- 04 Mar, 2024 1 commit
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NielsRogge authored
* First draft * More improvements * More improvements * More fixes * Fix copies * More improvements * More fixes * More improvements * Convert checkpoint * More improvements, set up tests * Fix more tests * Add UdopModel * More improvements * Fix equivalence test * More fixes * Redesign model * Extend conversion script * Use real inputs for conversion script * Add image processor * Improve conversion script * Add UdopTokenizer * Add fast tokenizer * Add converter * Update README's * Add processor * Add fully fledged tokenizer * Add fast tokenizer * Use processor in conversion script * Add tokenizer tests * Fix one more test * Fix more tests * Fix tokenizer tests * Enable fast tokenizer tests * Fix more tests * Fix additional_special_tokens of fast tokenizer * Fix tokenizer tests * Fix more tests * Fix equivalence test * Rename image to pixel_values * Rename seg_data to bbox * More renamings * Remove vis_special_token * More improvements * Add docs * Fix copied from * Update slow tokenizer * Update fast tokenizer design * Make text input optional * Add first draft of processor tests * Fix more processor tests * Fix decoder_start_token_id * Fix test_initialization * Add integration test * More improvements * Improve processor, add test * Add more copied from * Add more copied from * Add more copied from * Add more copied from * Remove print statement * Update README and auto mapping * Delete files * Delete another file * Remove code * Fix test * Fix docs * Remove asserts * Add doc tests * Include UDOP in exotic model tests * Add expected tesseract decodings * Add sentencepiece * Use same design as T5 * Add UdopEncoderModel * Add UdopEncoderModel to tests * More fixes * Fix fast tokenizer * Fix one more test * Remove parallelisable attribute * Fix copies * Remove legacy file * Copy from T5Tokenizer * Fix rebase * More fixes, copy from T5 * More fixes * Fix init * Use ArthurZ/udop for tests * Make all model tests pass * Remove UdopForConditionalGeneration from auto mapping * Fix more tests * fixups * more fixups * fix the tokenizers * remove un-necessary changes * nits * nits * replace truncate_sequences_boxes with truncate_sequences for fix-copies * nit current path * add a test for input ids * ids that we should get taken from c9f7a32f57440d90ff79890270d376a1cc0acb68 * nits converting * nits * apply ruff * nits * nits * style * fix slow order of addition * fix udop fast range as well * fixup * nits * Add docstrings * Fix gradient checkpointing * Update code examples * Skip tests * Update integration test * Address comment * Make fixup * Remove extra ids from tokenizer * Skip test * Apply suggestions from code review Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update year * Address comment * Address more comments * Address comments * Add copied from * Update CI * Rename script * Update model id * Add AddedToken, skip tests * Update CI * Fix doc tests * Do not use Tesseract for the doc tests * Remove kwargs * Add original inputs * Update casting * Fix doc test * Update question * Update question * Use LayoutLMv3ImageProcessor * Update organization * Improve docs * Update forward signature * Make images optional * Remove deprecated device argument * Add comment, add add_prefix_space * More improvements * Remove kwargs --------- Co-authored-by:
ArthurZucker <arthur.zucker@gmail.com> Co-authored-by:
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- 14 Feb, 2024 1 commit
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amyeroberts authored
* Enable instantiating model with pretrained backbone weights * Clarify pretrained import * Use load_backbone instead * Add backbone_kwargs to config * Pass kwargs to constructors * Fix up * Input verification * Add tests * Tidy up * Update tests/utils/test_backbone_utils.py Co-authored-by:
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- 30 Jan, 2024 1 commit
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amyeroberts authored
* Enable instantiating model with pretrained backbone weights * Remove doc updates until changes made in modeling code * Use load_backbone instead * Add use_timm_backbone to the model configs * Add missing imports and arguments * Update docstrings * Make sure test is properly configured * Include recent DPT updates
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- 23 Jan, 2024 1 commit
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amyeroberts authored
* Enable instantiating model with pretrained backbone weights * Update tests so backbone checkpoint isn't passed in * Remove doc updates until changes made in modeling code * Clarify pretrained import * Update configs - docs and validation check * Update src/transformers/utils/backbone_utils.py Co-authored-by:
