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  1. 01 Dec, 2021 2 commits
  3. 30 Nov, 2021 3 commits
    • Suraj Patil's avatar
      VisionTextDualEncoder (#13511) · fc1d97f2
      Suraj Patil authored 
      

* init vision_text_dual_encoder

* fix merge

* remove extra heads

* fix tests

* remove VISION_TEXT_DUAL_ENCODER_PRETRAINED_CONFIG_ARCHIVE_MAP

* remove archive map

* fix imports

* fix more imports

* fix init

* delete tokenizers

* fix imports

* clean

* support clip's vision model

* handle None config

* begin tests

* more test and few fixes

* warn about newly init weights

* more tests

* add loss to model

* remove extra classes from doc

* add processor

* doc and small fixes

* add start docstr

* update flax model

* flax tests

* more flax tests

* doc

* quality

* doc and quality

* fix doc

* doc

* remove comments

* update warning

* quality

* fix docs

* Apply suggestions from code review
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* replace asserts, fix imports

* update imports

* fix import

* address some review comments

* fix check

* reduce tolerance

* fix test

* add flax integration test

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

* address Sylvain's comments

* fix style

* add pt_flax_equivalence test in PT tests

* add pt integration test

* update test

* use pre-trained checkpoint in examples
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      fc1d97f2
    • Daniel Stancl's avatar
      [Flax] Add FlaxBlenderbot (#13633) · faacd747
      Daniel Stancl authored 
      

* Init Flax implementation for Blenderbot

* Add a majority of stuff except for tests

* make style quality

* Add tests and fix some bugs

* Add tests

* Clean source code and fix some bugs

* Fix copies and docs

* Fix jax device condition for tests

* Fix layer norm in the encoder

* Fix a few typos in the test file

* make fix-copies

* make fix-copies

* fix layer norm

* Fix Flax params dtype (#13090)

* Fix PR reference (#13098)

* make fix-copies

* Update tests/test_modeling_flax_blenderbot.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>
      faacd747
    • Kamal Raj's avatar
      Tapas tf (#13393) · c468a87a
      Kamal Raj authored 
      * TF Tapas first commit

* updated docs

* updated logger message

* updated pytorch weight conversion
script to support scalar array

* added use_cache to tapas model config to
work properly with tf input_processing

* 1. rm embeddings_sum
2. added # Copied
3. + TFTapasMLMHead
4. and lot other small fixes

* updated docs

* + test for tapas

* updated testing_utils to check
is_tensorflow_probability_available

* converted model logits post processing using
numpy to work with both PT and TF models

* + TFAutoModelForTableQuestionAnswering

* added TF support

* added test for
TFAutoModelForTableQuestionAnswering

* added test for
TFAutoModelForTableQuestionAnswering pipeline

* updated auto model docs

* fixed typo in import

* added tensorflow_probability to run tests

* updated MLM head

* updated tapas.rst with TF  model docs

* fixed optimizer import in docs

* updated convert to np
data from pt model is not
`transformers.tokenization_utils_base.BatchEncoding`
after pipeline upgrade

* updated pipeline:
1. with torch.no_gard removed, pipeline forward handles
2. token_type_ids converted to numpy

* updated docs.

* removed `use_cache` from config

* removed floats_tensor

* updated code comment

* updated Copyright Year and
logits_aggregation Optional

* updated docs and comments

* updated docstring

* fixed model weight loading

* make fixup

* fix indentation

* added tf slow pipeline test

* pip upgrade

* upgrade python to 3.7

* removed from_pt from tests

* revert commit f18cfa9
      c468a87a
  5. 29 Nov, 2021 1 commit
  7. 25 Nov, 2021 1 commit
  9. 24 Nov, 2021 1 commit
  11. 23 Nov, 2021 1 commit
  13. 22 Nov, 2021 2 commits
  15. 19 Nov, 2021 4 commits
  17. 18 Nov, 2021 3 commits
    • Sylvain Gugger's avatar
      Fix finite IterableDataset test on multiple GPUs (#14445) · 83ef8bca
      Sylvain Gugger authored
      83ef8bca
    • NielsRogge's avatar
      Add ImageGPT (#14240) · da36c557
      NielsRogge authored 
      * First draft

