- 26 Jun, 2024 1 commit
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amyeroberts authored
* Skip tests properly * [test_all] * Add 'reason' as kwarg for skipTest * [test_all] Fix up * [test_all]
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- 24 Jun, 2024 1 commit
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Pavel Iakubovskii authored
* Correct @is_flaky decorator
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- 07 Jun, 2024 1 commit
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amyeroberts authored
* Rename to test_model_common_attributes The method name is misleading - it is testing being able to get and set embeddings, not common attributes to all models * Explicitly skip
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- 24 May, 2024 1 commit
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Fanli Lin authored
* enable on xpu * fix style * add comment and mps
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- 23 May, 2024 1 commit
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Poedator authored
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- 22 May, 2024 1 commit
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Marc Sun authored
* Fix tests * fix udop failing test * remove skip * style
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- 20 May, 2024 1 commit
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Benjamin Warner authored
* add torch.compile dynamic support * Add SDPA dynamic shapes compile test & improve SDPA comment * comment consistency
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- 16 May, 2024 3 commits
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Yih-Dar authored
* fix * [run-slow] gemma * add test * add `test_compile_static_cache` * fix * style * remove subprocess * use attribute * fix * style * update * [run-slow] dbrx,gemma,jetmoe,phi3,recurrent_gemma --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Joao Gante authored
* jamba cache * new flag * generate exception
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hyenal authored
remove blank line (+1 squashed commit) Squashed commits: [24ccd2061] [run-slow]vit_msn,vision_encoder_decoder (+24 squashed commits) Squashed commits: [08bd27e7a] [run-slow]vit_msn,vision_encoder_decoder [ec96a8db3] [run-slow]vit_msn [ead817eca] fix vit msn multi gpu [d12cdc8fd] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos [3fdbfa88f] doc [a3ff33e4a] finish implementation [e20b7b7fb] Update test_modeling_common.py [e290c5810] Update test_modeling_flax_common.py [d3af86f46] comment [ff7dd32d8] more comments [59b137889] suggestion [7e2ba6d67] attn_implementation as attribute of the class [fe66ab71f] minor [38642b568] Apply suggestions from code review Accept comments Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> [22cde7d52] Update tests/test_modeling_common.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> [48e137cc6] Update tests/test_modeling_common.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> [99f4c679f] Update tests/test_modeling_common.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> [96cf20a6d] Update src/transformers/models/vit_msn/modeling_vit_msn.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> [c59377d23] Update src/transformers/models/vit_mae/modeling_vit_mae.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> [b70a47259] Update tests/models/vision_text_dual_encoder/test_modeling_vision_text_dual_encoder.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> [00c84d216] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos [61f00ebb0] all tests are passing locally [e9e0b82b7] vision encoder/decoder [4d5076b56] test-vision (+20 squashed commits) Squashed commits: [d1add8db9] yolo [9fde65716] fix flax [986566c28] minor [ca2f21d1f] vit [3333efd7a] easy models change [ebfc21402] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos [b8b8603ed] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos [48ecc7e26] all tests are passing locally [bff7fc366] minor [62f88306f] fix yolo and text_encoder tests [121507555] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae [1064cae0a] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos [b7f52ff3a] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae [cffaa10dd] fix-copies [ef6c511c4] test vit hybrid [7d4ba8644] vit hybrid [66f919033] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae [1fcc0a031] fixes [cfde6eb21] fixup [e77df1ed3] all except yolo end encoder decoder (+17 squashed commits) Squashed commits: [602913e22] vit + vit_mae are working [547f6c4cc] RUN_SLOW=1 pytest tests/models/audio_spectrogram_transformer/ tests/models/deit/ tests/models/videomae/ passes [61a97dfa9] it s the complete opposite... [aefab37d4] fix more tests [71802a1b9] fix all torch tests [40b12eb58] encoder - decoder tests [941552b69] slow decorator where appropriate [14d055d80] has_attentions to yolo and msn [3381fa19f] add correct name [e261316a7] repo consistency [31c6d0c08] fixup [9d214276c] minor fix [11ed2e1b7] chore [eca6644c4] add sdpa to vit-based models [cffbf390b] make fix-copies result [6468319b0] fix style [d324cd02a] add sdpa for vit Co-authored-by:
Liubov Yaronskaya <luba.yaronskaya@gmail.com>
