add back prepare_inputs_for_generation for depth decoder

* correct conditional use of prepare mask

* update slow integration tests

* fix multi-device forward

* remove previous solution to device_map

* save_load is flaky

* fix generate multi-devices

* fix device

* move tensor to int

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Marc Sun <marc@huggingface.co>
 2024-10-16 11:21:49 +02:00
Joao Gante
d29738f5b4
Generate tests: modality-agnostic input preparation (#33685) 2024-10-03 14:01:24 +01:00
Yoach Lacombe
5af7d41e49
Codec integration (#33565) 
* clean mimi commit

* some nits suggestions from Arthur

* make fixup

* rename repo id + change readme

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

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add flaky flag to batching equivalence due to audio_codes failing sometimes

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-09-18 19:23:44 +02:00