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- 03 Jan, 2024 1 commit
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Connor Henderson authored
* start - docs, SpeechT5 copy and rename * add relevant code from FastSpeech2 draft, have tests pass * make it an actual conformer, demo ex. * matching inference with original repo, includes debug code * refactor nn.Sequentials, start more desc. var names * more renaming * more renaming * vocoder scratchwork * matching vocoder outputs * hifigan vocoder conversion script * convert model script, rename some config vars * replace postnet with speecht5's implementation * passing common tests, file cleanup * expand testing, add output hidden states and attention * tokenizer + passing tokenizer tests * variety of updates and tests * g2p_en pckg setup * import structure edits * docstrings and cleanup * repo consistency * deps * small cleanup * forward signature param order * address comments except for masks and labels * address comments on attention_mask and labels * address second round of comments * remove old unneeded line * address comments part 1 * address comments pt 2 * rename auto mapping * fixes for failing tests * address comments part 3 (bart-like, train loss) * make style * pass config where possible * add forward method + tests to WithHifiGan model * make style * address arg passing and generate_speech comments * address Arthur comments * address Arthur comments pt2 * lint changes * Sanchit comment * add g2p-en to doctest deps * move up self.encoder * onnx compatible tensor method * fix is symbolic * fix paper url * move models to espnet org * make style * make fix-copies * update docstring * Arthur comments * update docstring w/ new updates * add model architecture images * header size * md wording update * make style
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- 30 Nov, 2023 1 commit
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Yoach Lacombe authored
* add working convertion script * first non-working version of modeling code * update modeling code (working) * make style * make fix-copies * add config docstrings * add config to ignore docstrings formatage due to unconventional markdown * fix copies * fix generation num_return_sequences * enrich docs * add and fix tests beside integration tests * update integration tests * update repo id * add tie weights and make style * correct naming in .md * fix imports and so on * correct docstrings * fix fp16 speech forward * fix speechencoder attention * make style * fix copied from * rename SeamlessM4Tv2-v2 to SeamlessM4Tv2 * Apply suggestions on configuration Co-authored-by:
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- 24 Nov, 2023 1 commit
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Yih-Dar authored
* fix * fix * trigger * Apply suggestions from code review Co-authored-by:
Lysandre Debut <hi@lysand.re> * tic * revert * revert --------- Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
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- 23 Oct, 2023 1 commit
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Yoach Lacombe authored
* first raw commit * still POC * tentative convert script * almost working speech encoder conversion scripts * intermediate code for encoder/decoders * add modeling code * first version of speech encoder * make style * add new adapter layer architecture * add adapter block * add first tentative config * add working speech encoder conversion * base model convert works now * make style * remove unnecessary classes * remove unecessary functions * add modeling code speech encoder * rework logics * forward pass of sub components work * add modeling codes * some config modifs and modeling code modifs * save WIP * new edits * same output speech encoder * correct attention mask * correct attention mask * fix generation * new generation logics * erase comments * make style * fix typo * add some descriptions * new state * clean imports * add tests * make style * make beam search and num_return_sequences>1 works * correct edge case issue * correct SeamlessM4TConformerSamePadLayer copied from * replace ACT2FN relu by nn.relu * remove unecessary return variable * move back a class * change name conformer_attention_mask ->conv_attention_mask * better nit code * add some Copied from statements * small nits * small nit in dict.get * rename t2u model -> conditionalgeneration * ongoing refactoring of structure * update models architecture * remove SeamlessM4TMultiModal classes * add tests * adapt tests * some