Commit Graph

187 Commits

Author SHA1 Message Date
Ross Wightman
8c1b5d3782
🚨🚨🚨 An attempt to fix #29554. Include 'LayerNorm.' in gamma/beta rename scope, optimize string search. (#35615)
* An attempt to fix #29554. Include 'LayerNorm.' in gamma/beta rename scope, reduce number of characters searched on every load considerably.

* Fix fix on load issue

* Fix gamma/beta warning test

* A style complaint

* Improve efficiency of weight norm key rename. Add better comments about weight norm and layer norm renaming.

* Habitual elif redunant with the return
2025-01-16 17:25:44 -08:00
Joao Gante
aeeceb9916
[cache] add a test to confirm we can use cache at train time (#35709)
* add test

* augment test as suggested

* Update tests/utils/test_modeling_utils.py

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

* rerun tests

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2025-01-16 17:02:34 +00:00
jiqing-feng
387663e571
Enable gptqmodel (#35012)
* gptqmodel

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix format

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* update readme

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* gptqmodel need use checkpoint_format (#1)

* gptqmodel need use checkpoint_format

* fix quantize

* Update quantization_config.py

* Update quantization_config.py

* Update quantization_config.py

---------

Co-authored-by: ZX-ModelCloud <zx@modelcloud.ai>
Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>

* Revert quantizer_gptq.py (#2)

* revert quantizer_gptq.py change

* pass **kwargs

* limit gptqmodel and optimum version

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix format

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix warning

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix version check

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* revert unrelated changes

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* enable gptqmodel tests

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix requires gptq

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Fix Transformer compat (#3)

* revert quantizer_gptq.py change

* pass **kwargs

* add meta info

* cleanup

* cleanup

* Update quantization_config.py

* hf_select_quant_linear pass checkpoint_format and meta

* fix GPTQTestCUDA

* Update test_gptq.py

* gptqmodel.hf_select_quant_linear() now does not select ExllamaV2

* cleanup

* add backend

* cleanup

* cleanup

* no need check exllama version

* Update quantization_config.py

* lower checkpoint_format and backend

* check none

* cleanup

* Update quantization_config.py

* fix self.use_exllama == False

* spell

* fix unittest

* fix unittest

---------

Co-authored-by: LRL <lrl@lbx.dev>
Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>

* fix format

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix format again

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* update gptqmodel version (#6)

* update gptqmodel version

* update gptqmodel version

* fix unit test (#5)

* update gptqmodel version

* update gptqmodel version

* "not self.use_exllama" is not equivalent to "self.use_exllama==False"

* fix unittest

* update gptqmodel version

* backend is loading_attibutes (#7)

* fix format and tests

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix memory check

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix device mismatch

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix result check

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Update src/transformers/quantizers/quantizer_gptq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/quantizer_gptq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/quantizer_gptq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* update tests

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* review: update docs (#10)

* review: update docs (#12)

* review: update docs

* fix typo

* update tests for gptqmodel

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* update document (#9)

* update overview.md

* cleanup

* Update overview.md

* Update overview.md

* Update overview.md

* update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

---------

Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>

* typo

* doc note for asymmetric quant

* typo with apple silicon(e)

* typo for marlin

* column name revert: review

* doc rocm support

* Update docs/source/en/quantization/gptq.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/quantization/gptq.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/quantization/gptq.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/quantization/gptq.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/quantization/overview.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/quantization/overview.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>
Co-authored-by: LRL-ModelCloud <165116337+LRL-ModelCloud@users.noreply.github.com>
Co-authored-by: ZX-ModelCloud <zx@modelcloud.ai>
Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>
Co-authored-by: ZX-ModelCloud <165115237+ZX-ModelCloud@users.noreply.github.com>
Co-authored-by: LRL <lrl@lbx.dev>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Mohamed Mekkouri <93391238+MekkCyber@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
2025-01-15 14:22:49 +01:00
Raushan Turganbay
84a6789145
Enable different torch dtype in sub models (#34873)
* fix

* fix test

* add tests

* add more tests

* fix tests

* supposed to be a torch.dtype test

* handle BC and make fp32 default
2025-01-13 13:42:08 +01:00
Cyril Vallez
965a2fb320
More model refactoring! (#35359)
* cohere

