Require explicit request for MPS, i.e.
```bash
python detect.py --device mps
```

Reverts https://github.com/ultralytics/yolov5/pull/8210 for preferring MPS if available. 

Note that torch MPS is experiencing ongoing compatibility issues in https://github.com/pytorch/pytorch/issues/77886

* TRT `--half` fix autocast images to FP16

Resolves bug raised in https://github.com/ultralytics/yolov5/issues/7822

* Update common.py

* Update cache comments

For better readability

* Update dataloaders.py

* add more docs

* add more docs

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* Update train.py
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* Implementation of Early Stopping for DDP training

This edit correctly uses the broadcast_object_list() function to send slave processes a boolean so to end the training phase if the variable is True, thus allowing the master process to destroy the process group and terminate.

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* Update train.py

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* Further cleanup

This cleans up the definition of broadcast_list and removes the requirement for clear() afterward.
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* Fix ONNX `--dynamic` export on GPU

Patch forces --dynamic export model and image to CPU. Resolves bug raised in https://github.com/ultralytics/yolov5/issues/8377

* Update export.py

Updates the requirements on [protobuf](https://github.com/protocolbuffers/protobuf) to permit the latest version.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
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* Add filesize to benchmarks.py

* Add filesize to benchmarks.py

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Per https://github.com/ultralytics/yolov5/issues/8352

Revamp Chines docs

* fixed initial window size of detect.py being tiny

* cleanup
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* Create README_cn.md

Add mandarin version of README

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* Update README.md

* fix link

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* Kiera fix

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* Initial implementation of --viewsz

* use mouse resize

* Add comment
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Display device_name="MYRIAD" for Intel NCS2 option per user question in https://github.com/ultralytics/yolov5/issues/8154

Improve DDP console response in https://github.com/ultralytics/yolov5/issues/8283

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Avoid potential issues with deterministic ops. 

[ ] - verify for identical mAP to master

* HUB dataset_stats() error reporting

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* Update dataloaders.py
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* Prefer MPS over CPU if available

* Update torch_utils.py

Negatively impacts YouTube inference but removes any lag on webcams/RTSP/RTMP etc.

Resolves https://github.com/ultralytics/yolov5/issues/4465

* Reject webcam inference on Colab/Kaggle

Improve user error understanding for https://github.com/ultralytics/yolov5/issues/8180

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* cleanup
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Bumps [actions/setup-python](https://github.com/actions/setup-python) from 3 to 4.
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* Update dataloaders.py

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* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* AutoBatch checks against failed solutions

@kalenmike this is a simple improvement to AutoBatch to verify that returned solutions have not already failed, i.e. return batch-size 8 when 8 already produced CUDA out of memory.

This is a halfway fix until I can implement a 'final solution' that will actively verify the solved-for batch size rather than passively assume it works.

* Update autobatch.py

* Update autobatch.py

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updates:
- [github.com/asottile/pyupgrade: v2.32.0 → v2.32.1](https://github.com/asottile/pyupgrade/compare/v2.32.0...v2.32.1)
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* experimental.py Apple MPS fix

May resolve https://github.com/ultralytics/yolov5/issues/8102

* Update experimental.py

* Update experimental.py

* Improved dataset error introspection

Intended to help https://github.com/ultralytics/yolov5/issues/8090

* Update general.py

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update docker.yml

Fixed FP32 TRT  model export
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make init bias better, 
I think `detach` is more safer than `data`

Simplify and update `--save-period` epoch 0