GitLab

* move scaling to nn.Module

* let the test be here for now (need to fix)

* failing tests

* last failing models

* Revert commit 4c14817f38

* clean-up

* oops forgot

* codestyle

* raise NotImplemented when possible

* Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* skip tests in respective modeling files

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

* [test_all] Remove static pretrained maps from the library's internals

* Deprecate archive maps instead of removing them

* Revert init changes

* [test_all] Deprecate instead of removing

* [test_all] PVT v2 support

* [test_all] Tests should all pass

* [test_all] Style

* Address review comments

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

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

* [test_all] trigger tests

* [test_all] LLAVA

* [test_all] Bad rebase

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

* Update deprecated torch.range

* Remove comment

* CI with layers=2

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

* Add PipelineTesterMixin

* remove class PipelineTestCaseMeta

* move validate_test_components

* Add for ViT

* Add to SPECIAL_MODULE_TO_TEST_MAP

* style and quality

* Add feature-extraction

* update

* raise instead of skip

* add tiny_model_summary.json

* more explicit

* skip tasks not in mapping

* add availability check

* Add Copyright

* A way to diable irrelevant tests

* update with main

* remove disable_irrelevant_tests

* skip tests

* better skip message

* better skip message

* Add all pipeline task tests

* revert

* Import PipelineTesterMixin

* subclass test classes with PipelineTesterMixin

* Add pipieline_model_mapping

* Fix import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix one more import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix test issues

* Fix import requirements

* Fix mapping for MobileViTModelTest

* Update

* Better skip message

* pipieline_model_mapping could not be None

* Remove some PipelineTesterMixin

* Fix typo

* revert tests_fetcher.py

* update

* rename

* revert

* Remove PipelineTestCaseMeta from ZeroShotAudioClassificationPipelineTests

* style and quality

* test fetcher for all pipeline/model tests

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

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* part 1

* part 2

* part 3

* fix

* For CANINE

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

* move test model folders (TODO: fix imports and others)

* fix (potentially partially) imports (in model test modules)

* fix (potentially partially) imports (in tokenization test modules)

* fix (potentially partially) imports (in feature extraction test modules)

* fix import utils.test_modeling_tf_core

* fix path ../fixtures/

* fix imports about generation.test_generation_flax_utils

* fix more imports

* fix fixture path

* fix get_test_dir

* update module_to_test_file

* fix get_tests_dir from wrong transformers.utils

* update config.yml (CircleCI)

* fix style

* remove missing imports

* update new model script

* update check_repo

* update SPECIAL_MODULE_TO_TEST_MAP

* fix style

* add __init__

* update self-scheduled

* fix add_new_model scripts

* check one way to get location back

* python setup.py build install

* fix import in test auto

* update self-scheduled.yml

* update slack notification script

* Add comments about artifact names

* fix for yolos
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* Upgrade black to version ~=22.0

* Check copies

* Fix code

* Expose get_config() on ModelTesters

* Typo

* consistent nn. and nn.functional: p3 templates

* restore

* Replace legacy torch.Tensor constructor with torch.{tensor, empty}

* Remove torch.Tensor in examples

* IBertConfig, IBertTokentizer added

* IBert Model names moified

* tokenizer bugfix

* embedding -> QuantEmbedding

* quant utils added

* quant_mode added to configuration

* QuantAct added, Embedding layer + QuantAct addition

* QuantAct added

* unused path removed, QKV quantized

* self attention layer all quantized, except softmax

* temporarl commit

* all liner layers quantized

* quant_utils bugfix

* bugfix: requantization missing

* IntGELU added

* IntSoftmax added

* LayerNorm implemented

* LayerNorm implemented all

* names changed: roberta->ibert

* config not inherit from ROberta

* No support for CausalLM

* static quantization added, quantize_model.py removed

* import modules uncommented

* copyrights fixed

* minor bugfix

* quant_modules, quant_utils merged as one file

* import * fixed

* unused runfile removed

* make style run

* configutration.py docstring fixed

* refactoring: comments removed, function name fixed

* unused dependency removed

* typo fixed

* comments(Copied from), assertion string added

* refactoring: super(..) -> super(), etc.

* refactoring

* refarctoring

* make style

* refactoring

* cuda -> to(x.device)

* weight initialization removed

* QuantLinear set_param removed

* QuantEmbedding set_param removed

* IntLayerNorm set_param removed

* assert string added

* assertion error message fixed

* is_decoder removed

* enc-dec arguments/functions removed

* Converter removed

* quant_modules docstring fixed

* conver_slow_tokenizer rolled back

* quant_utils docstring fixed

* unused aruments e.g. use_cache removed from config

* weight initialization condition fixed

* x_min, x_max initialized with small values to avoid div-zero exceptions

* testing code for ibert

* test emb, linear, gelu, softmax added

* test ln and act added

* style reformatted

* force_dequant added

* error tests overrided

* make style

* Style + Docs

* force dequant tests added

* Fix fast tokenizer in init

* Fix doc

* Remove space

* docstring, IBertConfig, chunk_size

* test_modeling_ibert refactoring

* quant_modules.py refactoring

* e2e integration test added

* tokenizers removed

* IBertConfig added to tokenizer_auto.py

* bugfix

* fix docs & test

* fix style num 2

* final fixes
Co-authored-by: Sehoon Kim <sehoonkim@berkeley.edu>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>