Commit Graph

381 Commits

Author SHA1 Message Date
Kashif Rasul
5cd16f01db
time series forecasting model (#17965)
* initial files

* initial model via cli

* typos

* make a start on the model config

* ready with configuation

* remove tokenizer ref.

* init the transformer

* added initial model forward to return dec_output

* require gluonts

* update dep. ver table and add as extra

* fixed typo

* add type for prediction_length

* use num_time_features

* use config

* more config

* typos

* opps another typo

* freq can be none

* default via transformation is 1

* initial transformations

* fix imports

* added transform_start_field

* add helper to create pytorch dataloader

* added inital val and test data loader

* added initial distr head and loss

* training working

* remove TimeSeriesTransformerTokenizer

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/__init__.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fixed copyright

* removed docs

* remove time series tokenizer

* fixed docs

* fix text

* fix second

* fix default

* fix order

* use config directly

* undo change

* fix comment

* fix year

* fix import

* add additional arguments for training vs. test

* initial greedy inference loop

* fix inference

* comment out token inputs to enc dec

* Use HF encoder/decoder

* fix inference

* Use Seq2SeqTSModelOutput output

* return Seq2SeqTSPredictionOutput

* added default arguments

* fix return_dict true

* scale is a tensor

* output static_features for inference

* clean up some unused bits

* fixed typo

* set return_dict if none

* call model once for both train/predict

* use cache if future_target is none

* initial generate func

* generate arguments

* future_time_feat is required

* return SampleTSPredictionOutput

* removed unneeded classes

* fix when params is none

* fix return dict

* fix num_attention_heads

* fix arguments

* remove unused shift_tokens_right

* add different dropout configs

* implement FeatureEmbedder, Scaler and weighted_average

* remove gluonts dependency

* fix class names

* avoid _variable names

* remove gluonts dependency

* fix imports

* remove gluonts from configuration

* fix docs

* fixed typo

* move utils to examples

* add example requirements

* config has no freq

* initial run_ts_no_trainer

* remove from ignore

* fix output_attentions and removed unsued getters/setters

* removed unsed tests

* add dec seq len

* add test_attention_outputs

* set has_text_modality=False

* add config attribute_map

* make style

* make fix-copies

* add encoder_outputs to TimeSeriesTransformerForPrediction forward

* Improve docs, add model to README

* added test_forward_signature

* More improvements

* Add more copied from

* Fix README

* Fix remaining quality issues

* updated encoder and decoder

* fix generate

* output_hidden_states and use_cache are optional

* past key_values returned too

* initialize weights of distribution_output module

* fixed more tests

* update test_forward_signature

* fix return_dict outputs

* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

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

* removed commented out tests

* added neg. bin and normal output

* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* move to one line

* Add docstrings

* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add try except for assert and raise

* try and raise exception

* fix the documentation formatting

* fix assert call

* fix docstring formatting

* removed input_ids from DOCSTRING

* Update input docstring

* Improve variable names

* Update order of inputs

* Improve configuration

* Improve variable names

* Improve docs

* Remove key_length from tests

* Add extra docs

* initial unittests

* added test_inference_no_head test

* added test_inference_head

* add test_seq_to_seq_generation

* make style

* one line

* assert mean prediction

* removed comments

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix order of args

* make past_observed_mask optional as well

* added Amazon license header

* updated utils with new fieldnames

* make style

* cleanup

* undo position of past_observed_mask

* fix import

* typo

* more typo

* rename example files

* remove example for now

* Update docs/source/en/_toctree.yml

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

* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

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

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

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

* Update modeling_time_series_transformer.py

fix style

* fixed typo

* fix typo and grammer

* fix style

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: NielsRogge <niels.rogge1@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-09-30 15:32:59 -04:00
NielsRogge
f3d2f7a6e0
Add MarkupLM (#19198)
* First draft

* Make basic test work

* Fix most tokenizer tests

* More improvements

* Make more tests pass

* Fix more tests

* Fix some code quality

* Improve truncation

* Implement feature extractor

* Improve feature extractor and add tests

* Improve feature extractor tests

* Fix pair_input test partly

* Add fast tokenizer

* Improve implementation

* Fix rebase

* Fix rebase

* Fix most of the tokenizer tests.