non-working code for vocoder * add seamlessM4T vocoder * remove buggy line * fix some hifigan related bugs * remove hifigan specifc config * change * add WIP tokenization * add seamlessM4T working tokenzier * update tokenization * add tentative feature extractor * Update converting script * update working FE * refactor input_values -> input_features * update FE * changes in generation, tokenizer and modeling * make style and add t2u_decoder_input_ids * add intermediate outputs for ToSpeech models * add vocoder to speech models * update valueerror * update FE with languages * add vocoder convert * update config docstrings and names * update generation code and configuration * remove todos and update config.pad_token_id to generation_config.pad_token_id * move block vocoder * remove unecessary code and uniformize tospeech code * add feature extractor import * make style and fix some copies from * correct consistency + make fix-copies * add processor code * remove comments * add fast tokenizer support * correct pad_token_id in M4TModel * correct config * update tests and codes + make style * make some suggested correstion - correct comments and change naming * rename some attributes * rename some attributes * remove unecessary sequential * remove option to use dur predictor * nit * refactor hifigan * replace normalize_mean and normalize_var with do_normalize + save lang ids to generation config * add tests * change tgt_lang logic * update generation ToSpeech * add support import SeamlessM4TProcessor * fix generate * make tests * update integration tests, add option to only return text and update tokenizer fast * fix wrong function call * update import and convert script * update integration tests + update repo id * correct paths and add first test * update how new attention masks are computed * update tests * take first care of batching in vocoder code * add batching with the vocoder * add waveform lengths to model outputs * make style * add generate kwargs + forward kwargs of M4TModel * add docstrings forward methods * reformate docstrings * add docstrings t2u model * add another round of modeling docstrings + reformate speaker_id -> spkr_id * make style * fix check_repo * make style * add seamlessm4t to toctree * correct check_config_attributes * write config docstrings + some modifs * make style * add docstrings tokenizer * add docstrings to processor, fe and tokenizers * make style * write first version of model docs * fix FE + correct FE test * fix tokenizer + add correct integration tests * fix most tokenization tests * make style * correct most processor test * add generation tests and fix num_return_sequences > 1 * correct integration tests -still one left * make style * correct position embedding * change numbeams to 1 * refactor some modeling code and correct one test * make style * correct typo * refactor intermediate fnn * refactor feedforward conformer * make style * remove comments * make style * fix tokenizer tests * make style * correct processor tests * make style * correct S2TT integration * Apply suggestions from Sanchit code review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * correct typo * replace torch.nn->nn + make style * change Output naming (waveforms -> waveform) and ordering * nit renaming and formating * remove return None when not necessary * refactor SeamlessM4TConformerFeedForward * nit typo * remove almost copied from comments * add a copied from comment and remove an unecessary dropout * remove inputs_embeds from speechencoder * remove backward compatibiliy function * reformate class docstrings for a few components * remove unecessary methods * split over 2 lines smthg hard to read * make style * replace two steps offset by one step as suggested * nice typo * move warnings * remove useless lines from processor * make generation non-standard test more robusts * remove torch.inference_mode from tests * split integration tests * enrich md * rename control_symbol_vocoder_offset->vocoder_offset * clean convert file * remove tgt_lang and src_lang from FE * change generate docstring of ToText models * update generate docstring of tospeech models * unify how to deal withtext_decoder_input_ids * add default spkr_id * unify tgt_lang for t2u_model * simplify tgt_lang verification * remove a todo * change config docstring * make style * simplify t2u_tgt_lang_id * make style * enrich/correct comments * enrich .md * correct typo in docstrings * add torchaudio dependency * update tokenizer * make style and fix copies * modify SeamlessM4TConverter with new tokenizer behaviour * make style * correct small typo docs * fix import * update docs and add requirement to tests * add convert_fairseq2_to_hf in utils/not_doctested.txt * update FE * fix imports and make style * remove torchaudio in FE test * add seamless_m4t.md to utils/not_doctested.txt * nits and change the way docstring dataset is loaded * move checkpoints from ylacombe/ to facebook/ orga * refactor warning/error to be in the 119 line width limit * round overly precised floats * add stereo audio behaviour * refactor .md and make style * enrich docs with more precised architecture description * readd undocumented models * make fix-copies * apply some suggestions * Apply suggestions from code review Co-authored-by:
