* Update dataloaders.py

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Resolves https://github.com/ultralytics/yolov5/issues/8642

Faster crops

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* Set `torch.cuda.manual_seed_all()` for DDP

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Resolves silent outputs after model load

Otherwise, an error is thrown if the tensorboard logger is not included.

* upgrade onnxsim to v0.4.1
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* Update export.py

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Resolves https://github.com/ultralytics/yolov5/issues/8623

* assert torch!=1.12.0 for DDP training

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* Refactor optimizer initialization

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* Update ci-testing with `pip install wheel`

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The default weight_decay value of AdamW is 1e-2, so we should set it to zero.

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* Cleanup
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Raise error on invalid model

Update requirements.txt

Protected divides in IOU function to resolve https://github.com/ultralytics/yolov5/issues/8539

* Fix LoadImages with dataset yaml lists

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Improved error reporting for https://github.com/ultralytics/yolov5/issues/8519

Properly expose `batch_size` from OpenVINO
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* Add `--hard-fail` list argument to benchmarks for CI

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Avoid FP64 ops for MPS support

Resolves https://github.com/ultralytics/yolov5/pull/7878#issuecomment-1177952614

Revert "Expose OpenVINO `batch_size` similarly to TensorRT (#8437)"

This reverts commit da2ee393.

* attempt at reproducibility

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