* propose solution for fast

* add: integration test for fasttokenizer, warning for decode, fix template in slow tokenizer

* add: modify markuplmconverter

* add: some modify on converter and tokenizerfast

* Fix style, copies

* Make fixup

* Update tokenization_markuplm.py

* Update test_tokenization_markuplm.py

* Update markuplm related

* Improve processor, add integration test

* Add processor test file

* Improve processor

* Improve processor tests

* Fix more processor tests

* Fix processor tests

* Update docstrings

* Add Copied from statements

* Add more Copied from statements

* Add code examples

* Improve code examples

* Add model to doc tests

* Adding dependency check

* Add dummy file

* Add requires_backends

* Add model to toctree

* Fix more things, disable dependency check for now

* Apply more suggestions

* Add soft dependency

* Add annotators to tests

* Fix style

* Remove from_slow=True

* Remove print statements

* Add sanity check

* Fix processor test

* Fix processor tests, add more docs

* Add doc tests for mdx file

* Add more tips

* Apply suggestions

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: lockon-n <45759388+lockon-n@users.noreply.github.com>
Co-authored-by: SaulLu <lucilesaul.com@gmail.com>
Co-authored-by: lockon-n <dd098309@126.com>
2022-09-30 08:25:43 +02:00
Yih-Dar
1a1893e5d8
Update Past CI report script (#19228)
* Simplify the error report

* Add status placeholder

* Add job links

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-09-29 19:22:23 +02:00
Aritra Roy Gosthipaty
0dc7b3a785
[TensorFlow] Adding GroupViT (#18020)
* chore: initial commit

* chore: adding util methods

yet to work on the nn.functional.interpolate port with align_corener=True

* chore: refactor the utils

* used tf.compat.v1.image.resize to align the F.interpolate function
* added type hints to the method signatures
* added references to the gists where one 2 one alignment of torch and tf has been shown

* chore: adding the layers

* chore: porting all the layers from torch to tf

This is the initial draft, nothing is tested yet.

* chore: aligning the layers with reference to tf clip

* chore: aligning the modules

* added demaraction comments
* added copied and adapted from comments

* chore: aligning with CLIP

* chore: wrangling the layers to keep it tf compatible

* chore: aligning the names of the layers for porting

* chore: style changes

* chore: adding docs and inits

* chore: adding tfp dependencis

the code is taken from TAPAS

* chore: initial commit for testing

* chore: aligning the vision embeddings with the vit implementatino

* chore: changing model prefix

* chore: fixing the name of the model and the layer normalization test case

* chore: every test passes but the slow ones

* chore: fix style and integration test

* chore: moving comments below decorators

* chore: make fixup and fix-copies changes

* chore: adding the Vision and Text Model to check_repo

* chore: modifying the prefix name to align it with the torch implementation

* chore: fix typo in configuration

* choer: changing the name of the model variable

* chore: adding segmentation flag

* chore: gante's review

* chore: style refactor

* chore: amy review

* chore: adding shape_list to parts that have been copied from other snippets

* chore: init batchnorm with torch defaults

* chore: adding shape_list to pass the tests

* test fix: adding seed as 0

* set seed

* chore: changing the straight through trick to fix -ve dimensinos

* chore: adding a dimension to the loss

* chore: adding reviewers and contributors names to the docs

* chore: added changes after review

* chore: code quality fixup

* chore: fixing the segmentation snippet

* chore: adding  to the layer calls

* chore: changing int32 to int64 for inputs of serving

* chore: review changes

* chore: style changes

* chore: remove from_pt=True

* fix: repo consistency

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-09-29 10:48:04 +01:00
Sylvain Gugger
a32f97c37d
Fix cached_file in offline mode for cached non-existing files (#19206)
* Fix cached_file in offline mode for cached non-existing files

* Add tests

* Test with offline mode
2022-09-26 18:01:00 -04:00
Yih-Dar
0cea8d5555
Add offline runners info in the Slack report (#19169)
* send slack report for offline runners

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-09-23 19:23:05 +02:00
Steven Anton
49bf569830
Add doctests to Perceiver examples (#19129)
* Fix bug in example and add to tests

* Fix failing tests

* Check the size of logits

* Code style

* Try again...

* Add expected loss for PerceiverForMaskedLM doctest

Co-authored-by: Steven Anton <antonstv@amazon.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-09-23 19:19:35 +02:00
NielsRogge
cf6308ef9b
Improve conditional detr docs (#19154)
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-09-22 13:21:05 +02:00
Sayak Paul
2d9853b226
MSN (Masked Siamese Networks) for ViT (#18815)
* feat: modeling and conversion scripts for msn.

* chore: change license year.

* chore: remove unneeded modules.

