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  1. 27 Nov, 2023 2 commits
  3. 24 Nov, 2023 5 commits
  5. 23 Nov, 2023 4 commits
  7. 22 Nov, 2023 1 commit
    • dg845's avatar
      Add UnivNet Vocoder Model for Tortoise TTS Diffusers Integration (#24799) · 7f6a804d
      dg845 authored 
      * initial commit

* Add inital testing files and modify __init__ files to add UnivNet imports.

* Fix some bugs

* Add checkpoint conversion script and add references to transformers pre-trained model.

* Add UnivNet entries for auto.

* Add initial docs for UnivNet.

* Handle input and output shapes in UnivNetGan.forward and add initial docstrings.

* Write tests and make them pass.

* Write docs.

* Add UnivNet doc to _toctree.yml and improve docs.

* fix typo

* make fixup

* make fix-copies

* Add upsample_rates parameter to config and improve config documentation.

* make fixup

* make fix-copies

* Remove unused upsample_rates config parameter.

* apply suggestions from review

* make style

* Verify and add reason for skipped tests inherited from ModelTesterMixin.

* Add initial UnivNetGan integration tests

* make style

* Remove noise_length input to UnivNetGan and improve integration tests.

* Fix bug and make style

* Make UnivNet integration tests pass

* Add initial code for UnivNetFeatureExtractor.

* make style

* Add initial tests for UnivNetFeatureExtractor.

* make style

* Properly initialize weights for UnivNetGan

* Get feature extractor fast tests passing

* make style

* Get feature extractor integration tests passing

* Get UnivNet integration tests passing

* make style

* Add UnivNetGan usage example

* make style and use feature extractor from hub in integration tests

* Update tips in docs

* apply suggestions from review

* make style

* Calculate padding directly instead of using get_padding methods.

* Update UnivNetFeatureExtractor.to_dict to be UnivNet-specific.

* Update feature extractor to support using model(**inputs) and add the ability to generate noise and pad the end of the spectrogram in __call__.

* Perform padding before generating noise to ensure the shapes are correct.

* Rename UnivNetGan.forward's noise_waveform argument to noise_sequence.

* make style

* Add tests to test generating noise and padding the end for UnivNetFeatureExtractor.__call__.

* Add tests for checking batched vs unbatched inputs for UnivNet feature extractor and model.

* Add expected mean and stddev checks to the integration tests and make them pass.

* make style

* Make it possible to use model(**inputs), where inputs is the output of the feature extractor.

* fix typo in UnivNetGanConfig example

* Calculate spectrogram_zero from other config values.

* apply suggestions from review

* make style

* Refactor UnivNet conversion script to use load_state_dict (following persimmon).

* Rename UnivNetFeatureExtractor to UnivNetGanFeatureExtractor.

* make style

* Switch to using torch.tensor and torch.testing.assert_close for testing expected values/slices.

* make style

* Use config in UnivNetGan modeling blocks.

* make style

* Rename the spectrogram argument of UnivNetGan.forward to input_features, following Whisper.

* make style

* Improving padding documentation.

* Add UnivNet usage example to the docs.

* apply suggestions from review

* Move dynamic_range_compression computation into the mel_spectrogram method of the feature extractor.

* Improve UnivNetGan.forward return docstring.

* Update table in docs/source/en/index.md.

* make fix-copies

* Rename UnivNet components to have pattern UnivNet*.

* make style

* make fix-copies

* Update docs

* make style

* Increase tolerance on flaky unbatched integration test.

* Remove torch.no_grad decorators from UnivNet integration tests to try to avoid flax/Tensorflow test errors.

* Add padding_mask argument to UnivNetModel.forward and add batch_decode feature extractor method to remove padding.

* Update documentation and clean up padding code.

* make style

* make style

* Remove torch dependency from UnivNetFeatureExtractor.

* make style

* Fix UnivNetModel usage example

* Clean up feature extractor code/docstrings.

* apply suggestions from review

* make style

* Add comments for tests skipped via ModelTesterMixin flags.

* Add comment for model parallel tests skipped via the test_model_parallel ModelTesterMixin flag.

* Add # Copied from statements to copied UnivNetFeatureExtractionTest tests.

* Simplify UnivNetFeatureExtractorTest.test_batch_decode.

* Add support for unbatched padding_masks in UnivNetModel.forward.

* Refactor unbatched padding_mask support.