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- 18 Oct, 2023 1 commit
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Pablo Montalvo authored
* initial commit * add processor, add fuyu naming * add draft processor * fix processor * remove dropout to fix loading of weights * add image processing fixes from Pedro * fix * fix processor * add basic processing fuyu test * add documentation and TODO * address comments, add tests, add doc * replace assert with torch asserts * add Mixins and fix tests * clean imports * add model tester, clean imports * fix embedding test * add updated tests from pre-release model * Processor: return input_ids used for inference * separate processing and model tests * relax test tolerance for embeddings * add test for logit comparison * make sure fuyu image processor is imported in the init * fix formattingh * more formatting issues * and more * fixups * remove some stuff * nits * update init * remove the fuyu file * Update integration test with release model * Update conversion script. The projection is not used, as confirmed by the authors. * improve geenration * Remove duplicate function * Trickle down patches to model call * processing fuyu updates * remove things * fix prepare_inputs_for_generation to fix generate() * remove model_input * update * add generation tests * nits * draft leverage automodel and autoconfig * nits * fix dtype patch * address comments, update READMEs and doc, include tests * add working processing test, remove refs to subsequences * add tests, remove Sequence classification * processing * update * update the conversion script * more processing cleanup * safe import * take out ModelTesterMixin for early release * more cl;eanup * more cleanup * more cleanup * and more * register a buffer * nits * add postprocessing of generate output * nits * updates * add one working test * fix test * make fixup works * fixup * Arthur's updates * nits * update * update * fix processor * update tests * passe more fixups * fix * nits * don't import torch * skip fuyu config for now * fixup done * fixup * update * oups * nits * Use input embeddings * no buffer * update * styling processing fuyu * fix test * update licence * protect torch import * fixup and update not doctested * kwargs should be passed * udpates * update the impofixuprts in the test * protect import * protecting imports * protect imports in type checking * add testing decorators * protect top level import structure * fix typo * fix check init * move requires_backend to functions * Imports * Protect types --------- Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
Lysandre <lysandre@huggingface.co>
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- 01 Sep, 2023 1 commit
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Matthijs Hollemans authored
* add VITS model * let's vits * finish TextEncoder (mostly) * rename VITS to Vits * add StochasticDurationPredictor * ads flow model * add generator * correctly set vocab size * add tokenizer * remove processor & feature extractor * add PosteriorEncoder * add missing weights to SDP * also convert LJSpeech and VCTK checkpoints * add training stuff in forward * add placeholder tests for tokenizer * add placeholder tests for model * starting cleanup * let the great renaming begin! * use config * global_conditioning * more cleaning * renaming variables * more renaming * more renaming * it never ends * reticulating the splines * more renaming * HiFi-GAN * doc strings for main model * fixup * fix-copies * don't make it a PreTrainedModel * fixup * rename config options * remove training logic from forward pass * simplify relative position * use actual checkpoint * style * PR review fixes * more review changes * fixup * more unit tests * fixup * fix doc test * add integration test * improve tokenizer tests * add tokenizer integration test * fix tests on GPU (gave OOM) * conversion script can handle repos from hub * add conversion script for all MMS-TTS checkpoints * automatically create a README for the converted checkpoint * small changes to config * push