* feat: direct loading of state_dict from remote url.

* fix: import paths.

* add: rest of the files.

* add and fix rest of the files.

Co-authored-by: Niels <niels.rogge1@gmail.com>

* chore: formatting.

* code quality fix.

* chore: remove pooler.

* feat: add classification top.

* fix: configuration object.

* add: initial test cases (one failing).

* fix: basemodeloutput.

* add: caution on using the classification head.

* add: rest of the model related files.

* add: vit msn readme.

* fix: copied from statement.

* fix: dummy objects.

* add: ViTMSNPreTrainedModel to inits.

* fix: repo consistency.

* minor change in the model doc.

* fix: tests.

* Empty-Commit

* Update src/transformers/models/vit_msn/configuration_vit_msn.py

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

* address PR comments.

* Update src/transformers/models/vit_msn/modeling_vit_msn.py

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

* chore: put model in no_grad() and formatting.

Co-authored-by: Niels <niels.rogge1@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2022-09-22 07:15:03 -04:00
DepuMeng
126a739058
Add support for conditional detr (#18948)
* added conditional_detr files

* checked copies

* checked copies

* fixed style and copies

* fixed style and copies

* fixed hub

* fixed style

* Update README.md

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/_toctree.yml

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/index.mdx

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/conditional_detr.mdx

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fixed some doc issue

* changed prefix to ConditionalDetr

* fixed docs

* Update README_ko.md

* added spatial_model_name

* fixed fix-copies

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* added some copied from

* added some copied from

* added some copied from

* added some copied from

* fixed use_pretrained issue

* changed post-process

* added conditional_detr files

* checked copies

* checked copies

* fixed style and copies

* fixed style and copies

* fixed hub

* fixed style

* Update README.md

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* Update docs/source/en/_toctree.yml

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* Update docs/source/en/index.mdx

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* fixed some doc issue

* Update docs/source/en/model_doc/conditional_detr.mdx

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* changed prefix to ConditionalDetr

* fixed docs

* Update README_ko.md

* added spatial_model_name

* fixed fix-copies

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* added some copied from

* added some copied from

* added some copied from

* added some copied from

* fixed use_pretrained issue

* changed post-process

* fix style quality and copies

* fix style quality and copies

* fix style quality and copies

* fix style quality and copies

* add more fix-copies

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fixed some variable names & added more fix-copies

* fixed some variable names & added more fix-copies

* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* added more copied from

* fixed quality

* changed pretrained config

* added more copied-from and fixed the issue in feature_extraction_auto

* added conditional_detr files

* checked copies

* checked copies

* fixed style and copies

* fixed style and copies

* fixed hub

* fixed style

* Update README.md

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* Update docs/source/en/_toctree.yml

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* Update docs/source/en/index.mdx

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* fixed some doc issue

* Update docs/source/en/model_doc/conditional_detr.mdx

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* changed prefix to ConditionalDetr

* fixed docs

* Update README_ko.md

* added spatial_model_name

* fixed fix-copies

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* added some copied from

* added some copied from

* added some copied from

* added some copied from

* fixed use_pretrained issue

* changed post-process

* added conditional_detr files

* checked copies

* fixed style and copies

* fixed some doc issue

* changed prefix to ConditionalDetr

* fixed docs

* added spatial_model_name

* fixed fix-copies

* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* added some copied from

* added some copied from

* added some copied from

* added some copied from

* fix style quality and copies

* fix style quality and copies

* fix style quality and copies

* add more fix-copies

* fixed some variable names & added more fix-copies

* fixed some variable names & added more fix-copies

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* added more copied from

* fixed quality

* changed pretrained config

* added more copied-from and fixed the issue in feature_extraction_auto

* fixed style

* added conditional_detr files

* checked copies

* checked copies

* fixed style and copies

* fixed style and copies

* fixed hub

* fixed style

* Update README.md

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* Update docs/source/en/_toctree.yml

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* Update docs/source/en/index.mdx

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* fixed some doc issue

* Update docs/source/en/model_doc/conditional_detr.mdx

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

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* changed prefix to ConditionalDetr

