Commit Graph

2 Commits

Author SHA1 Message Date
Steven Liu
c0f8d055ce
[docs] Redesign (#31757)
* toctree

* not-doctested.txt

* collapse sections

* feedback

* update

* rewrite get started sections

* fixes

* fix

* loading models

* fix

* customize models

* share

* fix link

* contribute part 1

* contribute pt 2

* fix toctree

* tokenization pt 1

* Add new model (#32615)

* v1 - working version

* fix

* fix

* fix

* fix

* rename to correct name

* fix title

* fixup

* rename files

* fix

* add copied from on tests

* rename to `FalconMamba` everywhere and fix bugs

* fix quantization + accelerate

* fix copies

* add `torch.compile` support

* fix tests

* fix tests and add slow tests

* copies on config

* merge the latest changes

* fix tests

* add few lines about instruct

* Apply suggestions from code review

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix

* fix tests

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* "to be not" -> "not to be" (#32636)

* "to be not" -> "not to be"

* Update sam.md

* Update trainer.py

* Update modeling_utils.py

* Update test_modeling_utils.py

* Update test_modeling_utils.py

* fix hfoption tag

* tokenization pt. 2

* image processor

* fix toctree

* backbones

* feature extractor

* fix file name

* processor

* update not-doctested

* update

* make style

* fix toctree

* revision

* make fixup

* fix toctree

* fix

* make style

* fix hfoption tag

* pipeline

* pipeline gradio

* pipeline web server

* add pipeline

* fix toctree

* not-doctested

* prompting

* llm optims

* fix toctree

* fixes

* cache

* text generation

* fix

* chat pipeline

* chat stuff

* xla

* torch.compile

* cpu inference

* toctree

* gpu inference

* agents and tools

* gguf/tiktoken

* finetune

* toctree

* trainer

* trainer pt 2

* optims

* optimizers

* accelerate

* parallelism

* fsdp

* update

* distributed cpu

* hardware training

* gpu training

* gpu training 2

* peft

* distrib debug

* deepspeed 1

* deepspeed 2

* chat toctree

* quant pt 1

* quant pt 2

* fix toctree

* fix

* fix

* quant pt 3

* quant pt 4

* serialization

* torchscript

* scripts

* tpu

* review

* model addition timeline

* modular

* more reviews

* reviews

* fix toctree

* reviews reviews

* continue reviews

* more reviews

* modular transformers

* more review

* zamba2

* fix

* all frameworks

* pytorch

* supported model frameworks

* flashattention

* rm check_table

* not-doctested.txt

* rm check_support_list.py

* feedback

* updates/feedback

* review

* feedback

* fix

* update

* feedback

* updates

* update

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
2025-03-03 10:33:46 -08:00
David
8d73a38606
Add DAB-DETR for object detection (#30803)
* initial commit

* encoder+decoder layer changes WIP

* architecture checks

* working version of detection + segmentation

* fix modeling outputs

* fix return dict + output att/hs

* found the position embedding masking bug

* pre-training version

* added iamge processors

* typo in init.py

* iterupdate set to false

* fixed num_labels in class_output linear layer bias init

* multihead attention shape fixes

* test improvements

* test update

* dab-detr model_doc update

* dab-detr model_doc update2

* test fix:test_retain_grad_hidden_states_attentions

* config file clean and renaming variables

* config file clean and renaming variables fix

* updated convert_to_hf file

* small fixes

* style and qulity checks

* return_dict fix

* Merge branch main into add_dab_detr

* small comment fix

* skip test_inputs_embeds test

* image processor updates + image processor test updates

* check copies test fix update

* updates for check_copies.py test

* updates for check_copies.py test2

* tied weights fix

* fixed image processing tests and fixed shared weights issues

* added numpy nd array option to get_Expected_values method in test_image_processing_dab_detr.py

* delete prints from test file

* SafeTensor modification to solve HF Trainer issue

* removing the safetensor modifications

* make fix copies and hf uplaod has been added.

* fixed index.md

* fixed repo consistency

* styel fix and dabdetrimageprocessor docstring update

* requested modifications after the first review

* Update src/transformers/models/dab_detr/image_processing_dab_detr.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* repo consistency has been fixed

* update copied NestedTensor function after main merge

* Update src/transformers/models/dab_detr/modeling_dab_detr.py

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* temp commit

* temp commit2

* temp commit 3

* unit tests are fixed

* fixed repo consistency

* updated expected_boxes varible values based on related notebook results in DABDETRIntegrationTests file.

* temporarialy config modifications and repo consistency fixes

* Put dilation parameter back to config

* pattern embeddings have been added to the rename_keys method

* add dilation comment to config + add as an exception in check_config_attributes SPECIAL CASES

* delete FeatureExtractor part from docs.md

* requested modifications in modeling_dab_detr.py

* [run_slow] dab_detr

* deleted last segmentation code part, updated conversion script and changed the hf path in test files

* temp commit of requested modifications

* temp commit of requested modifications 2

* updated config file, resolved codepaths and refactored conversion script

* updated decodelayer block types and refactored conversion script

* style and quality update

* small modifications based on the request

* attentions are refactored

* removed loss functions from modeling file, added loss function to lossutils, tried to move the MLP layer generation to config but it failed

* deleted imageprocessor

* fixed conversion script + quality and style

* fixed config_att

* [run_slow] dab_detr

* changing model path in conversion file and in test file

* fix Decoder variable naming

* testing the old loss function

* switched back to the new loss function and testing with the odl attention functions

* switched back to the new last good result modeling file

* moved back to the version when I asked the review

* missing new line at the end of the file

* old version test

* turn back to newest mdoel versino but change image processor

* style fix

* style fix after merge main

* [run_slow] dab_detr

* [run_slow] dab_detr

* added device and type for head bias data part

* [run_slow] dab_detr

* fixed model head bias data fill

* changed test_inference_object_detection_head assertTrues to torch test assert_close

* fixes part 1

* quality update

* self.bbox_embed in decoder has been restored

* changed Assert true torch closeall methods to torch testing assertclose

* modelcard markdown file has been updated

* deleted intemediate list from decoder module

---------

Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
2025-02-04 17:28:27 +00:00