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- 15 May, 2024 2 commits
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Edoardo Cetin authored
* Fix llama model forward function with attention=True, same-length encoded sequence. * Fix style * propagate fix to modeling_cohere, gemma, dbrx, and olmo (which copy the same sdpa masking logic from llama) * Fix style * ignore unnecessary sdpa mask converter when output_attentions=True * add tests checking sdpa and eager outputs match when output_attentions=True * Split if statements in two lines Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Fix formatting * Add fix to new jetmoe model * Add missing output_attentions argument to jetmoe mask creation --------- Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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Raushan Turganbay authored
* add model draft * update docstring * add tests * support image and video as input * update for better handling of mixed input and clean-up a bit * bug when mixed inputs & add tests * Update README.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Merge remote-tracking branch 'upstream/main' into video_llava * link to abstract of paper in README * fix test * fix-copies * make tests happy * skip docstest for now * do not run doctest for now * Update src/transformers/models/video_llava/processing_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/video_llava/test_modeling_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * address review comments * failing tests * Fix vocab_size in common tests for VLMs * codestyle * Update src/transformers/models/video_llava/configuration_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/configuration_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/modeling_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/modeling_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/video_llava.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/video_llava.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/image_processing_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/video_llava.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/processing_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/video_llava/test_modeling_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/video_llava/test_modeling_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/video_llava/test_modeling_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * PR suggestions * fix-copies * Update src/transformers/models/video_llava/configuration_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/video_llava/configuration_video_llava.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add full example in docs * clean-up with new model-id * [run-slow] video_llava * update docstring * [run-slow] video_llava * remove all achive maps * fix some tests * test was supposed to be skipped for llava :) --------- Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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- 14 May, 2024 1 commit
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Pablo Montalvo authored
* add new model like * add state dict slicing + new model config * update palma config and weights, passes vision activations * fix * update * reorder loading/unpacking * clean up * add debug statements * change device * fix * debugging * fix noncausal mask * fixup sdpa + causal mask * fix activation function * remove debug before changing modeling file * add variants * debug attention mask in generate * revert to non-debug sdpa * revert gemma modifications * add custom language modeling * use Processor * add language modeling file to init * try thin wrapper around generate * Update * update mask * breakpoints galore * remove conflict * switch to left-padding * add incomplete model doc * add paligemma global files * batch rename paligemma * make generation match outputs and captioning * style * style * remove copied from + doc * remove more copied from * remove copy from projector * minor fix * update config and style * add readme - dummy * CORRECT image captioning * moving to args * add siglip proper + fix merging image + text features * take update_causal_mask from upstream * remove breakpoint * leverage AutoModel * fix input_ids slicing * make siglip head conditional * remove encoder_decoder value * remove unneeded modeling file * add commented 4d attention mask * FIXED generation with 4D mask * Update src/transformers/models/siglip/modeling_siglip.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix left padding detection * shuffle order of verifications * fix missing labels for training * fix * vectorize merging of features, improve slicing * improve testing before conversion * handle merging in processor * image token index depends on checkpoint * add variants, save processor too * save processors, base tokenizer off spm file * expand model embeddings due to additional image token * pass image processing args * add convert rgb to siglip processor * add \n token separately * fix tokenizer and prompts * fix docstrings * change to camel * fix casing * debug pos_ids and sdpa * pass and use cache_position * add flag for newline tokenization * Update src/transformers/models/paligemma/processing_paligemma.py Co-authored-by:
Merve Noyan <merveenoyan@gmail.com> * simplify conversion script * add copied from * add precision to conversion script * Update src/transformers/models/paligemma/modeling_paligemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * clean up * Shift attention mask from `1:` After discussion with @molbap * add docs, fix quality * quality, tied weights inheritance, and logits/label alignment * fix more tests * pass attn_implementation to language model correctly * add SiglipVisionTransformer to no split modules * skip paligemma test for sdpa dispatch to flash * skip incompatible tests * quality * [broken archive maps] * Apply suggestions - remove archive lists - style - take shape of inputs_embeds for batch Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/utils/dummy_pt_objects.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * simplify conversion script * add suggestions * add suggestions * add copied from * fix * move labels out * revert * fix * remove placeholder labels if None * use cache_position * fix quality + docstrings * fix quality * fix paligemma 4d gemma mask incompatibility * fix config docstring * fix query and attn_mask dtype --------- Co-authored-by:
ArthurZucker <arthur.zucker@gmail.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by:
Merve Noyan <merveenoyan@gmail.com> Co-authored-by:
Pedro Cuenca <pedro@huggingface.co>
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- 13 May, 2024 2 commits
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Marc Sun authored
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Poedator authored
* 4d mask fixes * Update custom 4D mask logic * test moved to mixin * extra tests 4d mask * upd 4d mask and StaticCache handling * added Mask4DTestHard to mistral tests * post-rebase fixes * test fixes for StaticCache * make fix-copies * upd 1 after #30476 * fix common tests * rm elif attention_mask.dim() == 4: * tests combined, fixed, mixtral supported * bigbird style chg reverted * rm if attention_mask.dim() == 2 * modeling_llama formatting chg --------- Co-authored-by:Joao Gante <joao@huggingface.co>
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- 07 May, 2024 1 commit
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JB (Don) authored
* Adding _tie_weights() to prediction heads to support low_cpu_mem_usage=True * Testing for the non-safe-tensors case, since the default is safe-tensors already * Running fixup/fix-copies * Adding accelerate annotations to tests
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- 02 May, 2024 1 commit
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Michael Benayoun authored
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- 01 May, 2024 2 commits
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Raushan Turganbay authored
* move scaling to nn.Module * let the test be here for now (need to fix) * failing tests * last failing models * Revert commit 4c14817f38 * clean-up * oops forgot * codestyle * raise NotImplemented when possible * Update tests/test_modeling_common.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * skip tests in respective modeling files --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Raushan Turganbay authored
use text config's vocab size
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- 26 Apr, 2024 1 commit
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JB (Don) authored
* Adding SDPA support for BERT * Using the proper input name for testing model input in inference() * Adding documentation for SDPA in BERT model page * Use the stable link for the documentation * Adding a gate to only call .contiguous() for torch < 2.2.0 * Additions and fixes to the documentation * Minor updates to documentation * Adding extra requirements needed for the contiguous() bug * Adding "Adapted from" in plcae of the "Copied from" * Add benchmark speedup tables to the documentation * Minor fixes to the documentation * Use ClapText as a replacemenet for Bert in the Copied-From * Some more fixes for the fix-copies references * Overriding the test_eager_matches_sdpa_generate in bert tests to not load with low_cpu_mem_usage [test all] * Undo changes to separate test * Refactored SDPA self attention code for KV projections * Change use_sdpa to attn_implementation * Fix test_sdpa_can_dispatch_on_flash by preparing input (required for MultipleChoice models)
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- 22 Apr, 2024 1 commit
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Pavel Iakubovskii authored
* Add class_embed to tied weights for DETA * Fix test_tied_weights_keys for DETA model * Replace error raise with assert statement
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- 19 Apr, 2024 1 commit
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Jacky Lee authored