* fixed docs

* Update README_ko.md

* added spatial_model_name

* fixed fix-copies

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* added some copied from

* added some copied from

* added some copied from

* added some copied from

* fixed use_pretrained issue

* changed post-process

* added conditional_detr files

* checked copies

* fixed style and copies

* fixed some doc issue

* changed prefix to ConditionalDetr

* fixed docs

* added spatial_model_name

* fixed fix-copies

* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* added some copied from

* added some copied from

* added some copied from

* added some copied from

* fix style quality and copies

* fix style quality and copies

* fix style quality and copies

* add more fix-copies

* fixed some variable names & added more fix-copies

* fixed some variable names & added more fix-copies

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* added more copied from

* fixed quality

* changed pretrained config

* added more copied-from and fixed the issue in feature_extraction_auto

* rebased

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Depu Meng <depumeng@Depus-MacBook-Pro.local>
2022-09-22 09:45:04 +02:00
Sylvain Gugger
3c7b965bcd
Add some tests for check_dummies (#19146) 2022-09-21 14:54:09 -04:00
Sylvain Gugger
451df725d6
Fix dummy creation for multi-frameworks objects (#19144) 2022-09-21 11:41:45 -04:00
Yih-Dar
ba7f2173cc
Add runner availability check (#19054)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-09-19 12:27:06 +02:00
Omar Sanseviero
bc5d0b1046
Automatically tag CLIP repos as zero-shot-image-classification (#19064)
* Add CLIP to zero-shot-image-classification

* Make mapping private as it's not used for AutoClassing
2022-09-16 15:40:38 +02:00
Sylvain Gugger
3774010161
Automate check for new pipelines and metadata update (#19029)
* Automate check for new pipelines and metadata update

* Add Datasets to quality extra
2022-09-14 14:06:49 -04:00
Sylvain Gugger
0b567aa430
Add Document QA pipeline metadata (#19028) 2022-09-14 09:25:15 -04:00
NielsRogge
59407bbeb3
Add Deformable DETR (#17281)
* First draft

* More improvements

* Improve model, add custom CUDA code

* Import torch before

* Add script that imports custom layer

* Add everything in new ops directory

* Import custom layer in modeling file

* Fix ARCHIVE_MAP typo

* Creating the custom kernel on the fly.

* Import custom layer in modeling file

* More improvements

* Fix CUDA loading

* More improvements

* Improve conversion script

* Improve conversion script

* Make it work until encoder_outputs

* Make forward pass work

* More improvements

* Make logits match original implementation

* Make implementation also support single_scale model

* Add support for single_scale and dilation checkpoint

* Add support for with_box_refine model

* Support also two stage model

* Improve tests

* Fix more tests

* Make more tests pass

* Upload all models to the hub

* Clean up some code

* Improve decoder outputs

* Rename intermediate hidden states and reference points

* Improve model outputs

* Move tests to dedicated folder

* Improve model outputs

* Fix retain_grad test

* Improve docs

* Clean up and make test_initialization pass

* Improve variable names

* Add copied from statements

* Improve docs

* Fix style

* Improve docs

* Improve docs, move tests to model folder

* Fix rebase

* Remove DetrForSegmentation from auto mapping

* Apply suggestions from code review

* Improve variable names and docstrings

* Apply some more suggestions from code review

* Apply suggestion from code review

* better docs and variables names

* hint to num_queries and two_stage confusion

* remove asserts and code refactor

* add exception if two_stage is True and with_box_refine is False

* use f-strings

* Improve docs and variable names

* Fix code quality

* Fix rebase

* Add require_torch_gpu decorator

* Add pip install ninja to CI jobs

* Apply suggestion of @sgugger

* Remove DeformableDetrForObjectDetection from auto mapping

* Remove DeformableDetrModel from auto mapping

* Add model to toctree

* Add model back to mappings, skip model in pipeline tests

* Apply @sgugger's suggestion

* Fix imports in the init

* Fix copies

* Add CPU implementation

* Comment out GPU function

* Undo previous change

* Apply more suggestions

* Remove require_torch_gpu annotator

* Fix quality

* Add logger.info

* Fix logger

* Fix variable names

* Fix initializaztion

* Add missing initialization

* Update checkpoint name

* Add model to doc tests

* Add CPU/GPU equivalence test

* Add Deformable DETR to pipeline tests

* Skip model for object detection pipeline

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Nouamane Tazi <nouamane98@gmail.com>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>
2022-09-14 11:45:21 +02:00
Yih-Dar
367026000b
create Past CI results as tables for GitHub issue (#18953)
* create Past CI results as tables for GitHub issue

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-09-12 15:20:31 +02:00
NielsRogge
bb6f6d5338
Add X-CLIP (#18852)
* First draft

