- 22 Sep, 2022 3 commits
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Younes Belkada authored
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NielsRogge authored
* Add DeformableDetrFeatureExtractor * Fix post_process * Fix name * Add tests for feature extractor * Fix doc tests * Fix name * Address comments * Apply same fix to DETR and YOLOS as well Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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DepuMeng authored
* added conditional_detr files * checked copies * checked copies * fixed style and copies * fixed style and copies * fixed hub * fixed style * Update README.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/_toctree.yml Co-authored-by:
Depu Meng <depumeng@Depus-MacBook-Pro.local>
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- 21 Sep, 2022 3 commits
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Sylvain Gugger authored
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Alara Dirik authored
* add post-processing method for semantic segmentation * add test for post-processing
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Alara Dirik authored
* add post_process_semantic_segmentation method to SegformerFeatureExtractor * add test for semantic segmentation post-processing
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- 20 Sep, 2022 3 commits
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Yih-Dar authored
* Skip if torch < 1.11 * fix quality * fix import * fix typo * fix condition * fix condition * fix condition * fix quality * fix condition Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Alara Dirik authored
* return post-processed segmentations as list, add test * use torch to resize logits * fix assertion error if no target_size is specified
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Ankur Goyal authored
Co-authored-by:Ankur Goyal <ankur@impira.com>
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- 16 Sep, 2022 4 commits
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Sylvain Gugger authored
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Sylvain Gugger authored
* Fix tokenizer load from one file * Add a test * Style Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
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Joao Gante authored
* resized models that we can actually load * separate embeddings check * add test for embeddings out of bounds * add fake slows
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Michael Benayoun authored
* Support for ConvNext * Support for Wav2Vec2 * Support for Resnet * Fix small issue in test_modeling_convnext
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- 15 Sep, 2022 8 commits
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Shijie Wu authored
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Yih-Dar authored
* Enable torchdynamo tests * make style Co-authored-by: -
Sylvain Gugger authored
* Fix CI for custom tokenizers * Add nightly tests * Run CI, run! * Fix paths * Typos * Fix test
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Nicolas Patry authored
* Fixing OPT fast tokenizer option. * Remove dependency on `pt`. * Move it to GPT2 tokenization tests. * Added a few tests.
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Ekagra Ranjan authored
* init PR * optimize top p and add edge case * styling * style * revert tf and flax test * add edge case test for FLAX and TF * update doc with smallest set sampling for top p * make style
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Matt authored
* Override save() to use the serving signature as the default * Replace int32 with int64 in all our serving signatures * Remember one very important line so as not to break every test at once * Dtype fix for TFLED * dtype fix for shift_tokens_right in general * Dtype fixes in mBART and RAG * Fix dtypes for test_unpack_inputs * More dtype fixes * Yet more mBART + RAG dtype fixes * Yet more mBART + RAG dtype fixes * Add a check that the model actually has a serving method
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Yih-Dar authored
* Fix test_save_load for TFViTMAEModelTest Co-authored-by: -
amyeroberts authored
* Updated test values The image segmentation pipeline tests - tests/pipelines/test_pipelines_image_segmentation.py - were failing after the merging of #1849 (49e44b21). This was due to the difference in rescaling. Previously the images were rescaled by `image = image / 255`. In the new commit, a `rescale` method was added, and images rescaled using `image = image * scale`. This was known to cause small differences in the processed images (see [PR comment](https://github.com/huggingface/transformers/pull/18499#discussion_r940347575)). Testing locally, changing the `rescale` method to divide by a scale factor (255) resulted in the tests passing. It was therefore decided the test values could be updated, as there was no logic difference between the commits. * Use double quotes, like previous example * Fix up