* style

* phi3

* style

* small fix

* small fix

* phi3 longrope

* oups

* Update rope (only for phi3 still)

* Update test_modeling_rope_utils.py

* Update modeling_phi3.py

* fix

* fix copies

* style

* Fix copied from bad renaming
2025-01-09 11:09:09 +01:00
Arthur
2c47618c1a
🚨All attention refactor🚨 (#35235)
* refactor LlamaAttention

* minimal changes

* fix llama

* update

* modular gemmas

* modular nits

* modular updates

* nits

* simplify

* gpt2

* more modualr and fixes

* granite

* modular modular modular

* nits

* update

* qwen2 + starcoder2

* mostly gemma2

* Update image_processing_auto.py

* fix

* Update modular_starcoder2.py

* fix

* remove all copied from attentions

* remove gcv

* make fix-copies

* oups

* oups2.0

* fix some modulars + all copied from

* should be good now

* revert unwanted changes

* Update modeling_decision_transformer.py

* finish cleanup

* Update modeling_olmo.py

* consistency

* re-add gradient checkpointing attribute

* fix

* style

* make config necessary

* bis

* bis

* Update modeling_my_new_model2.py

* is_causal attr

* fix

* remove past kv return from decoder layer

* fix

* default rope config

* correctly fix rope config

* fix bias

* fix gpt2 attention output

* fix test

* fix inits

* fix default sdpa

* fix default sdpa implementation

* harmonize classes

* fix mistral

* fix sliding window models

* mixtral

* be more explicit

* style

* fix

* several fixes

* Update modeling_dbrx.py

* fix test

* olmo + phi

* rotary

* syle

* phi

* phi again

* again

* kwargs

* Update test_modeling_common.py

* skip fx tracing tests

* Update modeling_utils.py

* gemma 2

* again

* Update modeling_recurrent_gemma.py

* gemma2

* granite

* style

* starcoder

* Update sdpa_attention.py

* switch args

* Update modeling_mllama.py

* fix

* cache type tests

* gpt2

* Update test_modeling_common.py

* fix

* consistency

* fix shape with encoder

* should be the last one

* tests non model

* most comments

* small oupsi

* be more explicit in modulars

* more explicit modulars

* CIs! it works locally

* add kwargs to _flash_attention_forward

---------

Co-authored-by: Cyril Vallez <cyril.vallez@gmail.com>
2024-12-18 16:53:39 +01:00
Marc Sun
1eee1cedfd
Fix loading with only state dict and low_cpu_mem_usage = True (#35217)
* fix loading with only state dict and config

* style

* add tests

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2024-12-18 09:54:32 +01:00
Yih-Dar
b0a51e5cff
Fix flaky Hub CI (test_trainer.py) (#35062)
* fix

* Update src/transformers/testing_utils.py

Co-authored-by: Lucain <lucainp@gmail.com>

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* check

* check

* check

* check

* check

* check

* Update src/transformers/testing_utils.py

Co-authored-by: Lucain <lucainp@gmail.com>

* Update src/transformers/testing_utils.py

Co-authored-by: Lucain <lucainp@gmail.com>

* check

* check

* check

* Final space

* Final adjustment

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Lucain <lucainp@gmail.com>
2024-12-05 17:02:27 +01:00
Tibor Reiss
f297af55df
Fix: take into account meta device (#34134)
* Do not load for meta device

* Make some minor improvements

* Add test

* Update tests/utils/test_modeling_utils.py

Update test parameters

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Make the test simpler

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
2024-11-20 11:32:07 +01:00
Joao Gante
13493215ab
🧼 remove v4.44 deprecations (#34245)
* remove v4.44 deprecations

* PR comments

* deprecations scheduled for v4.50

* hub version update

* make fiuxp

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-11-15 23:07:24 +01:00
Joao Gante
34927b0f73
MPS: isin_mps_friendly can support 0D tensors (#34538)
* apply fix