* Improve conversion script

* Make vision encoder work

* More improvements

* Improve conversion script

* Fix quality

* Add MultiframeIntegrationTransformer

* More improvements

* Make MiT output work

* Fix quality

* Add prompts generator

* Add tests

* Fix some tests

* Fix some more tests

* Fix more tests

* Improve conversion script

* Fix model outputs

* Fix more tests

* Add XClipProcessor

* Use processor in conversion script

* Fix integration test

* Update README, fix docs

* Fix all tests

* Add MIT output to XClipOutput

* Create better variable names

* Rename XClip to XCLIP

* Extend conversion script

* Add support for large models

* Add support for 16 frame models

* Add another model'

* Fix module issue

* Apply suggestions from code review

* Add figure to docs

* Fix CLIPProcessor issue

* Apply suggestions from code review

* Delete file

* Convert more checkpoints

* Convert last checkpoint

* Update nielsr to microsoft
2022-09-08 14:50:30 +02:00
Jason Phang
53e33e6f1b
PEGASUS-X (#18551)
* PegasusX Initial commit

* rename

* pegasus X implementation

* pegx update

* pegx fix

* pegasus-x fixes

* pegx updates

* cleanup

* cleanup

* cleanup

* tests

* stylefixes

* Documentation update

* Model hub fix

* cleanup

* update

* update

* testfix

* Check fix

* tweaks for merging

* style

* style

* updates for pr

* style

* change pegasus-x repo
2022-09-02 19:54:02 +02:00
Yih-Dar
4e29b3f884
A script to download artifacts and perform CI error statistics (#18865)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-09-02 17:59:26 +02:00
Sayak Paul
954e18ab97
TensorFlow MobileViT (#18555)
* initial implementation.

* add: working model till image classification.

* add: initial implementation that passes intg tests.

Co-authored-by: Amy <aeroberts4444@gmail.com>

* chore: formatting.

* add: tests (still breaking because of config mismatch).

Coo-authored-by: Yih <2521628+ydshieh@users.noreply.github.com>

* add: corrected tests and remaning changes.

* fix code style and repo consistency.

* address PR comments.

* address Amy's comments.

* chore: remove from_pt argument.

* chore: add full-stop.

* fix: TFLite model conversion in the doc.

* Update src/transformers/models/mobilevit/modeling_tf_mobilevit.py

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

* Update src/transformers/models/mobilevit/modeling_tf_mobilevit.py

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

* Update src/transformers/models/mobilevit/modeling_tf_mobilevit.py

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

* Update src/transformers/models/mobilevit/modeling_tf_mobilevit.py

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

* Update src/transformers/models/mobilevit/modeling_tf_mobilevit.py

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

* apply formatting.

* chore: remove comments from the example block.

* remove identation in the example.

Co-authored-by: Amy <aeroberts4444@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-09-01 10:35:15 -04:00
Yih-Dar
e7da38f5dc
add a script to get time info. from GA workflow jobs (#18822)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-09-01 12:02:52 +02:00
Ankur Goyal
5c4c869014
Add LayoutLMForQuestionAnswering model (#18407)
* Add LayoutLMForQuestionAnswering model

* Fix output

* Remove TF TODOs

* Add test cases

* Add docs

* TF implementation

* Fix PT/TF equivalence

* Fix loss

* make fixup

* Fix up documentation code examples

* Fix up documentation examples + test them

* Remove LayoutLMForQuestionAnswering from the auto mapping

* Docstrings

* Add better docstrings

* Undo whitespace changes

* Update tokenizers in comments

* Fixup code and remove `from_pt=True`

* Fix tests

* Revert some unexpected docstring changes

* Fix tests by overriding _prepare_for_class

Co-authored-by: Ankur Goyal <ankur@impira.com>
2022-08-31 10:05:33 +02:00
Dan Tegzes
5727dfcebe
Added Docstrings for Deberta and DebertaV2 [PyTorch] (#18610)
* Added Doctest for Deberta Pytorch

* Added path in documentation test file

* Added docstrings for DebertaV2

* Revert "Added docstrings for DebertaV2"

This reverts commit 307185e62a.

