- 26 Sep, 2022 3 commits
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Sylvain Gugger authored
* Fix cached_file in offline mode for cached non-existing files * Add tests * Test with offline mode
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Sylvain Gugger authored
* Use repo_type instead of deprecated datasets repo IDs * Add missing one in doc
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 23 Sep, 2022 1 commit
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Alara Dirik authored
* add post-processing method for semantic segmentation Co-authored-by:Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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- 22 Sep, 2022 5 commits
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Sayak Paul authored
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Sayak Paul authored
* feat: modeling and conversion scripts for msn. * chore: change license year. * chore: remove unneeded modules. * feat: direct loading of state_dict from remote url. * fix: import paths. * add: rest of the files. * add and fix rest of the files. Co-authored-by:
Niels <niels.rogge1@gmail.com> * chore: formatting. * code quality fix. * chore: remove pooler. * feat: add classification top. * fix: configuration object. * add: initial test cases (one failing). * fix: basemodeloutput. * add: caution on using the classification head. * add: rest of the model related files. * add: vit msn readme. * fix: copied from statement. * fix: dummy objects. * add: ViTMSNPreTrainedModel to inits. * fix: repo consistency. * minor change in the model doc. * fix: tests. * Empty-Commit * Update src/transformers/models/vit_msn/configuration_vit_msn.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * chore: put model in no_grad() and formatting. Co-authored-by:
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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: -
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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