* feat: multidevice for resnet * feat: yes! resnet * fix: compare all elements in tuple * feat: support for regnet * feat: support for convnextv2 * feat: support for bit * feat: support for cvt * feat: add support for focalnet * feat: support for yolos * feat: support for glpn * feat: support for imagegpt * feat: support for levit * feat: support for mgp_str * feat: support for mobilnet_v1 * feat: support for mobilnet_v2 * feat: support for mobilevit * feat: support for mobilevitv2 * feat: support for poolformer * fix: copies * fix: code quality check * update: upstream changes from main * fix: consistency check * feat: support for sam * feat: support for switchformer * feat: support for swin * feat: support for swinv2 * feat: support for timesformer * feat: suport for trocr * feat: support for upernet * fix: check copies * update: rerun CI * update: rerun again, maybe * update: one more rerun --------- Co-authored-by:Jacky Lee <jackylee328@gmail.com>
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- 18 Apr, 2024 3 commits
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Younes Belkada authored
FIX: Fixes unexpected behaviour for Llava / LLama & AWQ Fused modules + revert #30070 at the same time (#30317) * Update awq.py * style * revert felix PR * fix * add felix comments
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fxmarty authored
atol for sliding window test
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- 17 Apr, 2024 2 commits
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fxmarty authored
* tentatively re-enable FA2 + SDPA * better comment * _ignore_causal_mask_sdpa as staticmethod * type hints * use past_seen_tokens instead * enable copied from for sdpa * ruff * llama simplifications on review * remove unnecessary self.is_causal check * fix copies * cleaning * precise message * better doc * add test * simplify * Update src/transformers/models/llama/modeling_llama.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/llama/modeling_llama.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/llama/modeling_llama.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * style --------- Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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fxmarty authored
* fix sdpa + sliding window * give credit Co-authored-by:
ehuaa <ehuamail@163.com> * remove unnecessary warning * fix typog * add test --------- Co-authored-by:
ehuaa <ehuamail@163.com>
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- 15 Apr, 2024 1 commit
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amyeroberts authored
* Initial add model additions * Test * All weights loading * Can perform full forward pass * Local and remote the same * Matching local and remote * Fixup * Idefics2Model importable; fixup docstrings * Don't skip by default * Remove deprecated use_resampler arg * Remove self.config * DecoupledLinear takes config * Tidy up * Enable eager attention and tidy up * Most tests passing * Update for batch of processed images * Add image processor * Update doc pages * Update conversion script * Remove erroneous breakpoint * Remove accidendtal spelling change * Update to reflect changes on hub - make generate work * Fix up * Image processor tests * Update tests * Add a processor * Add a processor * Update convert script * Update modeling file - remove fixmes * Bug fix * Add processing test * Use processor * Fix up * Update src/transformers/models/idefics2/modeling_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Update src/transformers/models/idefics2/modeling_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Fix test * Update config - PR comments and defaults align with checkpoint * Reviewer comments * Add copied froms for flahs attention * Update src/transformers/models/idefics2/modeling_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Apply suggestions from code review Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Remove qk_layer_norm and freeze_layers functionality * Fix * Remove freeze_layer options from config * Sync with upstream main * Fix attention shapes siglip * Remove Llava-next refs - TO REBASE * Use AutoModel for text model * Add comment to explain vision embeddings * Fix issue with tie_word_embeddings * Address review comments * Fix and fix up * Chat templates for idefics * Fix copies * Fix * Add layer norms to FA2 * Fix tests * Apply suggestions from code review Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Fix * Review comments * Update src/transformers/models/idefics2/modeling_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Update inputs merger * Merge weights in correct order * Update convert script * Update src/transformers/models/idefics2/processing_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Update template * Model code examples (fix idefics too) * More review comments * Tidy up * Update processing * Fix attention mask preparation * Update inputs_merger inputs * Vectorize inputs_merger * Update src/transformers/models/idefics2/__init__.