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* 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>
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Python
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Python