Autoinstall TensorRT if missing (#7537)
* Autoinstall TensorRT if missing May resolve https://github.com/ultralytics/yolov5/issues/7464 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update export.py * Update export.py * Update export.py * Update export.py Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>pull/7529/head^2
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export.py
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export.py
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@ -217,7 +217,15 @@ def export_coreml(model, im, file, int8, half, prefix=colorstr('CoreML:')):
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def export_engine(model, im, file, train, half, simplify, workspace=4, verbose=False, prefix=colorstr('TensorRT:')):
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# YOLOv5 TensorRT export https://developer.nvidia.com/tensorrt
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try:
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import tensorrt as trt # pip install -U nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com
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assert im.device.type != 'cpu', 'export running on CPU but must be on GPU, i.e. `python export.py --device 0`'
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try:
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import tensorrt as trt
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except Exception:
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s = f"\n{prefix} tensorrt not found and is required by YOLOv5"
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LOGGER.info(f"{s}, attempting auto-update...")
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r = '-U nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com'
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LOGGER.info(subprocess.check_output(f"pip install {r}", shell=True).decode())
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import tensorrt as trt
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if trt.__version__[0] == '7': # TensorRT 7 handling https://github.com/ultralytics/yolov5/issues/6012
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grid = model.model[-1].anchor_grid
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@ -230,7 +238,6 @@ def export_engine(model, im, file, train, half, simplify, workspace=4, verbose=F
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onnx = file.with_suffix('.onnx')
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LOGGER.info(f'\n{prefix} starting export with TensorRT {trt.__version__}...')
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assert im.device.type != 'cpu', 'export running on CPU but must be on GPU, i.e. `python export.py --device 0`'
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assert onnx.exists(), f'failed to export ONNX file: {onnx}'
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f = file.with_suffix('.engine') # TensorRT engine file
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logger = trt.Logger(trt.Logger.INFO)
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