* More improvements

* Improve conversion script

* Fix init weights for layer norm

* Fix correct model for conversion script

* Don't tie input and output embeddings

* Add print statements for debugging

* Add print statements for debugging

* Fix vocab size of model

* Improve documentation, remove fast tokenizer

* Add ImageGPTForImageClassification, improve docs

* Fix docs issue

* Set verbosity level back to info

* Improve tests

* Fix tests and add figure

* Delete tokenizer file

* Remove ImageGPTTokenizer from init files

* Remove ImageGPTLayer from init files

* Remove ImageGPT tokenizer from docs

* First draft of ImageGPTFeatureExtractor

* Fix typo

* Fix bug

* More improvements

* Apply suggestions from code review, add tests for feature extractor

* Fix layernorm

* Update save_pretrained method

* Fix issue

* Make all tests of ImageGPTFeatureExtractor pass

* Update code examples

* Rename model inputs to pixel_values

* Improve code examples

* Update init_weights to post_init

* Fix post_init
      da36c557
    • Sylvain Gugger's avatar
      Add a post init method to all models (#14431) · d83b0e0c
      Sylvain Gugger authored 
      * Add a post init method to all models

* Fix tests

* Fix last tests

* Fix templates

* Add comment

* Forgot to save
      d83b0e0c
  19. 17 Nov, 2021 3 commits
    • N's avatar
      [WIP] Ensure TF model configs can be converted to proper JSON (#14415) · 1991da07
      N authored 
      

* test: make sure model configs are jsonifiable

* fix: return python dict instead of config object

* fix: accept pretrained config and use correct class

* Re-enabling slow tests and applying them to core models only

* Re-enabling slow tests and applying them to core models only

* Add new test file to fetcher

* Remove tooslow tests from test_modeling_tf_common.py

* make style

* Style fixes

* Style fixes

* Style fixes

* Style fixes

* Adding core tests to GPT2 and BART

* Removing unused imports
Co-authored-by: default avatarniklas.fruehauf <niklas.fruehauf@sovanta.com>
Co-authored-by: default avatarmatt <rocketknight1@gmail.com>
      1991da07
    • NielsRogge's avatar
      Improve semantic segmentation models (#14355) · a2864a50
      NielsRogge authored 
      * Improve tests

* Improve documentation

* Add ignore_index attribute

* Add semantic_ignore_index to BEiT model

* Add segmentation maps argument to BEiTFeatureExtractor

* Simplify SegformerFeatureExtractor and corresponding tests

* Improve tests

* Apply suggestions from code review

* Minor docs improvements

* Streamline segmentation map tests of SegFormer and BEiT

* Improve reduce_labels docs and test

* Fix code quality

* Fix code quality again
      a2864a50
    • Patrick von Platen's avatar
      [Wav2Vec2] Add New Wav2Vec2 Translation (#14392) · 700a748f
      Patrick von Platen authored 
      * add new wav2vec2 translation

* correct

* up

* add tests

* correct end copy

* correct more

* up

* correct unispeech sat

* finish

* finalize

* finish

* up
      700a748f
  21. 16 Nov, 2021 2 commits
    • Valentin's avatar
      Avoid looping when data exhausted (#14413) · a33168aa
      Valentin authored 
      * stop training when a finite IterableDataset is exhausted

when using an iterable dataset num_epochs is set to
sys.maxsize to make sure all data is consumed
likewise we want to set max_steps high enough
but still stop when all data is consumed

(cherry picked from commit 6f0e1d6363153da9051e93acffe1cbab3a3f3b12)

* fix typo flase -> false

* add test for stopping training on exhausted finite iterable dataset

* remove redundant gradient_accumulation_steps

* run make style

reformat training_args docstring
      a33168aa
    • Sylvain Gugger's avatar
      Fix gradient_checkpointing backward compatibility (#14408) · 040fd471
      Sylvain Gugger authored 
      

* Fix gradient_checkpointing backward compatibility

* Remove needless line

* make sure mask prob is big enough and length small enough

* Fix tests
Co-authored-by: default avatarpatrickvonplaten <patrick.v.platen@gmail.com>
      040fd471
  23. 15 Nov, 2021 4 commits
  25. 13 Nov, 2021 1 commit
  27. 12 Nov, 2021 1 commit
    • Nicolas Patry's avatar
      Adding support for raw python `generator` in addition to `Dataset` for pipelines (#14352) · ed5d1551
      Nicolas Patry authored 
      * Adding support for raw python `generator` in addition to `Dataset`

The main goal is to ease the create of streaming data to the pipe.

`Dataset` is more involved and pytorch specific.

This PR, provides a way to use a python iterator too.
This enabled #14250 but can be proposed as a standalone PR.

```python
from transformers import pipeline

def read_data(filename):
    with open(filename, 'r') as f:
        for line in f:
            yield f

pipe = pipeline("text-classification")
for classified in pipe(read_data("large_file.txt")):
    print("Success ! ", classified)
```

The main caveat of this, is the interaction with `DataLoader` with
`num_workers>1`. When you have multiple workers, each receive a copy
of the generator (like `IterableDataset`). That means the naive Iterator
will fail since all workers iterate on all items of the generator.