README to hub * only show uroman note for checkpoints that need it * remove conversion script because code formatting breaks the readme * make WaveNet layers configurable * rename variables * simplifying the math * output attentions and hidden states * remove VitsFlip in flow model * also got rid of the other flip * fix tests * rename more variables * rename tokenizer, add phonemization * raise error when phonemizer missing * re-order config docstrings to match method * change config naming * remove redundant str -> list * fix copyright: vits authors -> kakao enterprise * (mean, log_variances) -> (prior_mean, prior_log_variances) * if return dict -> if not return dict * speed -> speaking rate * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * update fused tanh sigmoid * reduce dims in tester * audio -> output_values * audio -> output_values in tuple out * fix return type * fix return type * make _unconstrained_rational_quadratic_spline a function * all nn's to accept a config * add spectro to output * move {speaking rate, noise scale, noise scale duration} to config * path -> attn_path * idxs -> valid idxs -> padded idxs * output values -> waveform * use config for attention * make generation work * harden integration test * add spectrogram to dict output * tokenizer refactor * make style * remove 'fake' padding token * harden tokenizer tests * ron norm test * fprop / save tests deterministic * move uroman to tokenizer as much as possible * better logger message * fix vivit imports * add uroman integration test * make style * up * matthijs -> sanchit-gandhi * fix tokenizer test * make fix-copies * fix dict comprehension * fix config tests * fix model tests * make outputs consistent with reverse/not reverse * fix key concat * more model details * add author * return dict * speaker error * labels error * Apply suggestions from code review Co-authored-by:
sanchit-gandhi <sanchit@huggingface.co> Co-authored-by:
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- 21 Aug, 2023 1 commit
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Susnato Dhar authored
* init commit * config updated also some modeling * Processor and Model config combined * extraction pipeline(upto before spectogram & mel_conditioner) added but not properly tested * model loading successful! * feature extractor done! * FE can now be called from HF * postprocessing added in fe file * same as prev commit * Pop2PianoConfig doc done * cfg docs slightly changed * fe docs done * batched * batched working! * temp * v1 * checking * trying to go with generate * with generate and model tests passed * before rebasing * . * tests done docs done remaining others & nits * nits * LogMelSpectogram shifted to FeatureExtractor * is_tf rmeoved from pop2piano/init * import solved * tokenization tests added * minor fixed regarding modeling_pop2piano * tokenizer changed to only return midi_object and other changes * Updated paper abstract(Camera-ready version) (#2) * more comments and nits * ruff changes * code quality fix * sg comments * t5 change added and rebased * comments except batching * batching done * comments * small doc fix * example removed from modeling * ckpt * forward it compatible with fe and generation done * comments * comments * code-quality fix(maybe) * ckpts changed * doc file changed from mdx to md * test fixes * tokenizer test fix * changes * nits done main changes remaining * code modified * Pop2PianoProcessor added with tests * other comments * added Pop2PianoProcessor to dummy_objects * added require_onnx to modeling file * changes * update .md file * remove extra line in index.md * back to the main index * added pop2piano to index * Added tokenizer.__call__ with valid args and batch_decode and aligned the processor part too * changes * added return types to 2 tokenizer methods * the PR build test might work now * added backends * PR build fix * vocab added * comments * refactored vocab into 1 file * added conversion script * comments * essentia version changed in .md * comments * more tokenizer tests added * minor fix * tests extended for outputs acc check * small fix --------- Co-authored-by:Jongho Choi <sweetcocoa@snu.ac.kr>
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- 18 Aug, 2023 1 commit
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Stas Bekman authored
