- 09 Mar, 2022 2 commits
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Patrick von Platen authored
* test * up * up * Empty test commit * up * update tests * up * fix some vision models * correct * correct docs * Trigger notification * finalize * check * correct quicktour * Apply suggestions from code review * improve doctests * Trigger Build * next try * next try * and again * Output current clone information * Output current clone information * Correct path * add tf round again * revert to daily job Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
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Nicolas Patry authored
* Adding ForInstanceSegmentation to pipelines. * Last fix `category_id` renamed to `label_id`. * Can't be none no more. * No `is_thing_map` anymore.
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- 08 Mar, 2022 4 commits
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David Hall authored
* Seed get_train_sampler's generator with arg seed to improve reproducibility and make the world_size<=1 code path more similar to the others * move test file into trainer test explicitly * dumb typo * make style lint happy * per discussion, switch to data_seed * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
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Joao Gante authored
* Remove packed past from generation_tf_utils * update models with the new past format * update template accordingly
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Patrick von Platen authored
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Nicolas Patry authored
* Returning outputs only when asked for for MaskFormer. * Adding `output_auxiliary_logits` to the config.
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- 07 Mar, 2022 6 commits
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Sylvain Gugger authored
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Francesco Saverio Zuppichini authored
Make is_thing_map in Feature Extractor post_process_panoptic_segmentation defaults to all instances (#15954) * is_thing_map defaults to all instances * better naming * control flow * resolving conversations
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Sanchit Gandhi authored
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Konstantin Dobler authored
* Support modern list type hint in HfArgumentParser * Fix formatting with black
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Suraj Patil authored
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Chan Woo Kim authored
[Bug Fix] Beam search example in docs fails & a fix (integrating `max_length` in `BeamScorer.finalize()`) (#15555) * added the test and fix * had left out a comment
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- 04 Mar, 2022 6 commits
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NielsRogge authored
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Chan Woo Kim authored
* added classes to get started with constrained beam search * in progress, think i can directly force tokens now but not yet with the round robin * think now i have total control, now need to code the bank selection * technically works as desired, need to optimize and fix design choices leading to undersirable outputs * complete PR #1 without disjunctive decoding * removed incorrect tests * Delete k.txt * Delete test.py * Delete test.sh * revert changes to test scripts * genutils * full implementation with testing, no disjunctive yet * shifted docs * passing all tests realistically ran locally * removing accidentally included print statements * fixed source of error in initial PR test * fixing the get_device() vs device trap * fixed documentation docstrings about constrained_beam_search * fixed tests having failing for Speech2TextModel's floating point inputs * fix cuda long tensor * added examples and testing for them and founx & fixed a bug in beam_search and constrained_beam_search * deleted accidentally added test halting code with assert False * code reformat * Update tests/test_generation_utils.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update tests/test_generation_utils.py Co-authored-by:
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Yih-Dar authored
* Do not change the output from tuple to list - to match PT's version * Fix the same issues for 5 other models and the template Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Javier de la Rosa authored
* Adding Flax XLM-RoBERTa * Add Flax to __init__ * Adding doc and dummy objects * Add tests * Add Flax XLM-R models autodoc * Fix tests * Add Flask XLM-RoBERTa to TEST_FILES_WITH_NO_COMMON_TESTS * Update src/transformers/models/xlm_roberta/modeling_flax_xlm_roberta.py Co-authored-by:
Suraj Patil <surajp815@gmail.com> * Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py Co-authored-by:
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Nicolas Patry authored
Small adjustments. Adding in type hint. Last fix ? Only include the default dict thing, not the pipelines.
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ParkSangJun authored
* Fix to support fast tokenizer with `CLIPProcessor` * Update CLIPProcessor test for fast tokenizer * Fix Docstring Style * Rename into meaningful Variable name in test code
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- 03 Mar, 2022 7 commits
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NielsRogge authored
* Add vision models to doc tests * Apply suggestions from code review * Add more models Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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Francesco Saverio Zuppichini authored
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Nicolas Patry authored
* Enabling MaskFormer in ppipelines No AutoModel though :( * Ooops local file.
