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  1. 23 Nov, 2021 1 commit
  3. 22 Nov, 2021 3 commits
  5. 21 Nov, 2021 2 commits
  7. 19 Nov, 2021 4 commits
  9. 18 Nov, 2021 4 commits
    • Stas Bekman's avatar
      [Bert, et al] fix early device assignment (#14447) · 72a6bf33
      Stas Bekman authored 
      * fix early device assignment

* more models
      72a6bf33
    • 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
    • NielsRogge's avatar
      Fix code example (#14441) · 08816de1
      NielsRogge authored
      08816de1
  11. 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
  13. 16 Nov, 2021 4 commits
  15. 15 Nov, 2021 5 commits
  17. 14 Nov, 2021 1 commit
  19. 13 Nov, 2021 2 commits
  21. 12 Nov, 2021 3 commits
    • Li-Huai (Allan) Lin's avatar
      Use `AlbertConverter` for FNet instead of using FNet's own converter (#14365) · 280a811e
      Li-Huai (Allan) Lin authored 
      * Add normalizer to FNetConverter

* Style

* Directly use AlbertConverter
      280a811e
    • Suraj Patil's avatar
      fix docs (#14377) · 21546e59
      Suraj Patil authored
      21546e59
    • 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
  23. 11 Nov, 2021 4 commits
  25. 10 Nov, 2021 4 commits