* tested

* make fixup
2024-11-04 16:18:50 +00:00
Yoni Gozlan
203e27059b
Add image text to text pipeline (#34170)
* Standardize image-text-to-text-models-output

add post_process_image_text_to_text to chameleon and cleanup

Fix legacy kwarg behavior and deprecation warning

add post_process_image_text_to_text to qwen2_vl and llava_onevision

Add post_process_image_text_to_text to idefics3, mllama, pixtral processor

* nit var name post_process_image_text_to_text udop

* nit fix deprecation warnings

* Add image-text-to-text pipeline

* add support for image url in chat template for pipeline

* Reformat to be fully compatible with chat templates

* Add tests chat template

* Fix imports and tests

* Add pipeline tag

* change logic handling of single prompt ans multiple images

* add pipeline mapping to models

* fix batched inference

* fix tests

* Add manual batching for preprocessing

* Fix outputs with nested images

* Add support for all common processing kwargs

* Add default padding when multiple text inputs (batch size>1)

* nit change version deprecation warning

* Add support for text only inference

* add chat_template warnings

* Add pipeline tests and add copied from post process function

* Fix batched pipeline tests

* nit

* Fix pipeline tests blip2

* remove unnecessary max_new_tokens

* revert processing kosmos2 and remove unnecessary max_new_tokens

* fix pipeline tests idefics

* Force try loading processor if pipeline supports it

* revert load_processor change

* hardcode loading only processor

* remove unnecessary try except

* skip imagetexttotext tests for kosmos2 as tiny model causes problems

* Make code clearer

* Address review comments

* remove preprocessing logic from pipeline

* fix fuyu

* add BC resize fuyu

* Move post_process_image_text_to_text to ProcessorMixin

* add guard in post_process

* fix zero shot object detection pipeline

* add support for generator input in pipeline

* nit

* change default image-text-to-text model to llava onevision

* fix owlv2 size dict

* Change legacy deprecation warning to only show when True
2024-10-31 15:48:11 -04:00
kang sheng
655bec2da7
use a tinymodel to test generation config which aviod timeout (#34482)
* use a tinymodel to test generation config which aviod timeout

* remove tailing whitespace
2024-10-29 09:39:06 +01:00
Raushan Turganbay
21d5025826
Attn implementation for composite models (#32238)
* first try

* codestyle

* idefics2 is happy

* [run-slow] llava, llava_next, video_llava, vipllava, llava_next_video, idefics, idefics2, kosmos2, fuyu, blip, blip_2, instructblip, instructblipvideo, paligemma

* fix-copies

* [run-slow] llava, llava_next, video_llava, vipllava, llava_next_video, idefics, idefics2, kosmos2, fuyu, blip, blip_2, instructblip, instructblipvideo

* blip-2 needs to init vision from config

* when was this removed O_o

* minor fix

* tests

* this way?

* tests

* model-agnostic code

* codestyle

* add tests for idefics

* modify general test for VLMs

* no generation test for vlm yet!

* no generation test here also

* wanr in VIT-SDPA if output attn

* add more tests

* user can pass dict as attn impl

* repo consistency

* update

* muicgen

* no prints

* forgot speech enc-dec and clip

* how many composite models we have?

* musicgen meelody is same as mudicgen

* +siglip

* fix tests + add some more

* remove idefics custom overriden code

* make idefics2 automappable

* nits

* skip tests

* doctests

* Update src/transformers/models/idefics2/configuration_idefics2.py

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

* Update tests/models/clip/test_modeling_clip.py

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

* Update tests/models/idefics2/test_modeling_idefics2.py

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

* Update tests/models/idefics2/test_modeling_idefics2.py

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

* Update src/transformers/configuration_utils.py

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

* major update, no need for automap

* clean up

* add FA2 test

* more tests

* style

* skip tests

* why did these started failing now?

