- 08 Jan, 2024 1 commit
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Rosie Wood authored
* add segmentation map processing to sam image processor * fixup * add tests * reshaped_input_size is shape before padding * update tests for size/shape outputs * fixup * add code snippet to docs * Update docs/source/en/model_doc/sam.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Add missing backticks * add `segmentation_maps` as arg for SamProcessor.__call__() --------- 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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- 20 Dec, 2023 1 commit
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Sourab Mangrulkar authored
* fix fa2 * fix FA2 for popular models * improve warning and add Younes as co-author Co-Authored-By:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/modeling_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix the warning * Add Tip * typo fix * nit --------- Co-authored-by:
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- 19 Dec, 2023 1 commit
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Aaron Jimenez authored
Fix mistral link in mixtral.md
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- 18 Dec, 2023 1 commit
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Aeneas Stankowski authored
Update mixtral.md correct minor typo in overview
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- 15 Dec, 2023 1 commit
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Younes Belkada authored
* Update vipllava.md * Update modeling_vipllava.py
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- 14 Dec, 2023 1 commit
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Sanchit Gandhi authored
* [Seamless] Fix links in docs * apply suggestions from code review
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- 13 Dec, 2023 1 commit
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Younes Belkada authored
* v1 * add-new-model-like * revert * fix forward and conversion script * revert * fix copies * fixup * fix * Update docs/source/en/index.md * Apply suggestions from code review * push * fix * fixes here and there * up * fixup and fix tests * Apply suggestions from code review * add docs * fixup * fixes * docstring * add docstring * fixup * docstring * fixup * nit * docs * more copies * fix copies * nit * update test
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- 11 Dec, 2023 4 commits
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NielsRogge authored
Update formats
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Timon K盲ch authored
fix parameter count in readme
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Arthur authored
* up * up * test * logits ok * up * up * few fixes * conversion script * up * nits * nits * update * nuke * more updates * nites * fix many issues * nit * scatter * nit * nuke megablocks * nits * fix conversion script * nit * remove * nits * nit * update * oupsssss * change * nits device * nits * fixup * update * merge * add copied from * fix the copy mentions * update tests * more fixes * nits * conversion script * add parts of the readme * Update tests/models/mixtral/test_modeling_mixtral.py Co-authored-by:
Lysandre Debut <hi@lysand.re> * Update docs/source/en/model_doc/mixtral.md Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
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NielsRogge authored
* More improvements * Improve variable names * Update READMEs, improve docs
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- 08 Dec, 2023 1 commit
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fxmarty authored
* add sdpa * wip * cleaning * add ref * yet more cleaning * and more :) * wip llama * working llama * add output_attentions=True support * bigcode sdpa support * fixes * gpt-bigcode support, require torch>=2.1.1 * add falcon support * fix conflicts falcon * style * fix attention_mask definition * remove output_attentions from attnmaskconverter * support whisper without removing any Copied from statement * fix mbart default to eager renaming * fix typo in falcon * fix is_causal in SDPA * check is_flash_attn_2_available in the models init as well in case the model is not initialized through from_pretrained * add warnings when falling back on the manual implementation * precise doc * wip replace _flash_attn_enabled by config.attn_implementation * fix typo * add tests * style * add a copy.deepcopy on the config in from_pretrained, as we do not want to modify it inplace * obey to config.attn_implementation if a config is passed in from_pretrained * fix is_torch_sdpa_available when torch is not installed * remove dead code * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
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- 07 Dec, 2023 3 commits
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Younes Belkada authored