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- 14 Sep, 2022 9 commits
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SaulLu authored
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Sylvain Gugger authored
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Shinya Otani authored
* add gpt-neox-japanese model and tokenizer as new model * Correction to PR's comment for GPT NeoX Japanese - Fix to be able to use gpu - Add comment # Copied... at the top of RotaryEmbedding - Implement nn.Linear instead of original linear class - Add generation test under @slow * fix bias treatment for gpt-neox-japanese * Modidy gpt-neox-japanese following PR - add doc for bias_dropout_add - style change following a PR comment * add document for gpt-neox-japanese * remove unused import from gpt-neox-japanese * fix README for gpt-neox-japanese
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Yih-Dar authored
* Fix DocumentQuestionAnsweringPipelineTests Co-authored-by: -
Sylvain Gugger authored
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Sylvain Gugger authored
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Yih-Dar authored
* Skip test_torchscript_output_attentions for PegasusXModelTest * fix test_inference_no_head * fix test_inference_head * fix test_seq_to_seq_generation Co-authored-by: -
Sylvain Gugger authored
* Make AutoProcessor a magic loading class for all modalities * Quality
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NielsRogge authored
* First draft * More improvements * Improve model, add custom CUDA code * Import torch before * Add script that imports custom layer * Add everything in new ops directory * Import custom layer in modeling file * Fix ARCHIVE_MAP typo * Creating the custom kernel on the fly. * Import custom layer in modeling file * More improvements * Fix CUDA loading * More improvements * Improve conversion script * Improve conversion script * Make it work until encoder_outputs * Make forward pass work * More improvements * Make logits match original implementation * Make implementation also support single_scale model * Add support for single_scale and dilation checkpoint * Add support for with_box_refine model * Support also two stage model * Improve tests * Fix more tests * Make more tests pass * Upload all models to the hub * Clean up some code * Improve decoder outputs * Rename intermediate hidden states and reference points * Improve model outputs * Move tests to dedicated folder * Improve model outputs * Fix retain_grad test * Improve docs * Clean up and make test_initialization pass * Improve variable names * Add copied from statements * Improve docs * Fix style * Improve docs * Improve docs, move tests to model folder * Fix rebase * Remove DetrForSegmentation from auto mapping * Apply suggestions from code review * Improve variable names and docstrings * Apply some more suggestions from code review * Apply suggestion from code review * better docs and variables names * hint to num_queries and two_stage confusion * remove asserts and code refactor * add exception if two_stage is True and with_box_refine is False * use f-strings * Improve docs and variable names * Fix code quality * Fix rebase * Add require_torch_gpu decorator * Add pip install ninja to CI jobs * Apply suggestion of @sgugger * Remove DeformableDetrForObjectDetection from auto mapping * Remove DeformableDetrModel from auto mapping * Add model to toctree * Add model back to mappings, skip model in pipeline tests * Apply @sgugger's suggestion * Fix imports in the init * Fix copies * Add CPU implementation * Comment out GPU function * Undo previous change * Apply more suggestions * Remove require_torch_gpu annotator * Fix quality * Add logger.info * Fix logger * Fix variable names * Fix initializaztion * Add missing initialization * Update checkpoint name * Add model to doc tests * Add CPU/GPU equivalence test * Add Deformable DETR to pipeline tests * Skip model for object detection pipeline Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by:
Nouamane Tazi <nouamane98@gmail.com> Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com>
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- 13 Sep, 2022 1 commit
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Yih-Dar authored
Co-authored-by:
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- 12 Sep, 2022 3 commits
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Joao Gante authored
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Matt authored
* Use int64 throughout TFLongFormer * make style * Do some more fixed casting in TFLongFormer * Fix some wonky "is None" conditionals * Cast all the dtypes, salt the earth * Fix copies to TFLED as well and do some casting there * dtype fix in TFLongformer test * Make fixup * Expand tolerances on the LED tests too (I think this is a TF32 thing) * Expand test tolerances for LED a tiny bit (probably a Tensorfloat thing again)