* no attributes for FA2 needed

* one tiny test

* address comment about FA2 false warning

* style

* add new models and resolve conflicts

* fix copies

* let it be this way for now, come back tomorrow to review

* some more fixes

* update

* more updates

* update

* fix copies

* style and tests

* another big update

* fix tests

* fix tests

* update

* another update

* fix tests

* fix copies

* fix tests

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-10-22 06:54:44 +02:00
alpertunga-bile
98bad9c6d6
[fix] fix token healing tests and usage errors (#33931)
* auto-gptq requirement is removed & model is changed & tokenizer pad token is assigned

* values func is changed with extensions & sequence key value bug is fixed

* map key value check is added in ExtensionsTree

* empty trimmed_ids bug is fixed

* tail_id IndexError is fixed

* empty trimmed_ids bug fix is updated for failed test

* too much specific case for specific tokenizer is removed

* input_ids check is updated

* require auto-gptq import is removed

* key error check is changed with empty list check

* empty input_ids check is added

* empty trimmed_ids fix is checked with numel function

* usage change comments are added

* test changes are commented

* comment style and quality bugs are fixed

* test comment style and quality bug is fixed
2024-10-16 14:22:55 +02:00
Lysandre Debut
409dd2d19c
Fix failing conversion (#34010)
* Fix

* Tests

* Typo

* Typo
2024-10-11 14:59:23 +02:00
Dani Martí
a84c413773
HfArgumentParser: allow for hyhenated field names in long-options (#33990)
Allow for hyphenated field names in long-options

argparse converts hyphens into underscores before assignment (e.g., an
option passed as `--long-option` will be stored under `long_option`), So
there is no need to pass options as literal attributes, as in
`--long_option` (with an underscore instead of a hyphen). This commit
ensures that this behavior is respected by `parse_args_into_dataclasses`
as well.

Issue: #33933

Co-authored-by: Daniel Marti <mrtidm@amazon.com>
2024-10-10 11:58:26 +02:00
Joao Gante
38f9f10dd9
Cache: revert DynamicCache init for BC (#33861)
* tmp commit

* tmp commit

* make fixup

* missing removal

* fix condition

* fix end-to-end compilation

* if -> elif

* BC

* BC

* use @deprecate_kwarg("num_hidden_layers", version="4.47.0")

* wups the import

* 🥴

---------

Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
2024-10-04 22:47:08 +02:00
Raushan Turganbay
061c2c4c38
Ignore keys on validate_rope (#33753)
* ignore keys on check rope

* add tests

* fix tests, so maybe better leave at logger lvl
2024-10-04 12:39:37 +02:00
Joao Gante
b0c5660e88
Config: lower save_pretrained exception to warning (#33906)
* lower to warning

* msg

* make fixup

* rm extra comma
2024-10-03 16:45:14 +01:00
Guang Yang
808997a634
Fix passing str dtype to static cache (#33741)
Co-authored-by: Guang Yang <guangyang@fb.com>
2024-10-01 09:50:17 +02:00
Joao Gante
3557f9a14a
Generate: can_generate() recursive check (#33718)
* add recursive check and test warnings

* missing space

* models without can_generate
2024-09-26 18:11:14 +01:00
Arthur
19d58d31f1
Add MLLama (#33703)
* current changes

* nit

* Add cross_attenttion_mask to processor

* multi-image fixed

* Add cross_attenttion_mask to processor

* cross attn works in all cases

* WIP refactoring function for image processor

* WIP refactoring image processor functions

* Refactor preprocess to use global loops instead of list nested list comps

* Docstrings

* Add channels unification

* fix dtype issues

* Update docsrings and format

* Consistent max_image_tiles

* current script

* updates

* Add convert to rgb

* Add image processor tests

* updates!

* update

* god damn it I am dumb sometimes

* Precompute aspect ratios

* now this works, full match

* fix 😉

* nits

* style

* fix model and conversion

* nit

* nit

* kinda works

* hack for sdpa non-contiguous bias

* nits here and there

* latest c hanges

* merge?

