- 14 Nov, 2023 2 commits
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Sihan Chen authored
* fix speecht5 wrong attention mask when padding * enable batch generation and add parameter attention_mask * fix doc * fix format * batch postnet inputs, return batched lengths, and consistent to old api * fix format * fix format * fix the format * fix doc-builder error * add test, cross attention and docstring * optimize code based on reviews * docbuild * refine * not skip slow test * add consistent dropout for batching * loose atol * add another test regarding to the consistency of vocoder * fix format * refactor * add return_concrete_lengths as parameter for consistency w/wo batching * fix review issues * fix cross_attention issue
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Arthur authored
* skip 4 tests * nits * style * wow it's not my day
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- 13 Nov, 2023 4 commits
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Gift Sinthong authored
* Initial commit of PatchTST model classes Co-authored-by:
Phanwadee Sinthong <phsinthong@gmail.com> Co-authored-by:
Nam Nguyen <namctin@gmail.com> Co-authored-by:
Vijay Ekambaram <vijaykr.e@gmail.com> Co-authored-by:
Ngoc Diep Do <55230119+diepi@users.noreply.github.com> Co-authored-by:
Wesley Gifford <79663411+wgifford@users.noreply.github.com> * Add PatchTSTForPretraining * update to include classification Co-authored-by:
Phanwadee Sinthong <phsinthong@gmail.com> Co-authored-by:
Nam Nguyen <namctin@gmail.com> Co-authored-by:
Vijay Ekambaram <vijaykr.e@gmail.com> Co-authored-by:
Ngoc Diep Do <55230119+diepi@users.noreply.github.com> Co-authored-by:
Wesley 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:
NielsRogge <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:
Patrick von Platen <patrick.v.platen@gmail.com> * move loss to forward * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/patchtst/modeling_patchtst.py Co-authored-by:
Patrick 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:
Gift Sinthong <gift.sinthong@ibm.com> Co-authored-by:
Nam Nguyen <namctin@gmail.com> Co-authored-by:
Vijay Ekambaram <vijaykr.e@gmail.com> Co-authored-by:
Ngoc Diep Do <55230119+diepi@users.noreply.github.com> Co-authored-by:
Wesley Gifford <79663411+wgifford@users.noreply.github.com> Co-authored-by:
Wesley M. Gifford <wmgifford@us.ibm.com> Co-authored-by:
nnguyen <nnguyen@us.ibm.com> Co-authored-by:
Ngoc Diep Do <diiepy@gmail.com> Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com>
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NielsRogge authored
* First draft * Fix style * More improvements * Fix tests * Fix tests * Convert checkpoint * Improve DPTImageProcessor * Remove scripts, improve conversion script * Remove print statements * Fix test * Improve docstring * More improvements * Fix style * Fix image processor * Add tests * Address comments * Address comments * Make bias backwards compatible * Address comment * Address comment * Address comment * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Address comments * Add flag * Add tests * Make tests smaller * Use regular BackboneOutput * Fix all tests * Update test * Convert more checkpoints * Convert giant checkpoints, add integration test * Rename size_divisibility to size_divisor --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Lysandre Debut authored
* Fix * Tests * Fix
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Arthur authored
* don't use `use_auth_token`internally * let's use token everywhere * fixup
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- 10 Nov, 2023 2 commits
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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
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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
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- 09 Nov, 2023 5 commits
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Yoach Lacombe authored
* remove failing tests and clean FE files * remove same similar text from tvlt
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Lucain authored
* Fix RequestCounter to make it more future-proof * code quality
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Yih-Dar authored
fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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amyeroberts authored
* Skip failing cache call tests * Fixup
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Arthur authored
[`CodeLlamaTokenizer`] Nit, update __init__ to make sure the AddedTokens are not normalized because they are special (#27359) * make sure tokens are properly initialized for codellama slow * add m ore pretrained models * style * test more tokenizers checkpoints
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- 08 Nov, 2023 4 commits
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Sergii Dymchenko authored
* Update deprecated torch.range * Remove comment
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Yoach Lacombe authored
* change handmade attention mask to _prepare_4d_attention_mask * add flashattention2 support in Bark * add flashattention2 tests on BarkSemanticModel * make style * fix flashattention and tests + make style * fix memory leak and allow Bark to pass flash attention to sub-models * make style * Apply suggestions from code review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * remove unecessary code from tests + justify overriding * Update tests/models/bark/test_modeling_bark.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make style --------- Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Sanchit Gandhi authored
* [MusicGen] Add stereo model * safe serialization * Update src/transformers/models/musicgen/modeling_musicgen.py * split over 2 lines * fix slow tests on cuda
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Yoach Lacombe authored