* make style
      7f6a804d
  9. 21 Nov, 2023 3 commits
    • jiqing-feng's avatar
      TVP model (#25856) · c770600f
      jiqing-feng authored 
      * tvp model for video grounding

add tokenizer auto

fix param in TVPProcessor

add docs

clear comments and enable different torch dtype

add image processor test and model test and fix code style

* fix conflict

* fix model doc

* fix image processing tests

* fix tvp tests

* remove torch in processor

* fix grammar error

* add more details on tvp.md

* fix model arch for loss, grammar, and processor

* add docstring and do not regard TvpTransformer, TvpVisionModel as individual model

* use pad_image

* update copyright

* control first downsample stride

* reduce first only works for ResNetBottleNeckLayer

* fix param name

* fix style

* add testing

* fix style

* rm init_weight

* fix style

* add post init

* fix comments

* do not test TvpTransformer

* fix warning

* fix style

* fix example

* fix config map

* add link in config

* fix comments

* fix style

* rm useless param

* change attention

* change test

* add notes

* fix comments

* fix tvp

* import checkpointing

* fix gradient checkpointing

* Use a more accurate example in readme

* update

* fix copy

* fix style

* update readme

* delete print

* remove tvp test_forward_signature

* remove TvpTransformer

* fix test init model

* merge main and make style

* fix tests and others

* fix image processor

* fix style and model_input_names

* fix tests
      c770600f
    • amyeroberts's avatar
      Fix tracing dinov2 (#27561) · 0145c682
      amyeroberts authored 
      * Enable tracing with DINOv2 model

* ABC

* Add note to model doc
      0145c682
    • Joao Gante's avatar
      Generate: Update docs regarding reusing `past_key_values` in `generate` (#27612) · 81b79818
      Joao Gante authored
      81b79818
  11. 20 Nov, 2023 4 commits
  13. 18 Nov, 2023 1 commit
  15. 17 Nov, 2023 3 commits
  17. 16 Nov, 2023 4 commits
  19. 15 Nov, 2023 1 commit
  21. 14 Nov, 2023 4 commits
  23. 13 Nov, 2023 4 commits
    • Gift Sinthong's avatar
      [time series] Add PatchTST (#25927) · 2ac5b932
      Gift Sinthong authored 
      

* Initial commit of PatchTST model classes
Co-authored-by: default avatarPhanwadee Sinthong <phsinthong@gmail.com>
Co-authored-by: default avatarNam Nguyen <namctin@gmail.com>
Co-authored-by: default avatarVijay Ekambaram <vijaykr.e@gmail.com>
Co-authored-by: default avatarNgoc Diep Do <55230119+diepi@users.noreply.github.com>
Co-authored-by: default avatarWesley Gifford <79663411+wgifford@users.noreply.github.com>

* Add PatchTSTForPretraining

* update to include classification
Co-authored-by: default avatarPhanwadee Sinthong <phsinthong@gmail.com>
Co-authored-by: default avatarNam Nguyen <namctin@gmail.com>
Co-authored-by: default avatarVijay Ekambaram <vijaykr.e@gmail.com>
Co-authored-by: default avatarNgoc Diep Do <55230119+diepi@users.noreply.github.com>
Co-authored-by: default avatarWesley Gifford <79663411+wgifford@users.noreply.github.com>

* clean up auto files

* Add PatchTSTForPrediction

* Fix relative import

* Replace original PatchTSTEncoder with ChannelAttentionPatchTSTEncoder

* temporary adding absolute path + add PatchTSTForForecasting class

* Update base PatchTSTModel + Unittest

* Update ForecastHead to use the config class

* edit cv_random_masking, add mask to model output

* Update configuration_patchtst.py

* add masked_loss to the pretraining

* add PatchEmbeddings

* Update configuration_patchtst.py

* edit loss which considers mask in the pretraining

* remove patch_last option

* Add commits from internal repo

* Update ForecastHead

* Add model weight initilization + unittest

* Update PatchTST unittest to use local import

* PatchTST integration tests for pretraining and prediction

* Added PatchTSTForRegression + update unittest to include label generation

* Revert unrelated model test file

* Combine similar output classes

* update PredictionHead

* Update configuration_patchtst.py

* Add Revin

* small edit to PatchTSTModelOutputWithNoAttention

* Update modeling_patchtst.py

* Updating integration test for forecasting

* Fix unittest after class structure changed

* docstring updates

* change input_size to num_input_channels

* more formatting

* Remove some unused params

* Add a comment for pretrained models

* add channel_attention option

add channel_attention option and remove unused positional encoders.