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/idefics2/modeling_idefics2.py * Review comments * saying bye to the `qk_layer_norms` * Simplify * Update latents * Remove erroneuous readme changes * Return images when applying chat template * Fix bug - prompt images are for a single sample * Update src/transformers/models/idefics2/modeling_idefics2.py * image splitting * fix test * some more comment * some comment * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/idefics2/image_processing_idefics2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update processor * Update model tests * Update src/transformers/models/idefics2/processing_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Update src/transformers/models/idefics2/processing_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Don't add BOS in template * Update src/transformers/models/idefics2/processing_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Remove index in examples * Update tests to reflect #13 * Update src/transformers/models/idefics2/processing_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * PR comment - consistent typing * Update readme and model doc * Update docs * Update checkpoint references * Update examples * Fix and update tests * Small addition * Update tests - remove copied from as no ignore placement copy could be found * Update example * small fixes * Update docs/source/en/model_doc/idefics2.md Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Update docs/source/en/model_doc/idefics2.md Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Update README.md Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Connector model as bridge * Fix up * Fix up * Don't pass model inputs for generation kwargs update * IDEFICS-2 -> Idefics2 * Remove config archive name * IDEFICS-2 -> Idefics2 * Add back llava-next * Update readmes * Add requirements for processor tester * Use custom convert_to_rgb to avoid possible BC * Fix doc example * Fix doc example * Skip model doc tests - as model to large * More doc example - account for image splitting * Update src/transformers/image_transforms.py * Fix config doctest --------- Co-authored-by:
Pablo Montalvo <39954772+molbap@users.noreply.github.com> Co-authored-by:
ArthurZucker <arthur.zucker@gmail.com> Co-authored-by:
Victor SANH <victorsanh@gmail.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 09 Apr, 2024 1 commit
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Yih-Dar authored
* fix mistral and mixtral * add pdb * fix mixtral tesst * fix * fix mistral ? * add fix gemma * fix mistral * fix * test * anoter test * fix * fix * fix mistral tests * fix them again * final fixes for mistral * fix padding right * fix whipser fa2 * fix * fix * fix gemma * test * fix llama * fix * fix * fix llama gemma * add class attribute * fix CI * clarify whisper * compute_capability * rename names in some comments * Add # fmt: skip * make style * Update tests/models/mistral/test_modeling_mistral.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * update * update --------- Co-authored-by:
Younes Belkada <younesbelkada@gmail.com> Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 01 Apr, 2024 1 commit
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Yoach Lacombe authored
* fix FA2 tests * refactor inference test name
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- 28 Mar, 2024 1 commit
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Joao Gante authored
* replace torch.testing.assert_allclose by torch.testing.assert_close * missing atol rtol
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- 20 Mar, 2024 1 commit
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NielsRogge authored
Remove unused code
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- 13 Mar, 2024 1 commit
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Raushan Turganbay authored
* fix batchinng tests for new models * Update tests/models/seggpt/test_modeling_seggpt.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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- 12 Mar, 2024 1 commit
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Raushan Turganbay authored
* add tests for batching support * Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/test_modeling_common.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/test_modeling_common.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/test_modeling_common.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * fixes and comments * use cosine distance for conv models * skip mra model testing * Update tests/models/vilt/test_modeling_vilt.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * finzalize and make style * check model type by input names * Update tests/models/vilt/test_modeling_vilt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fixed batch size for all testers * Revert "fixed batch size for all testers" This reverts commit 525f3a0a058f069fbda00352cf202b728d40df99. * add batch_size for all testers * dict from model output * do not skip layoutlm * bring back some code from git revert * Update tests/test_modeling_common.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/test_modeling_common.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * clean-up * where did minus go in tolerance * make whisper happy * deal with consequences of losing minus * deal with consequences of losing minus * maskformer needs its own test for happiness * fix more models * tag flaky CV models from Amy's approval * make codestyle --------- Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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- 26 Feb, 2024 2 commits
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Eduardo Pacheco authored
