GitLab

* add group vit and fixed test (except slow)

* passing slow test

* addressed some comments

* fixed test

* fixed style

* fixed copy

* fixed segmentation output

* fixed test

* fixed relative path

* fixed copy

* add ignore non auto configured

* fixed docstring, add doc

* fixed copies

* Apply suggestions from code review

merge suggestions
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* resolve comment, renaming model

* delete unused attr

* use fix copies

* resolve comments

* fixed attn

* remove unused vars

* refactor tests

* resolve final comments

* add demo notebook

* fixed inconsitent default

* Apply suggestions from code review
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>

* rename stage->stages

* Create single GroupViTEncoderLayer class

* Update conversion script

* Simplify conversion script

* Remove cross-attention class in favor of GroupViTAttention

* Convert other model as well, add processor to conversion script

* addressing final comment

* fixed args

* Update src/transformers/models/groupvit/modeling_groupvit.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Support for Bart and LayoutLM, and partial support for XLNet

* Support for mbart

* A lot of new models supported

* Support for other models

* LayoutLM fix

* Use strings instead of classes

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

* 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>

* Update test_pt_tf_model_equivalence on PT side
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* update _create_and_check_torchscript

* Enable test_torchscript

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

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* override from_pretrained

* add tests

* remove docstrings

* fix typo

* Trigger CI

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

* Fix model equivalence tests

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

* Start the work for TFCLIPModel

* Convert to TF code (TODO: loss + doc)

* Clean up

* Fix pooled_output for TFCLIPTextTransformer - using tf.gather_nd

* assert -> raise error

* Expose TFCLIPModel

* Deal with dummy_inputs

* Add tests

* Fix all tests. TODO: manual check weight loading + add more comments

* Fix pt tf equivalence test

* fixes

* update TFCLIPVisionEmbeddings's Conv2D

* Fix loss + overwrite test_pt_tf_model_equivalence from common

* Add a comment about the change about MainLayer in test_keras_save_load

* Set return_loss=True in TFCLIPModelTester + make tests pass

* overwrite test_pt_tf_model_equivalence from tf common

* fix base_model_prefix

* Fix examples

* remove unused

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

* apply review suggestions

* change self.pre_layrnorm to self.pre_layernorm

* apply more review suggestions

* return attention probs before dropout (to align with PT)

* fix weight init

* fix

* build doc

* fix missing doc

* fix for test
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* up

* up

* up

* up

* up

* up

* up

* add clip

* fix clip PyTorch

* fix clip PyTorch

* up

* up

* up

* up

* up

* up

* up

* fix logit_scale init

* add logit_scale_init_value as config param

* Expose get_config() on ModelTesters

* Typo

* consistent nn. and nn.functional: p3 templates

* restore

* Resize with kept aspect ratio

* Fixed failed test

* Overload center_crop and resize methods instead

* resize should handle non-PIL images

* update slow test

* Tensor => tensor
Co-authored-by: patil-suraj <surajp815@gmail.com>

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

* Remove torch.Tensor in examples

* begin second draft

* fix import, style

* add loss

* fix embeds, logits_scale, and projection

* fix imports

* add conversion script

* add feature_extractor and processor

* style

* add tests for tokenizer, extractor and processor

* add vision model tests

* add weight init

* add more tests

* fix save_load  test

* model output, dosstrings, causal mask

* config doc

* add clip model tests

* return dict

* bigin integration test

* add integration tests

* fix-copies

* fix init

* Clip => CLIP

* fix module name

* docs

* fix doc

* output_dim => projection_dim

* fix checkpoint names

* remoe fast tokenizer file

* fix conversion script

* fix tests, quality

* put causal mask on device

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

* fix attribute test

* style

* address sylvains comments

* style

* fix docstrings

* add qucik_gelu in activations, docstrings

* clean-up attention test

* fix act fun

* fix config

* fix torchscript tests

* even batch_size

* remove comment

* fix ouput tu_tuple

* fix save load tests

* fix add tokens test

* add fast tokenizer

* update copyright

* new processor API

* fix docs

* docstrings

* docs

* fix doc

* fix doc

* fix tokenizer

* fix import in doc example

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

* check types of config

* valhalla => openai

* load image using url

* fix test

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