* Update PatchTST models to use HF's MultiHeadAttention module

* Update paper + github urls

* Fix hidden_state return value

* Update integration test to use PatchTSTForForecasting

* Adding dataclass decorator for model output classes

* Run fixup script

* Rename model repos for integration test

* edit argument explanation

* change individual option to shared_projection

* style

* Rename integration test + import cleanup

* Fix outpu_hidden_states return value

* removed unused mode

* added std, mean and nops scaler

* add initial distributional loss for predition

* fix typo in docs

* add generate function

* formatting

* add num_parallel_samples

* Fix a typo

* copy weighted_average function, edit PredictionHead

* edit PredictionHead

* add distribution head to forecasting

* formatting

* Add generate function for forecasting

* Add generate function to prediction task

* formatting

* use argsort

* add past_observed_mask ordering

* fix arguments

* docs

* add back test_model_outputs_equivalence test

* formatting

* cleanup

* formatting

* use ACT2CLS

* formatting

* fix add_start_docstrings decorator

* add distribution head and generate function to regression task

add distribution head and generate function to regression task. Also made add PatchTSTForForecastingOutput,  PatchTSTForRegressionOutput.

* add distribution head and generate function to regression task

add distribution head and generate function to regression task. Also made add PatchTSTForForecastingOutput,  PatchTSTForRegressionOutput.

* fix typos

* add forecast_masking

* fixed tests

* use set_seed

* fix doc test

* formatting

* Update docs/source/en/model_doc/patchtst.md
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* better var names

* rename PatchTSTTranspose

* fix argument names and docs string

* remove compute_num_patches and unused class

* remove assert

* renamed to PatchTSTMasking

* use num_labels for classification

* use num_labels

* use default num_labels from super class

* move model_type after docstring

* renamed PatchTSTForMaskPretraining

* bs -> batch_size

* more review fixes

* use hidden_state

* rename encoder layer and block class

* remove commented seed_number

* edit docstring

* Add docstring

* formatting

* use past_observed_mask

* doc suggestion

* make fix-copies

* use Args:

* add docstring

* add docstring

* change some variable names and add PatchTST before some class names

* formatting

* fix argument types

* fix tests

* change x variable to patch_input

* format

* formatting

* fix-copies

* Update tests/models/patchtst/test_modeling_patchtst.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* move loss to forward

* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* formatting

* fix a bug when pre_norm is set to True

* output_hidden_states is set to False as default

* set pre_norm=True as default

* format docstring

* format

* output_hidden_states is None by default

* add missing docs

* better var names

* docstring: remove default to False in output_hidden_states

* change labels name to target_values in regression task

* format

* fix tests

* change to forecast_mask_ratios and random_mask_ratio

* change mask names

* change future_values to target_values param in the prediction class

* remove nn.Sequential and make PatchTSTBatchNorm class

* black

* fix argument name for prediction

* add output_attentions option

* add output_attentions to PatchTSTEncoder

* formatting

* Add attention output option to all classes

* Remove PatchTSTEncoderBlock

* create PatchTSTEmbedding class

* use config in PatchTSTPatchify

* Use config in PatchTSTMasking class

* add channel_attn_weights

* Add PatchTSTScaler class

* add output_attentions arg to test function

* format

* Update doc with image patchtst.md

* fix-copies

* rename Forecast <-> Prediction

* change name of a few parameters to match with PatchTSMixer.

* Remove *ForForecasting class to match with other time series models.

* make style

* Remove PatchTSTForForecasting in the test

* remove PatchTSTForForecastingOutput class

* change test_forecast_head to test_prediction_head

* style

* fix docs

* fix tests

* change num_labels to num_targets

* Remove PatchTSTTranspose

* remove arguments in PatchTSTMeanScaler

* remove arguments in PatchTSTStdScaler

* add config as an argument to all the scaler classes

* reformat

* Add norm_eps for batchnorm and layernorm

* reformat.

* reformat

* edit docstring

* update docstring

* change variable name pooling to pooling_type

* fix output_hidden_states as tuple

* fix bug when calling PatchTSTBatchNorm

* change stride to patch_stride

* create PatchTSTPositionalEncoding class and restructure the PatchTSTEncoder

* formatting

* initialize scalers with configs

* edit output_hidden_states

* style

* fix forecast_mask_patches doc string

---------
Co-authored-by: default avatarGift Sinthong <gift.sinthong@ibm.com>
Co-authored-by: default avatarNam Nguyen <namctin@gmail.com>
Co-authored-by: default avatarVijay Ekambaram <vijaykr.e@gmail.com>
Co-authored-by: default avatarNgoc Diep Do <55230119+diepi@users.noreply.github.com>
Co-authored-by: default avatarWesley Gifford <79663411+wgifford@users.noreply.github.com>
Co-authored-by: default avatarWesley M. Gifford <wmgifford@us.ibm.com>
Co-authored-by: default avatarnnguyen <nnguyen@us.ibm.com>
Co-authored-by: default avatarNgoc Diep Do <diiepy@gmail.com>
Co-authored-by: default avatarKashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      2ac5b932
    • adismort14's avatar
      Fixed typo in pipelines.md documentation (#27455) · 8017a590
      adismort14 authored 
      Update pipelines.md
      8017a590
    • jiaqiw09's avatar
      Perf torch compile (#27422) · eb79b55b
      jiaqiw09 authored 
      * translate perrf_torch_compile.md