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Sylvain Gugger authored
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Patrick von Platen authored
* finish speech doc tests * finish * boom * Update src/transformers/models/speech_to_text/modeling_speech_to_text.py Co-authored-by:
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Sanchit Gandhi authored
* Freeze FlaxWav2Vec2 Feature Encoder * add to all module apply * add backprop test
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Li-Huai (Allan) Lin authored
* Draft * Add test * Update src/transformers/models/realm/modeling_realm.py * Apply suggestion * Add block_mask * Update * Update * Add block_embedding_to * Remove no_grad * Use AutoTokenizer * Remove model.to overridding
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- 02 Mar, 2022 7 commits
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NielsRogge authored
* Fix reshape * Apply suggestion from code review Co-authored-by: -
Joao Gante authored
* Add TF logits wrappers * Add sample method * add tests for TF logit wrappers * TF generate sample tests now run on CPU Co-authored-by:Matt <Rocketknight1@users.noreply.github.com>
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NielsRogge authored
* Add deprecation warning * Remove from docs and hide in kwargs * Improve implementation Co-authored-by: -
Francesco Saverio Zuppichini authored
* maskformer * conflicts * conflicts * minor fixes * feature extractor test fix refactor MaskFormerLoss following conversation MaskFormer related types should not trigger a module time import error missed one removed all the types that are not used update config mapping minor updates in the doc resolved conversation that doesn't need a discussion minor changes resolved conversations fixed DetrDecoder * minor changes minor changes fixed mdx file test feature_extractor return types functional losses -> classes removed the return type test for the feature extractor minor changes + style + quality * conflicts? * rebase master * readme * added missing files * deleded poolformers test that where in the wrong palce * CI * minor changes * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * resolved conversations * minor changes * conversations [Unispeech] Fix slow tests (#15818) * remove soundfile old way of loading audio * Adapt slow test [Barthez Tokenizer] Fix saving (#15815) [TFXLNet] Correct tf xlnet generate (#15822) * [TFXLNet] Correct tf xlnet * adapt test comment Fix the push run (#15807) Fix semantic segmentation pipeline test (#15826) Fix dummy_inputs() to dummy_inputs in symbolic_trace doc (#15776) Add model specific output classes to PoolFormer model docs (#15746) * Added model specific output classes to poolformer docs * Fixed Segformer typo in Poolformer docs Adding the option to return_timestamps on pure CTC ASR models. (#15792) * Adding the option to return_timestamps on pure CTC ASR models. * Remove `math.prod` which was introduced in Python 3.8 * int are not floats. * Reworking the PR to support "char" vs "word" output. * Fixup! * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by:
ariG23498 <aritra.born2fly@gmail.com> Co-authored-by:
Joao Gante <joao@huggingface.co> Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com> * minor changes * doc fix in feature extractor * doc * typose * removed detr logic from config * removed detr logic from config * removed num_labels * small fix in the config * auxilary -> auxiliary * make style * some test is failing * fix a weird char in config prevending doc-builder * retry to fix the doc-builder issue * make style * new try to fix the doc builder * CI * change weights to facebook Co-authored-by:
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Rahul Huilgol authored
* Create optimizer after model creation for SMP * update dp_rank to rdp_rank for opt_state_dict * update world_size and process_index for smp * Address comments * Lint fix Co-authored-by:Cavdar <dcavdar@a07817b12d7e.ant.amazon.com>
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Nicolas Patry authored
* Adding timestamps for CTC with LM in ASR pipeline. * iRemove print. * Nit change.
