GitLab

* add torch_dtype attribute to Pipeline

* Use torch_dtype to cast input tensor type in AutomaticSpeechRecognitionPipeline

* Fix code quality

* Add TextGenerationPipeline fp16 test

* Fix code quality

* Remove useless require in tests
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* torch.jit._state

* Fix past CI

* Fix for perceiver

* Fix REALM

* Fix for Bloom

* Fix for SwinMode

* Fix for TrajectoryTransformerModel

* Fix for test_wav2vec2_with_lm

* make style
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

get correct checkpoint

* Supporting `fp16` for asr pipeline

* Adding test.

* Style.

* Oops.

* Flake8 update ?

* Fixing flake8 ?

* Revert "Flake8 update ?"

This reverts commit 0b917fcb520e5f34d1933d9d37d8f32b64553048.

* Style (acctidentally deleted flake8 F401.)

* Move to a bigger test (no small whisper model, and s2t doesn't seem to
accept torch_dtype=fp16).

Also we need to use a GPU to actually compute on fp16.

* Using BatchFeature capability.

poolformer onnx
Co-authored-by: syed <syed.abdul@sandlogic.com>

* fix typo `onnx`

* fix test

fix ci
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix past CI

* Fix past CI
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Adds visual_prompt argument to CLIPSegProcessor to enable image-guided segmentation

* add new model like

* add v1

* v1

* v1

* vision encoder logits match

* v2

* fix

* add docstring

* CI tests pass

* fix tests

* make fixup

* add to `toctree`

* fix processors

* fix processors

* fix doc

* fill title

* add content doc

* remove from tokenization auto

* fix config

* change order

* add `# Copied from`

* few fixes

- add correct license on modeling text
- remove dummy argument

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* replace name

* refactor a bit

* more refactor

* remove unused arg

* make fixup + remove some `# Adapted from ...`

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* more `# Copied from`

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* now `generate` supports no prefix

* remove `FeatureExtractor`

* fix path

* correct dependency

* fix tests

* few fixes

* add integration tests

* add correct conversion script

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add `blip` to tokenization auto

* fix docstrings

* fix test + add image

* remove processor from uncorrect place

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* clean up a bit

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* clean pixel mask

* clean pixel mask

* fix `F`

* Update src/transformers/models/blip/modeling_blip.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix output

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix pad token id

* remove `token_type_ids`

* make fixup

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* make fixup

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add comments

* Update src/transformers/models/blip/modeling_blip.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* remove `token_type_ids`

* make fixup

* better name

* replace with `image_attention_mask`

* refactor

* make fixup

* better docstring

* replace `answer_xx`

* remove ununsed args

* add `labels`

* add `labels`

* fix processing tests

* make fixup

* make fixup

* put correct repo

* remove `pad`

* remove `crop` and `center_crop`

* Update src/transformers/models/blip/image_processing_blip.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix

* remove `size_divisor`

* fix weights `init`

* remove unneeded functions

* add suggestions

* minor changes

- change slow test output for PT 1.13
- docstring order

* replace `feature_extractor` by `image_processor`

* fix doctests

* fix weight init order + add fp16 slow test

* add `blip` to doctest

* add correct repo name and fix test

* Update src/transformers/models/blip/processing_blip.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix tests

* use `convert_to_rgb` from `image_transforms`

* make fixup

* fix large loading issue
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add support for binary segmentation

* Fix loss calculation and add test

* Remove space

* use fstring
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

* Fix typo

* Update README.md

* Update run_mlm_flax_stream.py

* Update README.md

fix typo output not ouput

typo was causing an error on pytest collection

* Copy RoBERTa

* formatting

* implement RoBERTa with prelayer normalization

* update test expectations

* add documentation

* add convertion script for DinkyTrain weights

* update checkpoint repo

Unfortunately the original checkpoints assumes a hacked roberta model

* add to RoBERTa-PreLayerNorm docs to toc

* run utils/check_copies.py

* lint files

* remove unused import

* fix check_repo reporting wrongly a test is missing

* fix import error, caused by rebase

* run make fix-copies

* add RobertaPreLayerNormConfig to ROBERTA_EMBEDDING_ADJUSMENT_CONFIGS

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

* fixup: Fix documentation <Facebook> -> Facebook
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Add missing Flax header
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