* Added DebertaV2 Docstrings
2022-08-30 14:46:21 +02:00
NielsRogge
b83796ded7
Remove ViltForQuestionAnswering from check_repo (#18762)
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-08-30 14:15:36 +02:00
Christoffer Koo Øhrstrøm
de8548ebf3
[LayoutLMv3] Add TensorFlow implementation (#18678)
Co-authored-by: Esben Toke Christensen <esben.christensen@visma.com>
Co-authored-by: Lasse Reedtz <lasse.reedtz@visma.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
2022-08-30 11:48:11 +01:00
Yih-Dar
5f06a09b9f
fix missing block when there is no failure (#18775)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-08-29 09:10:13 +02:00
Craig Chan
fbf382c84d
Determine framework automatically before ONNX export (#18615)
* Automatic detection for framework to use when exporting to ONNX

* Log message change

* Incorporating PR comments, adding unit test

* Adding tf for pip install for run_tests_onnxruntime CI

* Restoring past changes to circleci yaml and test_onnx_v2.py, tests moved to tests/onnx/test_features.py

* Fixup

* Adding test to fetcher

* Updating circleci config to log more

* Changing test class name

* Comment typo fix in tests/onnx/test_features.py

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Moving torch_str/tf_str to self.framework_pt/tf

* Remove -rA flag in circleci config

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
2022-08-25 16:31:34 +02:00
Yih-Dar
81ab11124f
Add checks for some workflow jobs (#18583)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-08-16 13:53:47 +02:00
NielsRogge
2ab790e82d
Add Donut (#18488)
* First draft

* Improve script

* Update script

* Make conversion work

* Add final_layer_norm attribute to Swin's config

* Add DonutProcessor

* Convert more models

* Improve feature extractor and convert base models

* Fix bug

* Improve integration tests

* Improve integration tests and add model to README

* Add doc test

* Add feature extractor to docs

* Fix integration tests

* Remove register_buffer

* Fix toctree and add missing attribute

* Add DonutSwin

* Make conversion script work

* Improve conversion script

* Address comment

* Fix bug

* Fix another bug

* Remove deprecated method from docs

* Make Swin and Swinv2 untouched

* Fix code examples

* Fix processor

* Update model_type to donut-swin

* Add feature extractor tests, add token2json method, improve feature extractor

* Fix failing tests, remove integration test

* Add do_thumbnail for consistency

* Improve code examples

* Add code example for document parsing

* Add DonutSwin to MODEL_NAMES_MAPPING

* Add model to appropriate place in toctree

* Update namespace to appropriate organization

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-08-12 16:40:58 +02:00
Younes Belkada
4a51075a96
bitsandbytes - Linear8bitLt integration into transformers models (#17901)
* first commit

* correct replace function

* add final changes

- works like charm!
- cannot implement tests yet
- tested

* clean up a bit

* add bitsandbytes dependencies

* working version

- added import function
- added bitsandbytes utils file

* small fix

* small fix

- fix import issue

* fix import issues

* Apply suggestions from code review

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

* refactor a bit

- move bitsandbytes utils to utils
- change comments on functions

* reformat docstring

- reformat docstring on init_empty_weights_8bit

* Update src/transformers/__init__.py

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

* revert bad formatting

* change to bitsandbytes

* refactor a bit

- remove init8bit since it is useless

* more refactoring

- fixed init empty weights issue
- added threshold param

* small hack to make it work

* Update src/transformers/modeling_utils.py

* Update src/transformers/modeling_utils.py

* revmoe the small hack

* modify utils file

* make style + refactor a bit

* create correctly device map

* add correct dtype for device map creation

* Apply suggestions from code review

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

* apply suggestions

- remove with torch.grad
- do not rely on Python bool magic!

* add docstring

 - add docstring for new kwargs

* add docstring

- comment `replace_8bit_linear` function
- fix weird formatting

* - added more documentation
- added new utility function for memory footprint tracking
- colab demo to add

* few modifs

- typo doc
- force cast into float16 when load_in_8bit is enabled

* added colab link

* add test architecture + docstring a bit

* refactor a bit testing class

* make style + refactor a bit

* enhance checks

- add more checks
- start writing saving test

* clean up a bit

* male style

* add more details on doc

* add more tests

- still needs to fix 2 tests

* replace by "or"

- could not fix it from GitHub GUI

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

* refactor a bit testing code + add readme

* make style

* fix import issue

* Update src/transformers/modeling_utils.py

Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* add few comments

* add more doctring + make style

* more docstring

* raise error when loaded in 8bit

* make style

* add warning if loaded on CPU

* add small sanity check

* fix small comment

* add bitsandbytes on dockerfile

* Improve documentation

- improve documentation from comments

* add few comments

* slow tests pass on the VM but not on the CI VM

* Fix merge conflict

* make style

* another test should pass on a multi gpu setup

* fix bad import in testing file

* Fix slow tests

- remove dummy batches
- no more CUDA illegal memory errors

* odify dockerfile

* Update docs/source/en/main_classes/model.mdx

* Update Dockerfile

* Update model.mdx

* Update Dockerfile

* Apply suggestions from code review

* few modifications

- lm head can stay on disk/cpu
- change model name so that test pass

* change test value

- change test value to the correct output
- torch bmm changed to baddmm in bloom modeling when merging