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Michael Benayoun authored
* Add M2M100 support for ONNX export * Delete useless imports * Add M2M100 to tests * Fix protobuf issue
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- 01 Mar, 2022 4 commits
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NielsRogge authored
* Add problem_type to missing models * Fix deit test Co-authored-by: -
Patrick von Platen authored
* [Wav2Vec2 With LM] add timestamps * correct * correct * Apply suggestions from code review * correct * Update src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py * make style * Update src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> * make style * Apply suggestions from code review Co-authored-by:
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Patrick von Platen authored
* [Benchmark tools] Deprecate all * up
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Eduardo Gonzalez Ponferrada authored
* Add data2vec model cloned from roberta * Add checkpoint conversion script * Fix copies * Update docs * Add checkpoint conversion script * Remove fairseq data2vec_text script and fix format * Add comment on where to get data2vec_text.py * Remove mock implementation cheat.py and fix style * Fix copies * Remove TF and Flax classes from init * Add back copy from fairseq data2vec_text.py and fix style * Update model name in docs/source/index.mdx to be CamelCase * Revert model name in table to lower-case to get check_table test to pass * Update src/transformers/models/data2vec/__init__.py Co-authored-by:
Eduardo Gonzalez Ponferrada <eduardo@ferrumhealth.com> Co-authored-by:
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- 28 Feb, 2022 3 commits
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Nicolas Patry authored
* Fixing the timestamps with chunking. * The changes modified (and fixed) the striding tests. * Adding a tokenizer test. * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by:
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lewtun authored
* Fix (deprecated) ONNX exporter to account for new tf2onnx API
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Sanchit Gandhi authored
* rebase * Delete shift tokens func * downsample decoder input seq len for init * correct attention mask * add tests * pt flax cross test * make fixup * init file for import * change pt-flax cross test threshold * pt-flax test logits only * move tests * make repo-consistency * consistent indentation Co-authored-by:
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- 25 Feb, 2022 1 commit
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Sayak Paul authored
* feat: initial implementation of convnext in tensorflow. * fix: sample code for the classification model. * chore: added checked for from the classification model. * chore: set bias initializer in the classification head. * chore: updated license terms. * chore: removed ununsed imports * feat: enabled argument during using drop_path. * chore: replaced tf.identity with layers.Activation(linear). * chore: edited default checkpoint. * fix: minor bugs in the initializations. * partial-fix: tf model errors for loading pretrained pt weights. * partial-fix: call method updated * partial-fix: cross loading of weights (4x3 variables to be matched) * chore: removed unneeded comment. * removed playground.py * rebasing * rebasing and removing playground.py. * fix: renaming TFConvNextStage conv and layer norm layers * chore: added initializers and other minor additions. * chore: added initializers and other minor additions. * add: tests for convnext. * fix: integration tester class. * fix: issues mentioned in pr feedback (round 1). * fix: how output_hidden_states arg is propoagated inside the network. * feat: handling of arg for pure cnn models. * chore: added a note on equal contribution in model docs. * rebasing * rebasing and removing playground.py. * feat: encapsulation for the convnext trunk. * Fix variable naming; Test-related corrections; Run make fixup * chore: added Joao as a contributor to convnext. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: corrected copyright year and added comment on NHWC. * chore: fixed the black version and ran formatting. * chore: ran make style. * chore: removed from_pt argument from test, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * fix: tests in the convnext subclass, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: moved convnext test to the correct location * fix: locations for the test file of convnext. * fix: convnext tests. * chore: applied sgugger's suggestion for dealing w/ output_attentions. * chore: added comments. * chore: applied updated quality enviornment style. * chore: applied formatting with quality enviornment. * chore: revert to the previous tests/test_modeling_common.py. * chore: revert to the original test_modeling_common.py * chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py * fix: tests for convnext. * chore: removed output_attentions argument from convnext config. * chore: revert to the earlier tf utils. * fix: output shapes of the hidden states * chore: removed unnecessary comment * chore: reverting to the right test_modeling_tf_common.py. * Styling nits Co-authored-by:
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