* add audio_utils usage in the FE of SpeechToText * clean unecessary parameters of AudioSpectrogramTransformer FE * add audio_utils usage in AST * add serialization tests and function to FEs * make style * remove use_torchaudio and move to_dict to FE * test audio_utils usage * make style and fix import (remove torchaudio dependency import) * fix torch dependency for jax and tensor tests * fix typo * clean tests with suggestions * add lines to test if is_speech_availble is False
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- 07 Nov, 2023 1 commit
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Yoach Lacombe authored
* fix bark batching * make style * add tests and make style
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- 06 Nov, 2023 1 commit
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Yih-Dar authored
* fix * fix * fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 03 Nov, 2023 2 commits
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Susnato Dhar authored
* flash attention added for DistilBert * fixes * removed padding_masks * Update modeling_distilbert.py * Update test_modeling_distilbert.py * style fix
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Tom Aarsen authored
* Use Llama RoPE implementation for Falcon + Add copy functionalities * Use standard cache format for Falcon * Simplify apply_rotary_pos_emb, copy from Llama * Remove unnecessary cache conversion test We don't need to convert any caches anymore! * Resolve copy complaint
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- 02 Nov, 2023 3 commits
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Nicolas Patry authored
* Fixing m4t. * Trying to remove comparison ? Odd test failure. * Adding shared. But why on earth does it hang ???? * Putting back the model weights checks the test is silently failing on cuda. * Fix style + unremoved comment.
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Lysandre Debut authored
* Fix Kosmos2 * Fix ProphetNet * Fix MarianMT * Fix M4T * XLM ProphetNet * ProphetNet fix * XLM ProphetNet * Final M4T fixes * Tied weights keys * Revert M4T changes * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Pablo Montalvo authored
* Fix Fuyu image scaling bug It could produce negative padding and hence inference errors for certain image sizes. * initial rework commit * add batching capabilities, refactor image processing * add functional batching for a list of images and texts * make args explicit * Fuyu processing update (#27133) * Add file headers * Add file headers * First pass - preprocess method with standard args * First pass image processor rework * Small tweaks * More args and docstrings * Tidying iterating over batch * Tidying up * Modify to have quick tests (for now) * Fix up * BatchFeature * Passing tests * Add tests for processor * Sense check when patchifying * Add some tests * FuyuBatchFeature * Post-process box coordinates * Update to `size` in processor * Remove unused and duplicate constants * Store unpadded dims after resize * Fix up * Return FuyuBatchFeature * Get unpadded sizes after resize * Update exception * Fix return * Convert input `<box>` coordinates to model format. * Post-process point coords, support multiple boxes/points in a single sequence * Replace constants * Update src/transformers/models/fuyu/image_processing_fuyu.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Preprocess List[List[image]] * Update src/transformers/models/fuyu/image_processing_fuyu.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update to Amy's latest state. * post-processing returns a list of tensors * Fix error when target_sizes is None Co-authored-by:
Pablo Montalvo <pablo.montalvo.leroux@gmail.com> * Update src/transformers/models/fuyu/image_processing_fuyu.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update src/transformers/models/fuyu/image_processing_fuyu.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update src/transformers/models/fuyu/image_processing_fuyu.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update src/transformers/models/fuyu/image_processing_fuyu.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Review comments * Update src/transformers/models/fuyu/image_processing_fuyu.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Fix up * Fix up --------- Co-authored-by:
Ubuntu <ubuntu@ip-172-31-72-126.ec2.internal> Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
Pablo Montalvo <pablo.montalvo.leroux@gmail.com> * Fix conflicts in fuyu_follow_up_image_processing (#27228) fixing conflicts and updating on main * Revert "Fix conflicts in fuyu_follow_up_image_processing" (#27232) Revert "Fix conflicts in fuyu_follow_up_image_processing (#27228)" This reverts commit acce10b6c653dc7041fb9d18cfed55775afd6207. --------- Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
Ubuntu <ubuntu@ip-172-31-72-126.ec2.internal>
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- 01 Nov, 2023 4 commits
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Patrick von Platen authored
* add whisper fa2 * correct * change all * correct * correct * fix more * fix more * fix more * fix more * fix more * fix more * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fix more * fix more * fix more * fix more * fix more --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Lysandre Debut authored
Fix disk offload tests + weight sharing issues
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Andi Powers Holmes authored
* Add type annotations to TFConvNextDropPath * Use tf.debugging.assert_equal for TFConvNextEmbeddings shape check * Add TensorFlow implementation of ConvNeXTV2 * check_docstrings: add TFConvNextV2Model to exclusions TFConvNextV2Model and TFConvNextV2ForImageClassification have docstrings which are equivalent to their PyTorch cousins, but a parsing issue prevents them from passing the test. Adding exclusions for these two classes as discussed in #25558.