* modify installation guidelines

* Apply suggestions from code review

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

* Apply suggestions from code review

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

* Apply suggestions from code review

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

* replace `n`by `name`

* merge `load_in_8bit` and `low_cpu_mem_usage`

* first try - keep the lm head in full precision

* better check

- check the attribute `base_model_prefix` instead of computing the number of parameters

* added more tests

* Update src/transformers/utils/bitsandbytes.py

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

* Merge branch 'integration-8bit' of https://github.com/younesbelkada/transformers into integration-8bit

* improve documentation

- fix typos for installation
- change title in the documentation

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>
2022-08-10 09:13:36 +02:00
NielsRogge
82bb682643
[VideoMAE] Add model to doc tests (#18523)
* Add videomae to doc tests

* Add pip install decord

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-08-08 19:28:51 +02:00
Sylvain Gugger
377cdded7a
Clean up hub (#18497)
* Clean up utils.hub

* Remove imports

* More fixes

* Last fix
2022-08-08 08:48:10 -04:00
Sylvain Gugger
70fa1a8d26
Fix pipeline tests (#18487)
* Fix pipeline tests

* Make sure all pipelines tests run with init changes
2022-08-05 09:14:51 -04:00
Yih-Dar
d2704c4143
Add machine type in the artifact of Examples directory job (#18459)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-08-04 18:52:01 +02:00
Steven Liu
151a2aaa4e
Split model list on modality (#18328)
* 📝 split up model list

* Adapt script to reorg

* apply niels feedback

Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>
2022-08-01 11:10:20 -05:00
Yih-Dar
bd6d1b4300
Add a check regarding the number of occurrences of ``` (#18389)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-08-01 14:23:02 +02:00
Yih-Dar
b53dab601c
Remove Flax OPT from doctest for now (#18338)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-07-28 11:50:44 -04:00
Yih-Dar
c4c6b4dbda
Add PyTorch 1.11 to past CI (#18302)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-07-26 15:47:23 +02:00
gilad19
2b09650885
Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER) (#17924)
* Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER)

* Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER)

* provide classifier only text hidden states

* add test_for_token_classification

* Update src/transformers/models/vilt/modeling_vilt.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/vilt/modeling_vilt.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/vilt/modeling_vilt.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/vilt/modeling_vilt.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add test_for_token_classification

Co-authored-by: gfuchs <gfuchs@ebay.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
2022-07-26 10:11:32 +02:00
Alara Dirik
002915aa2a
Owlvit docs test (#18257)
* fix docs and add owlvit docs test

* fix minor bug in post_process, add to processor

* improve owlvit code examples

* fix hardcoded image size
2022-07-26 10:55:14 +03:00
Raghavan
bd87480d20
Fix command of doc tests for local testing (#18236)
* Fix command of doc tests for local testing

* Fix command for after running doc tests locally
2022-07-26 03:07:11 -04:00
Alara Dirik
12d66b4701
Add OWL-ViT model for zero-shot object detection (#17938)
* add owlvit model skeleton