* First commit * Improvements * More improvements * Converted original checkpoint to HF checkpoint * Fix style * Fixed forward * More improvements * More improvements * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Remove asserts * Remove unnecessary attributes * Changed model name to camel case * Improve forward doc * Improve tests * More improvements * Fix copies * Fix doc * Make SegGptImageProcessor more flexible * Added few-shot test * Fix style * Update READMEs and docs * Update READMEs * Make inputs required * Add SegGptForImageSegmentation * Make tests pass * Rename to out_indicies * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Fixed naming convention * Copying SegGptMlp from modeling_sam.py * Some minor improvements * Remove mlp_ratio * Fix docstrings * Fixed docstring match * Objects defined before use * Storing only patch_size and beta for SegGptLoss * removed _prepare_inputs method * Removed modified from headers * Renamed to output_indicies * Removed unnecessary einsums * Update tests/models/seggpt/test_modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/seggpt/test_modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/seggpt/test_modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Fixing issues * Raise error as soon as possible * More fixes * Fix merge * Added palette to SegGptImageProcessor * Fixed typo * Fixed shape typo * Added permute before doing palette to class mapping * Fixed style * Fixed and added tests * Fixed docstrings * Matching SegFormer API for post_processing_semantic_segmentation * Fixed copies * Fixed SegGptImageProcessor to handle both binary and RGB masks * Updated docstrings of SegGptImageProcessor * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/seggpt.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/convert_seggpt_to_hf.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/seggpt/test_image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/seggpt/test_modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Object definitions above & fix style * Renamed output_indices to intermediate_feature_indices * Removed unnecessary check on bool_masked_pos * Loss first in the outputs * Added validation for do_normalize * Improved SegGptImageProcessor and added new tests * Added comment * Added docstrings to SegGptLoss * Reimplemented ensemble condition logic in SegGptEncoder * Update src/transformers/models/seggpt/__init__.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/seggpt/convert_seggpt_to_hf.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Updated docstrings to use post_process_semantic_segmentation * Fixed typo on docstrings * moved pixel values test to test_image_processing_seggpt * Addressed comments * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Updated docstrings for SegGptLoss * Address comments * Added SegGpt example to model docs * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * moved patchify and unpatchify * Rename checkpoint * Renamed intermediate_features to intermediate_hidden_states for consistency * Update src/transformers/models/seggpt/configuration_seggpt.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Replaced post_process_masks for post_process_semantic_segmentation in the docs --------- Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
Niels <niels.rogge1@gmail.com> Co-authored-by:
Eduardo Pacheco <eduardo.pacheco@limehome.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Merve Noyan authored
* add feature extraction mapping * added prefix * ruff check * minor fix * Update modeling_auto.py * fix typo * remove prefix to make variable public/importable * Update src/transformers/models/auto/modeling_auto.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fixes * addressed comments * nit * fix-copies * remove from tests * this should fix * Update tests/models/convnextv2/test_modeling_convnextv2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * nits --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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- 20 Feb, 2024 1 commit
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amyeroberts authored
* Revert "Add tie_weights() to LM heads and set bias in set_output_embeddings() (#28948)" This reverts commit 725f4ad1. * Revert "Patch to skip failing `test_save_load_low_cpu_mem_usage` tests (#29043)" This reverts commit 4156f517.
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- 14 Feb, 2024 1 commit
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JB (Don) authored
* Add tie_weights() to LM heads and set bias in set_output_embeddings() The bias were not tied correctly in some LM heads, and this change should fix that. * Moving test_save_and_load_low_cpu_mem_usage to ModelTesterMixin * Adding _tie_weights() to MPNet and Vilt * Skip test for low cpu mem usage for Deta/DeformableDetr since they cannot init on meta device * Rename to test name to save_load to match the convention
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- 12 Feb, 2024 1 commit
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Joao Gante authored
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- 01 Feb, 2024 1 commit
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fxmarty authored
* fix symbolic_trace with kv cache * comment & better test
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