* add model like * logits match * minor fixes * fixes * up * up * add todo * llava processor * keep the processor simple * add conversion script * fixup * fix copies * up * add to index * fix config + logits * fix * refactor * more refactor * more refactor * fix copies * add authors * v1 tests * add `LlavaProcessor` in init * remove unneeded import * up * up * docs * up * fix CI * fix CI * add attention mask in test * make fixup * remove the vision model * that' s the dirty way to do it * nits * nits * updates * add more tests * add input tests * fixup * more styling * nits * updates amd cleanup * fixup the generation expected results * fix the testing script * some cleanup and simplification which does not work yet but almost there! * make correct dispatch operations * vectorize works for batch of images and text * last todos * nits * update test and modeling code * remove useless function for now * fix few issues * fix generation * some nits * add bakllava * nits * remove duplicated code * finis merge * cleanup * missed this line * fill the todos * add left padding offset * add left and rignt padding logic * bool to properly index * make sure * more cleanups * batch is fixed
馃槈 * add correct device for tensor creation * fix some dtype missmatch * ruff * update conversion script * Update src/transformers/__init__.py * fa 2 support + fix conversion script * more * correct reshaping * fix test dict * fix copies by ignoring * fix nit * skip clip vision model * fixup * fixup * LlavaForVisionText2Text -> LlavaForCausalLM * update * fix * raise correct errors * fix * docs * nuke for now * nits here and there * fixup * fix remaining tests * update LlavaForConditionalGeneration instead of CausalLM * fixups * pipeline support * slow and piepline tests * supports batch * nits * cleanup * fix first integration tests * add pad token where needed * correct etsts * fixups * update pipeline testr * fix quality * nits * revert unneeded change * nit * use BatchFeature * from ...feature_extraction_utils import BatchFeature * nits * nits * properly update * more f*** nits * fix copies * comment * keep slow test slow * Update src/transformers/models/llava/processing_llava.py Co-authored-by:Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by:
shauray8 <shauray8@users.noreply.github.com> Co-authored-by:
haotian-liu <haotian-liu@users.noreply.github.com> Co-authored-by:
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Susnato Dhar authored
* add FA and modify doc file * test_flash_attn_2_generate_padding_right test overwritten * comment * modify persimmon modeling file * added speedup graph * more changes
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Alex McKinney authored
* Copies `modeling_flax_gpt_neo.py` to start * MLP Block. WIP Attention and Block * Adds Flax implementation of `LlamaMLP` Validated with in-file test. Some slight numeric differences, but assuming it isn't an issue * Adds `FlaxLlamaRMSNorm` layer `flax.linen` includes `RMSNorm` layer but not necessarily in all versions. Hence, we add in-file. * Adds FlaxLlamaAttention Copied from GPT-J as it has efficient caching implementation as well as rotary embeddings. Notice numerically different, but not by a huge amount. Needs investigating * Adds `FlaxLlamaDecoderLayer` numerically inaccurate, debugging.. * debugging rotary mismatch gptj uses interleaved whilst llama uses contiguous i think they match now but still final result is wrong. maybe drop back to just debugging attention layer? * fixes bug with decoder layer still somewhat numerically inaccurate, but close enough for now * adds markers for what to implement next the structure here diverges a lot from the PT version. not a big fan of it, but just get something working for now * implements `FlaxLlamaBlockCollection`] tolerance must be higher than expected, kinda disconcerting * Adds `FlaxLlamaModule` equivalent PyTorch model is `LlamaModel` yay! a language model
馃 * adds `FlaxLlamaForCausalLMModule` equivalent to `LlamaForCausalLM` still missing returning dict or tuple, will add later * start porting pretrained wrappers realised it probably needs return dict as a prereq * cleanup, quality, style * readds `return_dict` and model output named tuples * (tentatively) pretrained wrappers work馃敟 * fixes numerical mismatch in `FlaxLlamaRMSNorm` seems `jax.lax.rsqrt` does not match `torch.sqrt`. manually computing `1 / jax.numpy.sqrt` results in matching values. * [WIP] debugging numerics * numerical match I think issue was accidental change of backend. forcing CPU fixes test. We expect some mismatch on GPU. * adds in model and integration tests for Flax Llama summary of failing: - mul invalid combination of dimensions - one numerical mismatch - bf16 conversion (maybe my local backend issue) - params are not FrozenDict * adds missing TYPE_CHECKING import and `make fixup` * adds back missing docstrings needs review on quality of docstrings, not sure what is required. Furthermore, need to check if `CHECKPOINT_FOR_DOC` is valid. See TODO * commenting out equivalence test as can just use common * debugging * Fixes bug where mask and pos_ids were swapped in pretrained models This results in all tests passing now馃敟 * cleanup of modeling file * cleanup of test file * Resolving simpler review comments * addresses more minor review comments * fixing introduced pytest errors from review * wip additional slow tests * wip tests need to grab a GPU machine to get real logits for comparison