* run forward

* Add aspect_ratio_mask

* vision attention mask

* update script and config variable names

* nit

* nits

* be able to load

* style

* nits

* there

* nits

* make forward run

* small update

* enable generation multi-turn

* nit

* nit

* Clean up a bit for errors and typos

* A bit more constant fixes

* 90B keys and shapes match

* Fix for 11B model

* Fixup, remove debug part

* Docs

* Make max_aspect_ratio_id to be minimal

* Update image processing code to match new implementation

* Adjust conversion for final checkpoint state

* Change dim in repeat_interleave (accordig to meta code)

* tmp fix for num_tiles

* Fix for conversion (gate<->up, q/k_proj rope permute)

* nits

* codestyle

* Vision encoder fixes

* pass cross attn mask further

* Refactor aspect ratio mask

* Disable text-only generation

* Fix cross attention layers order, remove q/k norm rotation for cross atention layers

* Refactor gated position embeddings

* fix bugs but needs test with new weights

* rope scaling should be llama3

* Fix rope scaling name

* Remove debug for linear layer

* fix copies

* Make mask prepare private func

* Remove linear patch embed

* Make precomputed embeddings as nn.Embedding module

* MllamaPrecomputedAspectRatioEmbedding with config init

* Remove unused self.output_dim

* nit, intermediate layers

* Rename ln and pos_embed

* vision_chunk_size -> image_size

* return_intermediate -> intermediate_layers_indices

* vision_input_dim -> hidden_size

* Fix copied from statements

* fix most tests

* Fix more copied from

* layer_id->layer_idx

* Comment

* Fix tests for processor

* Copied from for _prepare_4d_causal_attention_mask_with_cache_position

* Style fix

* Add MllamaForCausalLM

* WIP fixing tests

* Remove duplicated layers

* Remove dummy file

* Fix style

* Fix consistency

* Fix some TODOs

* fix language_model instantiation, add docstring

* Move docstring, remove todos for precomputed embeds (we cannot init them properly)

* Add initial docstrings

* Fix

* fix some tests

* lets skip these

* nits, remove print, style

* Add one more copied from

* Improve test message

* Make validate func private

* Fix dummy objects

* Refactor `data_format` a bit + add comment

* typos/nits

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* fix dummy objects and imports

* Add chat template config json

* remove num_kv_heads from vision attention

* fix

* move some commits and add more tests

* fix test

* Remove `update_key_name` from modeling utils

* remove num-kv-heads again

* some prelimiary docs

* Update chat template + tests

* nit, conversion script max_num_tiles from params

* Fix warning for text-only generation

* Update conversion script for instruct models

* Update chat template in converstion + test

* add tests for CausalLM model

* model_max_length, avoid null chat_template

* Refactor conversion script

* Fix forward

* Fix integration tests

* Refactor vision config + docs

* Fix default

* Refactor text config

* Doc fixes

* Remove unused args, fix docs example

* Squashed commit of the following:

commit b51ce5a2efffbecdefbf6fc92ee87372ec9d8830
Author: qubvel <qubvel@gmail.com>
Date:   Wed Sep 18 13:39:15 2024 +0000

    Move model + add output hidden states and output attentions

* Fix num_channels

* Add mllama text and mllama vision models

* Fixing repo consistency

* Style fix

* Fixing repo consistency

* Fixing unused config params

* Fix failed tests after refactoring

* hidden_activation -> hidden_act  for text mlp

* Remove from_pretrained from sub-configs

* Apply suggestions from code review

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

* Update src/transformers/models/mllama/convert_mllama_weights_to_hf.py

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

* Reuse lambda in conversion script

* Remove run.py

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

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

* Update src/transformers/models/mllama/processing_mllama.py

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

* Remove unused LlamaTokenizerFast

* Fix logging

* Refactor gating

* Remove cycle for collecting intermediate states

* Refactor text-only check, add integration test for text-only

* Revert from pretrained to configs

* Fix example

* Add auto `bos_token` adding in processor

* Fix tips

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

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

* Enable supports_gradient_checkpointing model flag

* add eager/sdpa options

* don't skip attn tests and bring back GC skips (did i really remove those?)

* Fix signature, but get error with None gradient

* Fix output attention tests

* Disable GC back

* Change no split modules

* Fix dropout

* Style

* Add Mllama to sdpa list

* Add post init for vision model

* Refine config for MllamaForCausalLMModelTest and skipped tests for CausalLM model

* if skipped, say it, don't pass

* Clean vision tester config

* Doc for args

* Update tests/models/mllama/test_modeling_mllama.py

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

* Add cross_attention_mask to test

* typehint

* Remove todo

* Enable gradient checkpointing

* Docstring

* Style

* Fixing and skipping some tests for new cache

* Mark flaky test

* Skip `test_sdpa_can_compile_dynamic` test

* Fixing some offload tests

* Add direct GenerationMixin inheritance

* Remove unused code

* Add initializer_range to vision config

* update the test to make sure we show if split

* fix gc?