* update copies after rebase

* add missing copied from statements

* make fix-copies

* make prelayernorm explicit in code

* fix checkpoint path for the original implementation

* add flax integration tests

* improve docs

* update utils/documentation_tests.txt

* lint files

* Remove Copyright notice
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* make fix-copies

* Remove EXPECTED_SLICE calculation comments
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* First draft

* Add more improvements

* Improve forward pass

* Fix layernorm

* Add upscaler

* More improvements

* More improvements

* More improvements

* Improve conversion script

* Add preprocessing

* Make output match original implementation

* Add additional attributes

* Add support for more models

* Support more models

* Add support for real world sr

* Add initial Swin2SRFeatureExtractor

* Add ImageSuperResolutionOutput

* Make more tests pass

* Use BaseModelOutput

* Fix one more test

* Fix more tests

* Fix another test

* Fix all tests

* Rename to Swin2SRImageProcessor

* Fix toctree

* Fix toctree

* Fix rebase

* Improve Swin2SRImageProcessor

* Remove feature extractor file

* Improve model

* Improve conversion script

* Fix integration test

* Fix init

* Fix conversion script

* Address comments

* Improve upsampler

* Add NearestConvUpsampler

* Improve pixel shuffle upsampler

* Improve auxiliary upsampler

* Improve conversion script

* Rename conv_last to final_convolution

* Fix rebase

* Improve upsample module

* Add padding to image processor

* Fix bug

* Update padding

* Remove print statement and fix integration test

* Improve docs

* Add image processor tests

* Convert all checkpoints, fix testsé

* Remove print statements

* Fix import
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Revert "Fixing object detection with `layoutlm` (#20776)"

This reverts commit fca66abe.

* Better fix for layoutlm object detection.

* Style.

skip feature extraction test if in `IMAGE_PROCESSOR_MAPPING`

* Move convert_to_rgb to image_transforms module

* Fix tests

* generate from config mvp

* fix failing tests

* max_time test

* Load default gen config at model load time; Update docs

* further documentation; add tests

* adapt rag to the new structure

* handle models not instantiated with from_pretained (like in tests)

* better default generation config

* add can_generate fn

* handle legacy use case of ad hoc model config changes

* initialize gen config from config in individual methods, if gen config is none

* fix _get_decoder_start_token_id when called outside GenerationMixin

* correct model config load order (set attr > model config > decoder config)

* update rag to match latest changes

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* load gen config from model config in model.from_pretrained

* fix can_generate fn

* handle generate calls without a previous from_pretrained (e.g. tests)

* add legacy behavior (and a warning)

* lower logger severity
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fixing object detection with layoutlm.

* Fixup.

fix failing `pipeline` test

* Even more validation.

* Fixing order.

* Add Swin backbone

* Remove line

* Add code example
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* weight -> weights

* model embedding resize does not work with both v2 and noraml

* remove useless test

* Improve tests

* Improve TF tests

* Apply suggestion

* Fix test
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Add first draft

* Add out_features attribute to config

* Add corresponding test

* Add Dinat backbone

* Add BackboneMixin

* Add Backbone mixin, improve tests

* Fix embeddings

* Fix bug

* Improve backbones

* Fix Nat backbone tests

* Fix Dinat backbone tests

* Apply suggestions
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Fix the pipeline test regarding TF

* Fix the pipeline test regarding TF

* update comment
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add `keep_in_fp32_modules` support

* pass it as class attribute

* few modifs

- make tests `slow`
- fix logic

* better logic

* fix failing test

* `bfloat16` support

* Update src/transformers/modeling_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix

* simplify tests

* simplify tests

* fix test

* modify message

* more checks

* fix failing tests

* add more conditions

- add `is_accelerate_available`
- fixes pipleine tests that failed

* add suggestions

* Update src/transformers/modeling_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix failing `bnb` test

* add last safety checker
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add decorator for flaky tests