* add class and box predictor heads

* convert modified flax clip to pytorch

* fix box and class predictors

* add OwlViTImageTextEmbedder

* convert class and box head checkpoints

* convert image text embedder checkpoints

* add object detection head

* fix bugs

* update conversion script

* update conversion script

* fix q,v,k,out weight conversion conversion

* add owlvit object detection output

* fix bug in image embedder

* fix bugs in text embedder

* fix positional embeddings

* fix bug in inference mode vision pooling

* update docs, init tokenizer and processor files

* support batch processing

* add OwlViTProcessor

* remove merge conflicts

* readd owlvit imports

* fix bug in OwlViTProcessor imports

* fix bugs in processor

* update docs

* fix bugs in processor

* update owlvit docs

* add OwlViTFeatureExtractor

* style changes, add postprocess method to feature extractor

* add feature extractor and processor tests

* add object detection tests

* update conversion script

* update config paths

* update config paths

* fix configuration paths and bugs

* fix bugs in OwlViT tests

* add import checks to processor

* fix docs and minor issues

* fix docs and minor issues

* fix bugs and issues

* fix bugs and issues

* fix bugs and issues

* fix bugs and issues

* update docs and examples

* fix bugs and issues

* update conversion script, fix positional embeddings

* process 2D input ids, update tests

* fix style and quality issues

* update docs

* update docs and imports

* update OWL-ViT index.md

* fix bug in OwlViT feature ext tests

* fix code examples, return_dict by default

* return_dict by default

* minor fixes, add tests to processor

* small fixes

* add output_attentions arg to main model

* fix bugs

* remove output_hidden_states arg from main model

* update self.config variables

* add option to return last_hidden_states

* fix bug in config variables

* fix copied from statements

* fix small issues and bugs

* fix bugs

* fix bugs, support greyscale images

* run fixup

* update repo name

* merge OwlViTImageTextEmbedder with obj detection head

* fix merge conflict

* fix merge conflict

* make fixup

* fix bugs

* fix bugs

* add additional processor test
2022-07-22 13:35:32 +03:00
Sayak Paul
561b9a8c00
[SegFormer] TensorFlow port (#17910)
* add: segformer utils and img. classification.

* add: segmentation layer.

* feat: working implementation of segformer.

* chore: remove unused variable.

* add test, remaining modifications.

* remove: unnecessary files.

* add: rest of the files.

Co-authored-by: matt <rocketknight1@gmail.com>

* chore: remove ModuleList comment.

* chore: apply make style.

* chore: apply make fixup-copies.

* add  to check_repo.py

* add decode head to IGNORE_NON_TESTED

* chore: run make style.

* chore: PR comments.

* chore: minor changes to model doc.

* tests: reduction across samples.

* add a note on the space.

* sort importats.

* fix: reduction in loss computation.

* chore: align loss function with that of NER.

* chore: correct utils/documentation_tests.txt

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

* chore: simplify the interpolation of logits in loss computation.

* chore: return transposed logits when return_dict=False.

* chore: add link to the tf fine-tuning repo.

* address pr comments.

* address niels's comments.

* remove from_pt=True since tf weights are in.

* remove comment from pt model.

* address niels's comments.

Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
2022-07-21 18:22:37 +01:00
Yih-Dar
2c5747edfe
Update notification service (#17921)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2022-07-21 15:03:50 +02:00
Sylvain Gugger
dc9147ff36
Custom pipeline (#18079)
* Initial work

* More work

* Add tests for custom pipelines on the Hub

* Protect import

* Make the test work for TF as well

* Last PyTorch specific bit

* Add documentation

* Style

* Title in toc

* Bad names!

* Update docs/source/en/add_new_pipeline.mdx

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Auto stash before merge of "custom_pipeline" and "origin/custom_pipeline"

* Address review comments

* Address more review comments

* Update src/transformers/pipelines/__init__.py

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
2022-07-19 12:02:35 +02:00
Sylvain Gugger
aeeab1ffd0
Fix template for new models in README (#18182) 2022-07-18 16:01:51 +02:00
amyeroberts
8581a798c0
Add TF DeiT implementation (#17806)
* Initial TF DeiT implementation

* Fix copies naming issues

* Fix up + docs

* Properly same main layer

* Name layers properly

* Initial TF DeiT implementation

* Fix copies naming issues

* Fix up + docs

* Properly same main layer

* Name layers properly

* Fixup

* Fix import

* Fix import

* Fix import

* Fix weight loading for tests whilst not on hub

* Add doc tests and remove to_2tuple

* Add back to_2tuple
Removing to_2tuple results in many downstream changes needed because of the copies checks

* Incorporate updates in Improve vision models #17731 PR

* Don't hard code num_channels

* Copy PyTorch DeiT embeddings and remove pytorch operations with mask

* Fix patch embeddings & tidy up

* Update PixelShuffle to move logic into class layer

* Update doc strings - remove PT references

* Use NHWC format in internal layers

* Fix up

* Use linear activation layer

* Remove unused import

* Apply suggestions from code review

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

* Move dataclass to top of file

* Remove from_pt now weights on hub

* Fixup

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Amy Roberts <amyeroberts@users.noreply.github.com>
2022-07-13 18:04:08 +01:00
Yulv-git
95113d1365
Fix some typos. (#17560)
* Fix some typos.

Signed-off-by: Yulv-git <yulvchi@qq.com>

* Fix typo.

Signed-off-by: Yulv-git <yulvchi@qq.com>

* make fixup.
2022-07-11 05:00:13 -04:00