There are ways to do clever "skipping", but it could be bad still
because all workers still do have to pass through all items of the
generator (they just ignore items they don't handle), depending on
the case it might be bad.

Using `num_workers=1` is the simplest fix and if the cost of loading
your data is small enough should be good enough. In the above example
trying to do smart tricks to skip some lines is unlikely to be a net
positive for instance.

If there are better ways to do "jumps" on some data, then using
`Dataset` is more advised (since then differents workers can just jump
themselves).

* Adding iterator support for `tf` too.
      ed5d1551
  29. 11 Nov, 2021 4 commits
  31. 10 Nov, 2021 2 commits
  33. 09 Nov, 2021 5 commits
    • Patrick von Platen's avatar
      [Bert2Bert] allow bert2bert + relative embeddings (#14324) · e81d8d7f
      Patrick von Platen authored 
      * [Bert2Bert] allow bert2bert + relative embeddings

* up

* Update README_ko.md

* up

* up
      e81d8d7f
    • Yih-Dar's avatar
      remove test_model_various_embeddings (#14341) · babd0b9a
      Yih-Dar authored 
      
Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      babd0b9a
    • Yih-Dar's avatar
      Add TFViTModel (#13778) · be4a6c64
      Yih-Dar authored 
      

* Start the work for TFViTModel

* Convert to TF code - need to check in the follow up commits

* Clean up model code

* Expose TFViTModel

* make style

* make quality

* Add test

* make style & quality

* Fix some imports

* fix wrong usage - *kwargs => ** kwargs

* Fix Conv2D weight loading (PT->TF) issue

* Add tests for images with different sizes + fix model

* Fix some common tests for TFViTModel

* Use inputs instead of input_ids in test_compile_tf_model

* Add a comment about transpose and Conv2D in convert_tf_weight_name_to_pt_weight_name

* Avoid transpose in TFViT call

* Fix Conv2D issue in load_tf2_weights_in_pytorch_model

* Use tf.keras.layers.Conv2D instead of tf.nn.conv2d

* Using simpler heuristic to detect Conv2D layer

* Change convert_tf_weight_name_to_pt_weight_name to return TransposeType

* Check tf_weight_shape is not None before using it

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

* fix missing comma

* fix input dtype
Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      be4a6c64
    • Apoorv Garg's avatar
      Correct order of overflowing tokens for LayoutLmV2 tokenizer (#13495) · 6326aa4b
      Apoorv Garg authored 
      

* correct order of overflowing tokens for LayoutLmV2 tokenizer

* test to check order of overflowing_tokens for a seq of input_ids

* fix up quality

* added suggested changes

* check that tests the bbox sequence

* pair_input test added

* pass quality test

* check bbox sequence added

* unittest method

* comments added

* add overflowing bbox test

* improved "seq_1"
Co-authored-by: default avatarSaulLu <55560583+SaulLu@users.noreply.github.com>

* improve code quality
Co-authored-by: default avatarSaulLu <lucilesaul.com@gmail.com>
Co-authored-by: default avatarSaulLu <55560583+SaulLu@users.noreply.github.com>
      6326aa4b
    • Yih-Dar's avatar
      Add FlaxVisionEncoderDecoderModel (#13359) · 95b3ec3b
      Yih-Dar authored 
      

* Start the work on FlaxVisionEncoderDecoderModel

* Add FlaxVisionEncoderDecoderModel

* Add VisionEncoderDecoderConfig

* Make FlaxVisionEncoderDecoderModel visible to transformers

* Add test

* Fix wrong getattr usage

* Fix tests

* Add FlaxAutoModelForVision2Seq

* Expose FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING

* clean-up

* add integration test

* update expected logits

* update expected scores

* Add ViT2GPT2ModelIntegrationTest + some cleaning

* Add projection layer + PT/Flax equivalence tests

* Fix import

* minor changes

* make test slow again

* Apply suggestions

* Add modeling_flax_vision_encoder_decoder to _ignore_modules in get_model_modules()

* fix copies

* Apply suggestions from code review
Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>

* split long strings in multiple lines

* decoder_input_ids can't be None

* Add back test_configuration_tie

* Remove attention_mask parameter

* fix test - encoder_last_hidden_state should be encoder_outputs.last_hidden_state instead of the projected vector

* Apply suggestions from code review
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Remove more encoder_attention_mask

* remove encoder_attention_mask when calling self.decode (in FlaxVisionEncoderDecoderModule)

* Fix style + pass 1s instead of None as encoder_attention_mask

* fix init_weights

* pass None for encoder_attention_mask

* pass 1s instead of None as encoder_attention_mask

* Fix doc style
Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      95b3ec3b