* Fix up

* Add templates for gpt-sw3

* Add templates for gpt-sw3

* Added sentencepiece tokenizer

* intermediate commit with many changes

* fixed conflicts

* Init commit for tokenization port

* Tokenization progress

* Remove fast tokenizer

* Clean up and rename spm.model -> spiece.model

* Remove TF -> PT conversion script template, Clean up Megatron -> PT script

* Optimize encode & decode performance

* added new attention

* added new attention

* attention for gpt-sw3 working

* attention good

* Cache is now working

* fixed attention mask so that it works with causal attention

* fixed badbmm bug for cpu and caching

* updated config with correct parameters

* Refactor and leave optimizations as separate functions to avoid breaking expected functionality

* Fix special tokens mapping for both tokenizers

* cleaning up of code and comments

* HF compatible attention outputs

* Tokenizer now passing tests, add documentation

* Update documentation

* reverted back to base implementation after checking that it is identical to pretrained model

* updated gpt-sw3 config

* updated conversion script

* aligned parameters with gpt-sw3 config

* changed default scale_attn_by_inverse_layer_idx to true

* removed flag from conversion script

* added temporary model path

* reverted back to functioning convert script

* small changes to default config

* updated tests for gpt-sw3

* make style, make quality, minor cleanup

* Change local paths to testing online repository

* Change name: GptSw3 -> GPTSw3

* Remove GPTSw3TokenizerFast references

* Use official model repository and add more model sizes

* Added reference to 6.7b model

* Add GPTSw3DoubleHeadsModel to IGNORE_NON_AUTO_CONFIGURED, like GPT2DoubleHeadsModel

* Remove pointers to non-existing TFGPTSw3

* Add GPTSw3 to docs/_toctree.yml

* Remove TF artifacts from GPTSw3 in __init__ files

* Update README:s with 'make fix-copies'

* Add 20b model to archive list

* Add documentation for GPT-Sw3

* Fix typo in documentation for GPT-Sw3

* Do 'make fix-copies' again after having updated docs

* Fix some typos in docs

* Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update tests/models/gpt_sw3/test_tokenization_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Resolve comments from PR feedback

* Resolve more comments from PR feedback, also set use_cache=True in convert script

* Add '# Copied from' comments for GPTSw3 modeling

* Set 'is_parallelizable = False'

* Remove '# Copied from' where code was modified and add 'with x->y' when appropriate

* Remove parallelize in mdx

* make style, make quality

* Update GPTSw3Config default values and corresponding documentation

* Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/__init__.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Clean up and protect GPTSw3Tokenizer imports with is_sentencepiece_available

* Make style, make quality

* Add dummy object for GPTSw3Tokenizer via 'make fix-copies'

* make fix-copies

* Remove GPTSw3 modeling classes

* make style, make quality

* Add GPTSw3 auto-mappings for other GPT2 heads

* Update docs/source/en/model_doc/gpt-sw3.mdx
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Remove old TODO-comment

* Add example usage to GPTSw3Tokenizer docstring

* make style, make quality

* Add implementation details and example usage to gpt-sw3.mdx
Co-authored-by: JoeyOhman <joeyoh@kth.se>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Replace FE references with IPs

* Update processor tests

* Update src/transformers/models/clip/processing_clip.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/clip/processing_clip.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update warning messages v4.27 -> v5

* Fixup

* Update Chinese CLIP processor

* Add feature_extractor property

* Add attributes

* Add tests
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Improve ResNet backbone

* Improve Bit backbone

* Improve docstrings

* Fix default stage

* Apply suggestions from code review
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* 🚧 wip video classification pipeline

* 🚧 wip - add is_decord_available check

* 🐛 add missing import

* ✅ add tests

* 🔧 add decord to setup extras

* 🚧 add is_decord_available

* ✨ add video-classification pipeline

* 📝 add video classification pipe to docs

* 🐛 add missing VideoClassificationPipeline import

* 📌 add decord install in test runner

* ✅ fix url inputs to video-classification pipeline

* ✨ updates from review

* 📝 add video cls pipeline to docs

* 📝 add docstring

* 🔥 remove unused import

* 🔥 remove some code

* 📝 docfix

* Create test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* fix donut image processor

* Update test values

* Apply lower bound on resizing size

* Add in missing size param

* Resolve resize channel_dimension bug

* Update src/transformers/image_transforms.py

* fix failing `accelerate` tests

* make fixup

* smaller values

* even lower