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* 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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| .. | ||
| internal | ||
| main_classes | ||
| model_doc | ||
| tasks | ||
| _config.py | ||
| _toctree.yml | ||
| accelerate.mdx | ||
| add_new_model.mdx | ||
| add_new_pipeline.mdx | ||
| autoclass_tutorial.mdx | ||
| benchmarks.mdx | ||
| bertology.mdx | ||
| big_models.mdx | ||
| community.mdx | ||
| contributing.md | ||
| converting_tensorflow_models.mdx | ||
| create_a_model.mdx | ||
| custom_models.mdx | ||
| debugging.mdx | ||
| fast_tokenizers.mdx | ||
| glossary.mdx | ||
| index.mdx | ||
| installation.mdx | ||
| migration.mdx | ||
| model_sharing.mdx | ||
| model_summary.mdx | ||
| multilingual.mdx | ||
| notebooks.md | ||
| pad_truncation.mdx | ||
| perf_hardware.mdx | ||
| perf_infer_cpu.mdx | ||
| perf_infer_gpu_many.mdx | ||
| perf_infer_gpu_one.mdx | ||
| perf_infer_special.mdx | ||
| perf_train_cpu_many.mdx | ||
| perf_train_cpu.mdx | ||
| perf_train_gpu_many.mdx | ||
| perf_train_gpu_one.mdx | ||
| perf_train_special.mdx | ||
| perf_train_tpu.mdx | ||
| performance.mdx | ||
| perplexity.mdx | ||
| philosophy.mdx | ||
| pipeline_tutorial.mdx | ||
| pr_checks.mdx | ||
| preprocessing.mdx | ||
| quicktour.mdx | ||
| run_scripts.mdx | ||
| sagemaker.mdx | ||
| serialization.mdx | ||
| task_summary.mdx | ||
| testing.mdx | ||
| tokenizer_summary.mdx | ||
| training.mdx | ||
| troubleshooting.mdx | ||