* rename * restore * mappings * unedited tests+docs * docs * fixes * fix auto-sync breakage * cleanup * wip * wip * add fetch_images * remove einops dependency * update * fix * fix * fix * fix * fix * re-add * add batching * rework * fix * improve * add Leo as I am extending his work * cleanup * fix * cleanup * slow-test * fix * fix * fixes * deal with warning * rename modified llama classes * rework fetch_images * alternative implementation * cleanup * strict version * cleanup * [`IDEFICS`]聽Fix idefics ci (#25056) * Fix IDEFICS CI * fix test file * fixup * some changes to make tests pass * fix * fixup * Update src/transformers/models/idefics/configuration_idefics.py Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> --------- Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * upcase * sequence of images * handle the case with no images * Update src/transformers/image_processing_utils.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * support pure lm take 2 * support tokenizer options * parameterize num_channels * fix upcase * s|IdeficsForCausalLM|IdeficsForVisionText2Text|g * manual to one line * addressing review * unbreak * remove clip dependency * fix test * consistency * PIL import * Idefics prefix * Idefics prefix * hack to make tests work * style * fix * fix * revert * try/finally * cleanup * clean up * move * [`IDEFICS`] Fix idefics config refactor (#25149) * refactor config * nuke init weights * more refactor * oops * remove visual question answering pipeline support * Update src/transformers/models/idefics/clip.py Co-authored-by:
Stas Bekman <stas@stason.org> * fix * license * condition on pt * fix * style * fix * rm torchvision dependency, allow custom transforms * address review * rework device arg * add_eos_token * s/transforms/transform/ * fix top level imports * fix return value * cleanup * cleanup * fix * style * license * license * Update src/transformers/models/idefics/image_processing_idefics.py Co-authored-by:
Leo Tronchon <leo.tronchon@gmail.com> * address review comments * inject automatic end of utterance tokens (#25218) * inject automatic end of utterance tokens * fix * fix * fix * rework to not use the config * not end_of_utterance_token at the end * Update src/transformers/models/idefics/processing_idefics.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/image_processing_utils.py Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> * [`Idefics`] add image_embeddings option in generate-related methods (#25442) * add image_embeddings option in generate-related methods * style * rename image_embeddings and allow perceiver embeddings precomputation * compute embeddings within generate * make is_encoder_decoder= True the default in config * nested if else fix * better triple check * switch if elif order for pixel values / img embeds * update model_kwargs perceiver only at the end * use _prepare_model_inputs instead of encoder_decoder logic * fix comment typo * fix config default for is_encoder_decoder * style * add typehints * precompute in forward * doc builder * style * pop instead of get image hidden states * Trigger CI * Update src/transformers/models/idefics/modeling_idefics.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
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- 25 Jul, 2023 1 commit
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Arthur authored
* draft add new model like * some cleaning of the config * nits * add nested configs * nits * update * update * added layer norms + triton kernels * consider only LPLayerNorm for now. * update * all keys match. * Update * fixing nits here and there * working forward pass. * removed einops dependency * nits * format * add alibi * byebye head mask * refactor attention * nits. * format * fix nits. * nuke ande updates * nuke tokenizer test * don't reshape query with kv heads * added a bit of documentation. * remove unneeded things * nuke more stuff * nit * logits match - same generations * rm unneeded methods * 1 remaining failing CI test * nit * fix nits * fix docs * fix docs * rm tokenizer * fixup * fixup * fixup and fix tests * fixed configuration object. * use correct activation * few minor fixes * clarify docs a bit * logits match 脿 1e-12 * skip and unskip a test * added some slow tests. * fix readme * add more details * Update docs/source/en/model_doc/mpt.md Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
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- 20 Jul, 2023 1 commit
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Tom Aarsen authored
* Resolve typo in check_repo.py * Specify encoding when opening modeling files * Deprecate the OpenLlama architecture * Add disclaimer pointing to Llama I'm open to different wordings here * Match the capitalisation of LLaMA
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- 13 Jul, 2023 1 commit
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Sylvain Gugger authored