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Yih-Dar authored
Co-authored-by:
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- 10 Sep, 2022 1 commit
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Joao Gante authored
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- 09 Sep, 2022 3 commits
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Matt authored
* Fix train_step and test_step, correctly enable CLIP fit test * Stop using get_args on older Python versions * Don't use get_origin either * UnionType is actually even newer, don't use that either * Apply the same fix to test_loss_computation * Just realized I was accidentally skipping a bunch of tests! * Fix test_loss_computation for models without separable labels * Fix scalar losses in test_step and train_step * Stop committing your breakpoints * Fix Swin loss shape * Fix Tapas loss shape * Shape fixes for TAPAS, DeIT, HuBERT and ViTMAE * Add loss computation to TFMobileBertForPreTraining * make fixup and move copied from statement * make fixup and move copied from statement * Correct copied from * Add labels and next_sentence_label inputs to TFMobileBERT * Make sure total_loss is always defined * Update tests/test_modeling_tf_common.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Fix copied from * Ensure CTC models get labels in tests * Ensure CTC models get labels in tests * Fix tests for vit_mae * Fix tests for vit_mae * Fix tests for vit_mae * Reduce batch size for wav2vec2 testing because it was causing OOM * Skip some TAPAS tests that are failing * Skip a failing HuBERT test * make style * Fix mobilebertforpretraining test * Skip Wav2Vec2 tests that use huge amounts of mem * Skip keras_fit for Wav2Vec2 as well Co-authored-by:
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Sanchit Gandhi authored
* [JAX] Replace all jax.tree_* calls with jax.tree_util.tree_* * fix double tree_util
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HuYong authored
* add_ernie * remove Tokenizer in ernie * polish code * format code style * polish code * fix style * update doc * make fix-copies * change model name * change model name * fix dependency * add more copied from * rename ErnieLMHeadModel to ErnieForCausalLM do not expose ErnieLayer update doc * fix * make style * polish code * polish code * fix * fix * fix * fix * fix * final fix Co-authored-by:
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- 08 Sep, 2022 1 commit
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NielsRogge authored
* First draft * Improve conversion script * Make vision encoder work * More improvements * Improve conversion script * Fix quality * Add MultiframeIntegrationTransformer * More improvements * Make MiT output work * Fix quality * Add prompts generator * Add tests * Fix some tests * Fix some more tests * Fix more tests * Improve conversion script * Fix model outputs * Fix more tests * Add XClipProcessor * Use processor in conversion script * Fix integration test * Update README, fix docs * Fix all tests * Add MIT output to XClipOutput * Create better variable names * Rename XClip to XCLIP * Extend conversion script * Add support for large models * Add support for 16 frame models * Add another model' * Fix module issue * Apply suggestions from code review * Add figure to docs * Fix CLIPProcessor issue * Apply suggestions from code review * Delete file * Convert more checkpoints * Convert last checkpoint * Update nielsr to microsoft
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- 07 Sep, 2022 1 commit
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Ankur Goyal authored
* [WIP] Skeleton of VisualQuestionAnweringPipeline extended to support LayoutLM-like models * Fixup * Use the full encoding * Basic refactoring to DocumentQuestionAnsweringPipeline * Cleanup * Improve args, docs, and implement preprocessing * Integrate OCR * Refactor question_answering pipeline * Use refactored QA code in the document qa pipeline * Fix tests * Some small cleanups * Use a string type annotation for Image.Image * Update encoding with image features * Wire through the basic docs * Handle invalid response * Handle empty word_boxes properly * Docstring fix * Integrate Donut model * Fixup * Incorporate comments * Address comments * Initial incorporation of tests * Address Comments * Change assert to ValueError * Comments * Wrap `score` in float to make it JSON serializable * Incorporate AutoModeLForDocumentQuestionAnswering changes * Fixup * Rename postprocess function * Fix auto import * Applying comments * Improve docs * Remove extra assets and add copyright * Address comments Co-authored-by:
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