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Patrick von Platen authored
* finish * add tests * fix all tests * [Assistant Decoding] Add test * fix more * better * finish * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * finish --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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- 31 Oct, 2023 3 commits
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Lysandre Debut authored
* Safetensors serialization by default * First pass on the tests * Second pass on the tests * Third pass on the tests * Fix TF weight loading from TF-format safetensors * Specific encoder-decoder fixes for weight crossloading * Add VisionEncoderDecoder fixes for TF too * Change filename test for pt-to-tf * One missing fix for TFVisionEncoderDecoder * Fix the other crossload test * Support for flax + updated tests * Apply suggestions from code review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Sanchit's comments * Sanchit's comments 2 * Nico's comments * Fix tests * cleanup * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by:
Matt <rocketknight1@gmail.com> Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Hz, Ji authored
* device agnostic models testing * add decorator `require_torch_fp16` * make style * apply review suggestion * Oops, the fp16 decorator was misused
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Matt authored
* Shorten the conversation tests for speed + fixing position overflows * Put max_new_tokens back to 5 * Remove test skips * Increase max_position_embeddings in blenderbot tests * Add skips for blenderbot_small * Correct TF test skip * make fixup * Reformat skips to use is_pipeline_test_to_skip * Update tests/models/blenderbot_small/test_modeling_blenderbot_small.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/blenderbot_small/test_modeling_flax_blenderbot_small.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/blenderbot_small/test_modeling_tf_blenderbot_small.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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- 30 Oct, 2023 3 commits
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Younes Belkada authored
* stronger GC tests * better tests and skip failing tests * break down into 3 sub-tests * break down into 3 sub-tests * refactor a bit * more refactor * fix * last nit * credits contrib and suggestions * credits contrib and suggestions --------- Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Yih-Dar authored
* Use mozilla-foundation/common_voice_11_0 * Update expected values * Update expected values * For test_word_time_stamp_integration --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* Add KOSMOS-2 model * update * update * update * address review comment - 001 * address review comment - 002 * address review comment - 003 * style * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fix * address review comment - 004 * address review comment - 005 * address review comment - 006 * address review comment - 007 * address review comment - 008 * address review comment - 009 * address review comment - 010 * address review comment - 011 * update readme * fix * fix * fix * [skip ci] fix * revert the change in _decode * fix docstring * fix docstring * Update docs/source/en/model_doc/kosmos-2.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * no more Kosmos2Tokenizer * style * remove "returned when being computed by the model" * Apply suggestions from code review Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * UTM5 Atten * fix attn mask * use present_key_value_states instead of next_decoder_cache * style * conversion scripts * conversion scripts * conversion scripts * Add _reorder_cache * fix doctest and copies * rename 1 * rename 2 * rename 3 * make fixup * fix table * fix docstring * rename 4 * change repo_id * remove tip * update md file * make style * update md file * put docs/source/en/model_doc/kosmos-2.md to slow * update conversion script * Use CLIPImageProcessor in Kosmos2Processor * Remove Kosmos2ImageProcessor * Remove to_dict in Kosmos2Config * Remove files * fix import * Update conversion * normalized=False * Not using hardcoded values like <image> * elt --> element * Apply suggestion * Not using hardcoded values like </image> * No assert * No nested functions * Fix md file * copy * update doc * fix docstring * fix name * Remove _add_remove_spaces_around_tag_tokens * Remove dummy docstring of _preprocess_single_example * Use `BatchEncoding` * temp * temp * temp * Update * Update * Make Kosmos2ProcessorTest a bit pretty * Update gradient checkpointing * Fix gradient checkpointing test * Remove one liner remove_special_fields * Simplify conversion script * fix add_eos_token * update readme * update tests * Change to microsoft/kosmos-2-patch14-224 * style * Fix doc --------- Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 27 Oct, 2023 2 commits