* Fix repo consistency

* Undo modeling utils debug changes

* Fix link

* mllama -> Mllama

* [mllama] -> [Mllama]

* Enable compile test for CausalLM model (text-only)

* Fix TextModel prefix

* Update doc

* Docs for forward, type hints, and vision model prefix

* make sure to reset

* fix init

* small script refactor and styling

* nit

* updates!

* some nits

* Interpolate embeddings for 560 size and update integration tests

* nit

* does not suppor static cache!

* update

* fix

* nit2

* this?

* Fix conversion

* Style

* 4x memory improvement with image cache AFAIK

* Token decorator for tests

* Skip failing tests

* update processor errors

* fix split issues

* style

* weird

* style

* fix failing tests

* update

* nit fixing the whisper tests

* fix path

* update

---------

Co-authored-by: raushan <raushan@huggingface.co>
Co-authored-by: pavel <ubuntu@ip-10-90-0-11.ec2.internal>
Co-authored-by: qubvel <qubvel@gmail.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
2024-09-25 19:56:25 +02:00
Joao Gante
e15687fffe
Generation: deprecate PreTrainedModel inheriting from GenerationMixin (#33203) 2024-09-23 18:28:36 +01:00
Yih-Dar
077b552f07
Fix some missing tests in circleci (#33559)
* fix

* fix

* fix

* fix

* skip

* skip more

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-09-20 20:58:51 +02:00
Fanli Lin
b87755aa6d
[tests] skip tests for xpu (#33553)
* enable

* fix

* add xpu skip

* add marker

* skip for xpu

* add more

* add one more
2024-09-19 19:28:04 +01:00
Joao Gante
7542fac2c7
Pipeline: no side-effects on model.config and model.generation_config 🔫 (#33480) 2024-09-18 15:43:06 +01:00
Yoni Gozlan
d8500cd229
Uniformize kwargs for Pixtral processor (#33521)
* add uniformized pixtral and kwargs

* update doc

* fix _validate_images_text_input_order

* nit
2024-09-17 14:44:27 -04:00
Guang Yang
f38590dade
Make StaticCache configurable at model construct time (#32830)
* Make StaticCache configurable at model construct time

* integrations import structure

* add new doc file to toc

---------

Co-authored-by: Guang Yang <guangyang@fb.com>
Co-authored-by: Joao Gante <joao@huggingface.co>
2024-09-10 16:35:57 +01:00
Lysandre Debut
f24f084329
Import structure & first three model refactors (#31329)
* Import structure & first three model refactors

* Register -> Export. Export all in __all__. Sensible defaults according to filename.

* Apply most comments from Amy and some comments from Lucain

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

* Style

* Add comment

* Clearer .py management

* Raise if not in backend mapping

* More specific type

* More efficient listdir

* Misc fixes

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Lucain Pouget <lucainp@gmail.com>
2024-09-10 11:10:53 +02:00
Ita Zaporozhets
363301f221
support loading model without config.json file (#32356)
* support loading model without config.json file

* fix condition

* update tests

* add test

* ruff

* ruff

* ruff
2024-09-06 13:49:47 +02:00
Yoni Gozlan
9230d78e76
Add validate images and text inputs order util for processors and test_processing_utils (#33285)
* Add validate images and test processing utils

* Remove encoded text from possible inputs in tests

* Removed encoded inputs as valid in processing_utils

* change text input check to be recursive

* change text check to all element of lists and not just the first one in recursive checks
2024-09-04 13:50:31 -04:00
Alex Sherstinsky
122ded0a11
Bugfix/alexsherstinsky/fix none check for attention factor in rope scaling 2024 08 28 0 (#33188)
* Fixing a bug in the way "attention_factor" is validated in ROPE utilities.

* Fixing a bug in the way "attention_factor" is validated in ROPE utilities.