* translate tf_xla.md

* update
      eb79b55b
    • Arthur's avatar
      Remove-auth-token (#27060) · b97cab7e
      Arthur authored 
      * don't use `use_auth_token`internally

* let's use token everywhere

* fixup
      b97cab7e
  25. 10 Nov, 2023 3 commits
    • Susnato Dhar's avatar
      Add Phi-1 and Phi-1_5 (#26170) · e1c3ac25
      Susnato Dhar authored 
      * only dir not even init

* init

* tokenizer removed and reference of codegen added

* modeling file updated a lot remaining app_rotary_emb

* conversion script done

* conversion script fixed, a lot of factoring done and most tests pass

* added token_clf and extractive_QA_head

* integration tests pass

* flash attn tests pass!

* config done

* more docs in modeling file

* some style fix

* style and others

* doc test error fix

* more doc fix

* some attention fixes

* most fixes

* style and other fixes

* docs fix and config

* doc fix

* some comments

* conversion script updated

* conversion script updated

* Revert "conversion script updated"

This reverts commit e92378c54084ec0747041b113083d1746ecb6c7f.

* final comments

* add Phi to language_modeling.md

* edit phi.md file

* rebase and fix

* removed phi-1.5 example

* changed model_type from 'phi'->'mixformer-sequential'

* small change

* small change

* revert \small change

* changed mixformer-sequential->phi

* small change

* added phi-1.5 example instead of phi-1

* doc test might pass now

* rebase and small change

* added the dropout layer

* more fixes

* modified .md file

* very very small doc change
      e1c3ac25
    • Susnato Dhar's avatar
      Add CLVP (#24745) · 7e9f10ac
      Susnato Dhar authored 
      * init commit

* attention arch done except rotary emb

* rotary emb done

* text encoder working

* outputs matching

* arch first pass done

* make commands done, tests and docs remaining

* all tests passed, only docs remaining

* docs done

* doc-builder fix

* convert script removed(not relevant)

* minor comments done

* added ckpt conversion script

* tokenizer done

* very minor fix of index.md 2

* mostly make fixup related

* all done except fe and rotary emb

* very small change

* removed unidecode dependency

* style changes

* tokenizer removed require_backends

* added require_inflect to tokenizer tests

* removed VOCAB_FILES in tokenizer test

* inflect dependency removed

* added rotary pos emb cache and simplified the apply method

* style

* little doc change

* more comments

* feature extractor added

* added processor

* auto-regressive config added

* added CLVPConditioningEncoder

* comments done except the test one

* weights added successfull(NOT tested)

* tokenizer fix with numbers

* generate outputs matching

* almost tests passing Integ tests not written

* Integ tests added

* major CUDA error fixed

* docs done

* rebase and multiple fixes

* fixed rebase overwrites

* generate code simplified and tests for AutoRegressive model added

* minor changes

* refectored gpt2 code in clvp file

* weights done and all code refactored

* mostly done except the fast_tokenizer

* doc test fix

* config file's doc fixes

* more config fix

* more comments

* tokenizer comments mostly done

* modeling file mostly refactored and can load modules

* ClvpEncoder tested

* ClvpDecoder, ClvpModel and ClvpForCausalLM tested

* integration and all tests passed

* more fixes

* docs almost done

* ckpt conversion refectored

* style and some failing tests fix

* comments

* temporary output fix but test_assisted_decoding_matches_greedy_search test fails

* majority changes done

* use_cache outputs same now! Along with the asisted_greedy_decoding test fix

* more comments

* more comments

* prepare_inputs_for_generation fixed and _prepare_model_inputs added

* style fix

* clvp.md change

* moved clvpconditionalencoder norms

* add model to new index

* added tokenizer input_ids_with_special_tokens

* small fix

* config mostly done

* added config-tester and changed conversion script

* more comments

* comments

* style fix

* some comments

* tokenizer changed back to prev state

* small commnets

* added output hidden states for the main model

* style fix

* comments

* small change

* revert small change

* .

* Update clvp.md

* Update test_modeling_clvp.py

* :)

* some minor change

* new fixes

* remove to_dict from FE
      7e9f10ac
    • Yoach Lacombe's avatar
      update Bark FA2 docs (#27400) · 9dd58c53
      Yoach Lacombe authored 
      

* update Bark FA2 docs

* update benchmark section

* Update bark.md

* Apply suggestions from code review
Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* rephrase

---------
Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      9dd58c53
  27. 09 Nov, 2023 1 commit