* Apple Metal Performance Shader (MPS) device support
Following https://pytorch.org/blog/introducing-accelerated-pytorch-training-on-mac/
Should work with Apple M1 devices with PyTorch nightly installed with command `--device mps`. Usage examples:
```bash
python train.py --device mps
python detect.py --device mps
python val.py --device mps
```
* Update device strategy to fix MPS issue
* Write .yaml file when exporting model to openvino
Write .yaml file automatically when exporting model to openvino to be used during inference
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update export.py
* Update export.py
* Load metadata on inference
* Update common.py
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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Add PyTorch AMP check
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Cleanup
* Cleanup
* Cleanup
* Robust for DDP
* Fixes
* Add amp enabled boolean to check_train_batch_size
* Simplify
* space to prefix
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* Add DWConvTranspose2d() module
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* Add DWConvTranspose2d() module
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* Fix
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* Fix
* Fix
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* Uses OpenVINO runtime instead of openvino-dev
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* export with openvino package
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* Revert export.py
* Update common.py
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* New TensorFlow `TFCrossConv()` module
* Move from experimental to common
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* Add C3x
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* Add to C3x to yolo.py
* Add to C3x to tf.py
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* TFC3x bug fix
* TFC3x bug fix
* TFC3x bug fix
* Add TFDWConv g==c1==c2 check
* Add comment
* Update tf.py
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* New TensorFlow `TFDWConv()` module
Analog to DWConv() module:
8aa2085a7e/models/common.py (L53-L57)
* Fix and new activations() function
* Update tf.py
* set common default stride as 32
* restore default stride, and set it on argument optional
* fix wrong use of opt
* fix missing parameter of stride
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* fix format of parameters
* Update val.py
* Update common.py
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* [pre-commit.ci] pre-commit suggestions
updates:
- [github.com/asottile/pyupgrade: v2.31.0 → v2.31.1](https://github.com/asottile/pyupgrade/compare/v2.31.0...v2.31.1)
- [github.com/pre-commit/mirrors-yapf: v0.31.0 → v0.32.0](https://github.com/pre-commit/mirrors-yapf/compare/v0.31.0...v0.32.0)
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update yolo.py
* Update activations.py
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* Update activations.py
* Update tf.py
* Update tf.py
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* Update
* Update
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* precommit: yapf
* align isort
* fix
# Conflicts:
# utils/plots.py
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* Update setup.cfg
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* Update setup.cfg
* Update setup.cfg
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* Update wandb_utils.py
* Update augmentations.py
* Update setup.cfg
* Update yolo.py
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* Update val.py
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* simplify colorstr
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* val run fix
* export.py last comma
* Update export.py
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* Update hubconf.py
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* PyTorch Hub tuple fix
* PyTorch Hub tuple fix2
* PyTorch Hub tuple fix3
* Update setup
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* yolo.py profiling updates
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* Sidestep os.path.relpath() Windows bug
os.path.relpath() seems to have a major bug on Windows due to Windows horrible path handling. This fix attempts to sidestep the issue.
```
File "C:\Users\mkokg/.cache\torch\hub\ultralytics_yolov5_master\export.py", line 64, in
ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative
File "C:\Users\mkokg\AppData\Local\Programs\Python\Python310\lib\ntpath.py", line 718, in relpath
raise ValueError("path is on mount %r, start on mount %r" % (
ValueError: path is on mount 'C:', start on mount 'D:'
```
* Update yolo.py
* Update yolo.py
* Update yolo.py
* Update export.py
* removed transpose op for better edgetpu support
* fix for training case
* enabled experimental new quantizer flag
* precalculate add and mul ops at compile time
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