Ankle/yolov5_birdproject
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Add --hard-fail argument to benchmarks for CI errors (#8513)

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* Add `--hard-fail` list argument to benchmarks for CI

Will cause CI to fail on a benchmark failure for given indices.

* Update ci-testing.yml

* Attempt Failure (CI should fail)

* Update benchmarks.py

* Update export.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update benchmarks.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update ci-testing.yml

* Update benchmarks.py

* Update benchmarks.py

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Glenn Jocherandpre-commit-ci[bot] authored and GitHub committed 2022-07-07 23:41:34 +02:00
1 parent 39d7a93619
commit 3e54651fca
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+25 -17
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export.py
+12 -12
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@@ -75,18 +75,18 @@ from utils.torch_utils import select_device
def export_formats():
# YOLOv5 export formats
x = [
['PyTorch', '-', '.pt', True],
['TorchScript', 'torchscript', '.torchscript', True],
['ONNX', 'onnx', '.onnx', True],
['OpenVINO', 'openvino', '_openvino_model', False],
['TensorRT', 'engine', '.engine', True],
['CoreML', 'coreml', '.mlmodel', False],
['TensorFlow SavedModel', 'saved_model', '_saved_model', True],
['TensorFlow GraphDef', 'pb', '.pb', True],
['TensorFlow Lite', 'tflite', '.tflite', False],
['TensorFlow Edge TPU', 'edgetpu', '_edgetpu.tflite', False],
['TensorFlow.js', 'tfjs', '_web_model', False],]
return pd.DataFrame(x, columns=['Format', 'Argument', 'Suffix', 'GPU'])
['PyTorch', '-', '.pt', True, True],
['TorchScript', 'torchscript', '.torchscript', True, True],
['ONNX', 'onnx', '.onnx', True, True],
['OpenVINO', 'openvino', '_openvino_model', True, False],
['TensorRT', 'engine', '.engine', False, True],
['CoreML', 'coreml', '.mlmodel', True, False],
['TensorFlow SavedModel', 'saved_model', '_saved_model', True, True],
['TensorFlow GraphDef', 'pb', '.pb', True, True],
['TensorFlow Lite', 'tflite', '.tflite', True, False],
['TensorFlow Edge TPU', 'edgetpu', '_edgetpu.tflite', False, False],
['TensorFlow.js', 'tfjs', '_web_model', False, False],]
return pd.DataFrame(x, columns=['Format', 'Argument', 'Suffix', 'CPU', 'GPU'])
def export_torchscript(model, im, file, optimize, prefix=colorstr('TorchScript:')):