Sync/v4.21.2 #404
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Sync/v4.21.2 #404
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* add: check labels for detr object detection doctests * add: check shapes * add: add detr to documentation_tests.py * fix: make fixup output * fix: add a comment
* Update modeling_yoso.py * make fixup * Update modeling_yoso.py That should be it copied from previous PR
* Feat: add missing type hints for QDQBertModel * fix: ran black and isort * feat: Add missing output type for QDQBertModel * feat: Add type hints for QDQBertLMHeadModel and models starting with QDQBertFor * fix: add missing return type for QDQBertModel * fix: remove wrong return type for QDQBertEmbeddings * fix: readded config argument to load_tf_weights_in_qdqbert * fix: add BertConfig type to BertEmbeddings config due t checko error in ci * fix: removed config type hints to avoid copy checks
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* add skeleton files * fix cpu inference link * add hint to make clear that single gpu section contains general info * add new files to ToC * update toctree to have subsection for performance * add "coming soon" to the still empty sections * fix missing title * fix typo * add reference to empty documents * Apply suggestions from code review Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
* few fixes: - hardcode tokenizer padding side - remove unused args * few fixes: - added new attribute on TokenizerTesterMixin - added new slow test - remove unused arg on tokenizer class * make style * Update src/transformers/models/bloom/tokenization_bloom_fast.py Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com> * make quality * apply changes - remove new attribute - redefine test on the class * add comments Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>
* Fix tests that broke when models used batchnorm * Initializing the model twice does not actually... ...give you the same weights each time. I am good at machine learning. * Fix speed regression
As shown in the colab notebook I added the missing type hints for " CvtForImageClassification CvtModel "
* Adjust test arguments and use a new example test
* wip * rebase * all tests pass * rebase * ready for PR * address comments * fix styles * add require_torch to pipeline test * remove remote image to improve CI consistency * address comments; fix tf/flax tests * address comments; fix tf/flax tests * fix tests; add alias * repo consistency tests * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * address comments * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * merge * wip * wip * wip * most basic tests passes * all tests pass now * relative embedding * wip * running make fixup * remove bert changes * fix doc * fix doc * fix issues * fix doc * address comments * fix CI * remove redundant copied from * address comments * fix broken test Co-authored-by: Sijun He <sijunhe@Sijuns-MacBook-Pro.local> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
…chs in no_trainer scripts (#17856)
…573) * Auto-build on setup modification * Modify push-caller * Make adjustments based on code review
* Improve vision models * Add a lot of improvements * Remove to_2tuple from swin tests * Fix TF Swin * Fix more tests * Fix copies * Improve more models * Fix ViTMAE test * Add channel check for TF models * Add proper channel check for TF models * Apply suggestion from code review * Apply suggestions from code review * Add channel check for Flax models, apply suggestion * Fix bug * Add tests for greyscale images * Add test for interpolation of pos encodigns Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* Copied all the changes from the last PR * added in documentation_tests.txt * Update docs/source/en/model_doc/encoder-decoder.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/encoder-decoder.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/encoder-decoder.mdx Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update docs/source/en/model_doc/encoder-decoder.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/encoder-decoder.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/encoder-decoder.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/encoder-decoder.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: vishwaspai <vishwas.pai@emplay.net> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* fix(ConstrainedBeamSearchScorer.step_sentence_constraint): avoid hypothesis duplication between topk and advance * fix(GenerationMixin.constrained_beam_search): appropriately assign beam scores instead of token scores
* fix Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Add CodeGen model * Add missing key and switch order of super() * Fix torch.ones init with uint8 instead of bool * Address comments: copy statements and doc * update tests * remove old model parallel * fix batch gen tests * fix batch gen test * update test_gpt2_sample_max_time * fix codgen test and revert gpt2 test change * Fix incorrect tie_word_embedding value, typo, URL * Fix model order in README and styling * Reorder model list alphabetically * Set tie_word_embedding to False by default * Apply suggestions from code review * Better attn mask name & remove attn masked_bias * add tokenizer for codegen * quality * doc tokenizer * fix-copies * add CodeGenTokenizer in converter * make truncation optional * add test for truncation * add copyright * fix-copies * fix fast tokenizer decode * Update src/transformers/models/codegen/tokenization_codegen.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * increase vocab_size in tests Co-authored-by: patil-suraj <surajp815@gmail.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* feat: Add type hints for GPTNeoxForCausalLM and GPTNeoXModel * fix: removed imported Dict type * fix: Removed unused List import
* Use higher value for hidden_size in Flax BigBird test * remove 5e-5 Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Properly get tests deps in test_fetcher * Remove print
* Improve doc test * Improve code example of segmentation model * Apply suggestion * Update src/transformers/models/detr/modeling_detr.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Improve docs * Improve docs of speech one as well * Apply suggestions from code review Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* Remove all uses of six * fix quality
Add function to the submodule init
…trained` (#18428) Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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