* Deprecate some models * Fix imports * Fix inits too * Remove tests * Add deprecated banner to documentation * Remove from init * Fix auto classes * Style * Remote upgrade strategy 1 * Remove site package cache * Revert this part * Fix typo... * Update utils * Update docs/source/en/model_doc/bort.md Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> * Address review comments * With all files saved --------- Co-authored-by:
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- 07 Jul, 2023 1 commit
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Arthur authored
* update * add umt5 to auto tokenizer mapping * nits * fixup * fix failing torch test
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- 15 Jun, 2023 1 commit
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Yih-Dar authored
* fix --------- Co-authored-by:
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- 14 Jun, 2023 1 commit
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Matthijs Hollemans authored
* boilerplate stuff * messing around with the feature extractor * fix feature extractor * unit tests for feature extractor * rename speech to audio * quick-and-dirty import of Meta's code * import weights (sort of) * cleaning up * more cleaning up * move encoder/decoder args into config * cleanup model * rename EnCodec -> Encodec * RVQ parameters in config * add slow test * add lstm init and test_init * Add save & load * finish EncodecModel * remove decoder_input_values as they are ont used anywhere (not removed from doc yet) * fix test feature extraction model name * Add better slow test * Fix tests * some fixup and cleaning * Improve further * cleaning up quantizer * fix up conversion script * test don't pass, _encode_fram does not work * update tests with output per encode and decode * more cleanup * rename _codebook * remove old config cruft * ratios & hop_length * use ModuleList instead of Sequential * clean up resnet block * update types * update tests * fixup * quick cleanup * fix padding * more styl,ing * add patrick feedback * fix copies * fixup * fix lstm * fix shape issues * fixup * rename conv layers * fixup * fix decoding * small conv refactoring * remove norm_params * simplify conv layers * rename conv layers * stuff * Clean up * Add padding logic use padding mask small conv refactoring remove norm_params simplify conv layers rename conv layers stuff add batched test update Clean up merge and update for padding fix padding fixup * clean up more * clean up more * More clean ups * cleanup convolutions * typo * fix typos * fixup * build PR doc? * start refactoring docstring * fix don't pad when no strid and chunk * update docstring * update docstring * nits * update going to lunch * update config and model * fix broken testse (becaue of the config changes) * fix scale computation * fixu[ * only return dict if speciefied or if config returns it * remove todos * update defaults in config * update conversion script * fix doctest * more docstring + fixup * nits on batched_tests * more nits * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * update basxed on review * fix update * updaet tests * Apply suggestions from code review Co-authored-by:
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- 06 Jun, 2023 1 commit
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amyeroberts authored
* Add test_backbone for convnext * Add TimmBackbone model * Add check for backbone type * Tidying up - config checks * Update convnextv2 * Tidy up * Fix indices & clearer comment * Exceptions for config checks * Correclty update config for tests * Safer imports * Safer safer imports * Fix where decorators go * Update import logic and backbone tests * More import fixes * Fixup * Only import all_models if torch available * Fix kwarg updates in from_pretrained & main rebase * Tidy up * Add tests for AutoBackbone * Tidy up * Fix import error * Fix up * Install nattan in doc_test_job * Revert back to setting self._out_xxx directly * Bug fix - out_indices mapping from out_features * Fix tests * Dont accept output_loading_info for Timm models * Set out_xxx and don't remap * Use smaller checkpoint for test * Don't remap timm indices - check out_indices based on stage names * Skip test as it's n/a * Apply suggestions from code review Co-authored-by:
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- 30 May, 2023 1 commit
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Eli Simhayev authored
* ran `transformers-cli add-new-model-like` * added `AutoformerLayernorm` and `AutoformerSeriesDecomposition` * added `decomposition_layer` in `init` and `moving_avg` to config * added `AutoformerAutoCorrelation` to encoder & decoder * removed caninical self attention `AutoformerAttention` * added arguments in config and model tester. Init works!