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Patrick von Platen authored
* [FA2 Bart] Add FA2 to all Bart-like * better * Refactor attention mask * remove all customized atteniton logic * format * mass rename * replace _expand_mask * replace _expand_mask * mass rename * add pt files * mass replace & rename * mass replace & rename * mass replace & rename * mass replace & rename * Update src/transformers/models/idefics/modeling_idefics.py * fix more * clean more * fix more * make style * fix again * finish * finish * finish * finish * finish * finish * finish * finish * finish * finish * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * small fix mistral * finish * finish * finish * finish --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Isaac Chung authored
* add early stopping logits processor * black formmated * indent * follow method signature * actual logic * check for None * address comments on docstrings and method signature * add unit test under `LogitsProcessorTest` wip * unit test passing * black formatted * condition per sample * add to BarkModelIntegrationTests * wip BarkSemanticModelTest * rename and add to kwargs handling * not add to BarkSemanticModelTest * correct logic and assert last outputs tokens different in test * doc-builder style * read from kwargs as well * assert len of with less than that of without * ruff * add back seed and test case * add original impl default suggestion * doc-builder * rename and use softmax * switch back to LogitsProcessor and update docs wording * camelCase and spelling and saving compute * assert strictly less than * assert less than * expand test_generate_semantic_early_stop instead
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- 25 Oct, 2023 1 commit
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Arthur authored
* skip plbart test * nits * update
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- 24 Oct, 2023 2 commits
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JB (Don) authored
* Add a default decoder_attention_mask for EncoderDecoderModel during training Since we are already creating the default decoder_input_ids from the labels, we should also create a default decoder_attention_mask to go with it. * Fix test constant that relied on manual_seed() The test was changed to use a decoder_attention_mask that ignores padding instead (which is the default one created by BERT when attention_mask is None). * Create the decoder_attention_mask using decoder_input_ids instead of labels * Fix formatting in test
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Alex McKinney authored
* adds agnostic decorators and availability fns * renaming decorators and fixing imports * updating some representative example tests bloom, opt, and reformer for now * wip device agnostic functions * lru cache to device checking functions * adds `TRANSFORMERS_TEST_DEVICE_SPEC` if present, imports the target file and updates device to function mappings * comments `TRANSFORMERS_TEST_DEVICE_SPEC` code * extra checks on device name * `make style; make quality` * updates default functions for agnostic calls * applies suggestions from review * adds `is_torch_available` guard * Add spec file to docs, rename function dispatch names to backend_* * add backend import to docs example for spec file * change instances of to * Move register backend to before device check as per @statelesshz changes * make style * make opt test require fp16 to run --------- Co-authored-by:
arsalanu <arsalanu@graphcore.ai> Co-authored-by:
arsalanu <hzji210@gmail.com>
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- 23 Oct, 2023 1 commit
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Patrick von Platen authored
* [Attn Mask Converter] refactor attn mask * up * Apply suggestions from code review Co-authored-by:
fxmarty <9808326+fxmarty@users.noreply.github.com> * improve * rename * better cache * renaming * improve more * improve * fix bug * finalize * make style & make fix-copies * correct more * start moving attention_mask * fix llama * improve falcon * up * improve more * improve more * Update src/transformers/models/owlv2/modeling_owlv2.py * make style * make style * rename to converter * Apply suggestions from code review --------- Co-authored-by:
fxmarty <9808326+fxmarty@users.noreply.github.com>
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