otherwise, slow tests should be okay * `make quality`, `make style` * adds slow integration tests - checking logits - checking hidden states - checking generation outputs * `make fix-copies` * fix mangled function following `make fix-copies` * adds missing type checking imports * fixes missing parameter checkpoint warning * more finegrained 'Copied from' tags avoids issue of overwriting `LLAMA_INPUTS_DOCSTRING` * swaps import guards ??? how did these get swapped initially? * removing `inv_freq` again as pytorch version has now removed * attempting to get CI to pass * adds doc entries for llama flax models * fixes typo in __init__.py imports * adds back special equivalence tests these come from the gpt neo flax tests. there is special behaviour for these models that needs to override the common version * overrides tests with dummy to see if CI passes need to fill in these tests later * adds my contribution to docs * `make style; make quality` * replaces random masking with fixed to work with flax version * `make quality; make style` * Update src/transformers/models/llama/modeling_flax_llama.py Co-authored-by:Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/llama/modeling_flax_llama.py Co-authored-by:
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- 06 Dec, 2023 2 commits
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Rockerz authored
* Add models * Add models and update `_toctree.yml` * Update docs/source/ja/model_doc/chinese_clip.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/model_doc/camembert.md Co-authored-by:
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Younes Belkada authored
* add flash-attn-2 support for GPT-neo-x * fixup * add comment * revert * fixes * update docs * comment * again * fix copies * add plot + fix copies * Update docs/source/en/model_doc/gpt_neox.md
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- 05 Dec, 2023 1 commit
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Arindam Jati authored
* patchtsmixer initial commit * x,y->context_values,target_values, unittest addded * cleanup code * minor * return hidden states * model tests, partial integration tests * ettm notebook temporary * minor * config mask bug fix, tests updated * final ETT notebooks * add selfattn * init * added docstrings * PatchTSMixerForPretraining -> PatchTSMixerForMaskPretraining * functionality tests added * add start and input docstrings * docstring edits * testcase edits * minor changes * docstring error fixed * ran make fixup * finalize integration tests and docs * minor * cleaned gitignore * added dataclass decorator, ran black formatter * ran ruff * formatting * add slow decorator * renamed in_Channel to input_size and default to 1 * shorten dataclass names * use smaller model for testing * moved the 3 heads to the modeling file * use scalers instead of revin * support forecast_channel_indices * fix regression scaling * undo reg. scaling * removed unneeded classes * forgot missing * add more layers * add copied positional_encoding * use patchmask from patchtst * removed dependency on layers directory * formatting * set seed * removed unused imports * fixed forward signature test * adding distributional head for PatchTSMixerForecasting * add generate to forecast * testcases for generate * add generate and distributional head for regression * raise Exception for negative values for neg binominal distribution * formatting changes * remove copied from patchtst and add TODO for test passing * make copies * doc edits * minor changes * format issues * minor changes * minor changes * format docstring * change some class names to PatchTSMixer + class name Transpose to PatchTSMixerTranspose GatedAttention to PatchTSMixerGatedAttention * change NormLayer to PatchTSMixerNormLayer * change MLP to PatchTSMixerMLP * change PatchMixer to PatchMixerBlock, FeatureMixer to FeatureMixerBlock * change ChannelFeatureMixer to ChannelFeatureMixerBlock * change PatchMasking to PatchTSMixerMasking * change Patchify to PatchTSMixerPatchify * list to `list` * fix docstrings * formatting * change bs to batch_size, edit forecast_masking * edit random_masking * change variable name and update docstring in PatchTSMixerMasking * change variable name and update docstring in InjectScalerStatistics4D * update forward call in PatchTSMixerTranspose * change variable name and update docstring in PatchTSMixerNormLayer * change variable name and update docstring in PatchTSMixerMLP * change variable name and update docstring in ChannelFeatureMixerBlock * formatting * formatting issues * docstring issue * fixed observed_mask type in docstrings * use FloatTensor type * formatting * fix rescaling issue in forecasting, fixed integration tests * add docstring from decorator * fix docstring * Update README.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/patchtsmixer/configuration_patchtsmixer.py Co-authored-by:
Arindam Jati <arindam.jati@ibm.com> Co-authored-by:
vijaye12 <vijaye12@in.ibm.com> Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by:
nnguyen <nnguyen@us.ibm.com> Co-authored-by:
vijaye12 <vijaykr.e@gmail.com> Co-authored-by:
Nam Nguyen <namctin@gmail.com> Co-authored-by:
Wesley Gifford <79663411+wgifford@users.noreply.github.com> Co-authored-by:
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- 04 Dec, 2023 3 commits
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Yih-Dar authored
* fix * fix * Use TRUST_REMOTE_CODE * fix doc * fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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fxmarty authored
* support FA2 * fix typo * fix broken tests * fix more test errors * left/right * fix bug * more test * typo * fix layout flash attention falcon * do not support this case * use allclose instead of equal * fix various bugs with flash attention * bump * fix test * fix mistral * use skiptest instead of return that may be misleading * add fix causal arg flash attention * fix copies * more explicit comment * still use self.is_causal * fix causal argument * comment * fixes * update documentation * add link * wrong test * simplify FA2 RoCm requirements * update opt * make flash_attn_uses_top_left_mask attribute private and precise comment * better error handling * fix copy & mistral * Update src/transformers/modeling_utils.py Co-authored-by:
Felix Marty <felix@hf.co> Co-authored-by:
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Sanchit Gandhi authored
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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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- 29 Nov, 2023 1 commit
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Kashif Rasul authored
* 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:
Patrick von Platen <patrick.v.platen@gmail.com> * move loss to forward * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by:
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- 28 Nov, 2023 2 commits
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Tom Aarsen authored
~transformer. -> ~transformers.
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Juarez Bochi authored
* Add madlad-400 models * Add madlad-400 to the doc table * Update docs/source/en/model_doc/madlad-400.md Co-authored-by:
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- 24 Nov, 2023 3 commits
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fxmarty authored
* reflect RoCm support in the documentation * Update docs/source/en/main_classes/trainer.md Co-authored-by:
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yoinked authored
* Update musicgen.md please make it less hidden * Add cleaner formatting
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Yih-Dar authored
* fix * fix * trigger * Apply suggestions from code review Co-authored-by:
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- 23 Nov, 2023 3 commits
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NielsRogge authored
* Add resources * Remove script * Update docs/source/en/model_doc/dinov2.md Co-authored-by:
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amyeroberts authored
Update arxiv link
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Susnato Dhar authored
* added flash attention for opt * added to list * fix use cache (#3) * style fix * fix text * test fix2 * reverted until 689f599 * torch fx tests are working now! * small fix * added TODO docstring * changes * comments and .md file modification --------- Co-authored-by:
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- 22 Nov, 2023 1 commit
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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
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- 21 Nov, 2023 2 commits
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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
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amyeroberts authored
* Enable tracing with DINOv2 model * ABC * Add note to model doc
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- 20 Nov, 2023 2 commits
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Dmitrii Mukhutdinov authored
* Enable large-v3 downloading and update language list * Fix type annotation * make fixup * Export Whisper feature extractor * Fix error after extractor loading * Do not use pre-computed mel filters * Save the full preprocessor properly * Update docs * Remove comment Co-authored-by:
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Xabier de Zuazo authored
Add `convert_hf_to_openai.py` script to Whisper documentation resources.
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- 18 Nov, 2023 1 commit
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Omar Sanseviero authored
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- 16 Nov, 2023 1 commit
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Nathaniel Egwu authored
* Updated albert.md doc for ALBERT model * Update docs/source/en/model_doc/albert.md Fixed Resources heading Co-authored-by:
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- 15 Nov, 2023 1 commit
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Yuki-Imajuku authored
* update _toctree.yml & add albert-autoformer * Fixed typo in docs/source/ja/model_doc/audio-spectrogram-transformer.md Co-authored-by:
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