馃榿 * WIP autoformer attention with autocorrlation * fixed `attn_weights` size * wip time_delay_agg_training * fixing sizes and debug time_delay_agg_training * aggregation in training works!馃榿 * `top_k_delays` -> `top_k_delays_index` and added `contiguous()` * wip time_delay_agg_inference * finish time_delay_agg_inference馃槑 * added resize to autocorrelation * bug fix: added the length of the output signal to `irfft` * `attention_mask = None` in the decoder * fixed test: changed attention expected size, `test_attention_outputs` works! * removed unnecessary code * apply AutoformerLayernorm in final norm in enc & dec * added series decomposition to the encoder * added series decomp to decoder, with inputs * added trend todos * added autoformer to README * added to index * added autoformer.mdx * remove scaling and init attention_mask in the decoder * make style * fix copies * make fix-copies * inital fix-copies * fix from https://github.com/huggingface/transformers/pull/22076 * make style * fix class names * added trend * added d_model and projection layers * added `trend_projection` source, and decomp layer init * added trend & seasonal init for decoder input * AutoformerModel cannot be copied as it has the decomp layer too * encoder can be copied from time series transformer * fixed generation and made distrb. out more robust * use context window to calculate decomposition * use the context_window for decomposition * use output_params helper * clean up AutoformerAttention * subsequences_length off by 1 * make fix copies * fix test * added init for nn.Conv1d * fix IGNORE_NON_TESTED * added model_doc * fix ruff * ignore tests * remove dup * fix SPECIAL_CASES_TO_ALLOW * do not copy due to conv1d weight init * remove unused imports * added short summary * added label_length and made the model non-autoregressive * added params docs * better doc for `factor` * fix tests * renamed `moving_avg` to `moving_average` * renamed `factor` to `autocorrelation_factor` * make style * Update src/transformers/models/autoformer/configuration_autoformer.py Co-authored-by:NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/autoformer/configuration_autoformer.py Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by:
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- 07 Mar, 2023 1 commit
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Eli Simhayev authored
* added informer to gitignore * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * moved enc-dec init to InformerEncoder/Decoder init * added 'init_std' to config, now model init works! * WIP conversion script, and added code sources * WIP conversion script: loading original informer pth works * WIP conversion script: change defaults in the config * WIP conversion script: supporting Informer input embedding * WIP conversion script: added parameters for the informer embed * WIP conversion script: change dim_feedforward=2048 * WIP conversion script: remove unused args for loading checkpoint * just cleaning up * DataEmbedding removed, after thinking with Kashif * working on forward pass * WIP forward pass: trying to establish working batch for forward pass * cleaning and finalizing * adding HF names and docs * init after cleaning works * WIP in tests * added docs for the informer specific args * fix style * undo change * cleaning informer, now need to work only enc-dec * initial enc-dec classes * added encoder and decoder * added todo * add todos for conv_layers * added decoder docs from vanilla * added encoder docs from vanilla * remove encoder decoder from the original informer * removed AttentionLayer from the original paper * removed TriangularCausalMask, same as decoder_attention_mask * initial sparse attention * use conv_layers * fixed test_config test * fix parenthesis when itearting zip(layers, conv_layers) * error found in prob attention, added sizes as comments * fix sizes * added proposal for q_reduce indexing, and remove unused * WIP ProbMask, and changed factor=2 for testing * remove unused libs for this PR for creating the env * fix checking the attn_weights.size() after bmm * Q_reduce: changed from torch.gather to simple slicing * WIP calculate final attn_output * finish adding v_aggregated, attn_output ready * changed tgt_len to u in attention_mask, need to fix the size error * comment attention_mask for encoder, and fix if cond for v_agg * added ProbMask support (wip), removed old original code * finished ProbMask
馃槂 * Revert "remove unused libs for this PR for creating the env" This reverts commit 11a081e09e92771e51a5d2758d53a9afb59547f0. * fixes * make style * fix initial tests * fix more tests * dry * make style * remove unused files * style * added integration tests * fix num_static_real_features * fix header * remove unused function * fix example * fix docs * Update src/transformers/models/informer/configuration_informer.py Co-authored-by:
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- 16 Feb, 2023 1 commit
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Connor Henderson authored
* refactor: Make direct_import util * edit direct import fn * add docstring * make import function specific to transformers only * edit doc string
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- 15 Feb, 2023 1 commit
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Sylvain Gugger authored
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- 10 Feb, 2023 1 commit
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Yih-Dar authored
* Remove unused decoder_layerdrop * Update SPECIAL_CASES_TO_ALLOW for MT5Config * Remove unused position_embedding_init_scale * Remove unused decoder_max_relative_position * Use unused decoder_max_relative_position * Remove unused init_std * Remove unused forgotten attributes * Remove unused patch_norm * Remove unused max_seq_len * Update SPECIAL_CASES_TO_ALLOW for OneFormerConfig --------- Co-authored-by:
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- 07 Feb, 2023 1 commit
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Yih-Dar authored
* Add a new test to check config attributes being used * Add a new test to check config attributes being used * Add a new test to check config attributes being used * Apply suggestions from code review Co-authored-by:
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