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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>
modifyDataloader
Glenn Jocher GitHub il y a 2 ans
Parent
révision
cc1d7df03c
Aucune clé connue n'a été trouvée dans la base pour cette signature ID de la clé GPG: 4AEE18F83AFDEB23
1 fichiers modifiés avec 9 ajouts et 2 suppressions
  1. +9
    -2
      export.py

+ 9
- 2
export.py Voir le fichier

@@ -217,7 +217,15 @@ def export_coreml(model, im, file, int8, half, prefix=colorstr('CoreML:')):
def export_engine(model, im, file, train, half, simplify, workspace=4, verbose=False, prefix=colorstr('TensorRT:')):
# YOLOv5 TensorRT export https://developer.nvidia.com/tensorrt
try:
import tensorrt as trt # pip install -U nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com
assert im.device.type != 'cpu', 'export running on CPU but must be on GPU, i.e. `python export.py --device 0`'
try:
import tensorrt as trt
except Exception:
s = f"\n{prefix} tensorrt not found and is required by YOLOv5"
LOGGER.info(f"{s}, attempting auto-update...")
r = '-U nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com'
LOGGER.info(subprocess.check_output(f"pip install {r}", shell=True).decode())
import tensorrt as trt

if trt.__version__[0] == '7': # TensorRT 7 handling https://github.com/ultralytics/yolov5/issues/6012
grid = model.model[-1].anchor_grid
@@ -230,7 +238,6 @@ def export_engine(model, im, file, train, half, simplify, workspace=4, verbose=F
onnx = file.with_suffix('.onnx')

LOGGER.info(f'\n{prefix} starting export with TensorRT {trt.__version__}...')
assert im.device.type != 'cpu', 'export running on CPU but must be on GPU, i.e. `python export.py --device 0`'
assert onnx.exists(), f'failed to export ONNX file: {onnx}'
f = file.with_suffix('.engine') # TensorRT engine file
logger = trt.Logger(trt.Logger.INFO)

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