* Fixing a bug in the way "attention_factor" is validated in ROPE utilities.
2024-09-04 17:01:12 +02:00
Raushan Turganbay
ebbe8d8014
Cache docs: update (#32929)
* some changes

* more updates

* fix cache copy

* nits

* nits

* add tests
2024-09-04 15:05:31 +05:00
Gerben van V
5129671290
Add a static cache that offloads to the CPU or other device (#32161)
* Add a static cache that offloads to the CPU or other device

* Fix PR comments, add unit-tests
2024-08-29 11:51:09 +02:00
rasmi
f9ed05dd03
Fix import paths for test_module (#32888)
* Fix import path for test_feature_extraction_utils.py

See https://github.com/huggingface/transformers/pull/32601

* Fix import path for test_image_processing_utils.py
2024-08-28 12:08:29 +01:00
Joao Gante
ab0ac3b98f
CI: fix efficientnet pipeline timeout and prevent future similar issues due to large image size (#33123)
* fix param not being passed in tested; add exceptions

* better source of model name

* Update utils/create_dummy_models.py

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

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-08-27 11:58:27 +01:00
Joao Gante
72d4a3f9c1
mps: add isin_mps_friendly, a wrapper function for torch.isin (#33099) 2024-08-26 15:34:19 +01:00
Joao Gante
970a16ec7f
Forbid PretrainedConfig from saving generate parameters; Update deprecations in generate-related code 🧹 (#32659)
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-08-23 11:12:53 +01:00
Zach Mueller
8ec028aded
Reduce the error log when using core models that need their weights renamed, and provide a step forward (#32656)
* Fin

* Modify msg

* Finish up nits
2024-08-16 13:05:57 -04:00
Joao Gante
cf32ee1753
Cache: use batch_size instead of max_batch_size (#32657)
* more precise name

* better docstrings

* Update src/transformers/cache_utils.py

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

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-08-16 11:48:45 +01:00
Sai-Suraj-27
df323476a3
fix: Fixed failing tests in tests/utils/test_add_new_model_like.py (#32678)
* Fixed failing tests in tests/utils/test_add_new_model_like.py

* Fixed formatting using ruff.

* Small nit.
2024-08-14 12:06:17 +01:00
Sai-Suraj-27
c3cd9d807e
Fix: Fixed directory path for utils folder in test_tokenization_utils.py (#32601)
* Removed un-necessary expressions.

* Fixed directory path for utils folder in test_tokenization_utils.py
2024-08-13 16:48:15 +01:00
Pablo Montalvo
a5a8291ad1
Fix tests (#32649)
* skip failing tests

* [no-filter]

* [no-filter]

* fix wording catch in FA2 test

* [no-filter]

* trigger normal CI without filtering
2024-08-13 09:46:21 +01:00
Lysandre Debut
29c3a0fa01
Automatically add transformers tag to the modelcard (#32623)
* Automatically add `transformers` tag to the modelcard

* Specify library_name and test
2024-08-13 07:59:01 +02:00
Quentin Gallouédec
f1c8542ff7
"to be not" -> "not to be" (#32636)
* "to be not" -> "not to be"

* Update sam.md

* Update trainer.py

* Update modeling_utils.py

* Update test_modeling_utils.py

* Update test_modeling_utils.py
2024-08-12 20:20:17 +01:00
Sai-Suraj-27
ce4b28830a
fix: Fixed failing test_find_base_model_checkpoint (#32638)
Fixed failing test_find_base_model_checkpoint.
2024-08-12 19:51:30 +01:00
Guang Yang
0164560353
Fixed test test_static_cache_exportability with torch 2.4.0 (#32516)
Workaround the export issue in torch 2.4

Co-authored-by: Guang Yang <guangyang@fb.com>
2024-08-08 18:13:40 +01:00
amyeroberts
7e5d46ded4
Respect the config's attn_implementation if set (#32383)
* Respect the config's attn if set

* Update test - can override in from_config

* Fix
2024-08-05 16:33:19 +01:00
Joao Gante
083e13b7c4
RoPE: Add numerical tests (#32380)
tests! :D
2024-08-02 09:39:45 +01:00