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Ultralytics TensorRT10 update (#13933)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-06-24 14:36:43 +02:00 • committed by GitHub
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commit f5c0395a05
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3 changed files with 3 additions and 3 deletions
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2
docker/Dockerfile
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@ -4,7 +4,7 @@
# Start FROM PyTorch image https://hub.docker.com/r/pytorch/pytorch or nvcr.io/nvidia/pytorch:23.03-py3 # Start FROM PyTorch image https://hub.docker.com/r/pytorch/pytorch or nvcr.io/nvidia/pytorch:23.03-py3
FROM pytorch/pytorch:2.2.2-cuda12.1-cudnn8-runtime FROM pytorch/pytorch:2.2.2-cuda12.1-cudnn8-runtime
RUN pip install --no-cache-dir nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com RUN pip install --no-cache-dir tensorrt
# Set environment variables # Set environment variables
ENV APP_HOME /usr/src/ultralytics ENV APP_HOME /usr/src/ultralytics

2
ultralytics/engine/exporter.py
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@ -686,7 +686,7 @@ class Exporter:
import tensorrt as trt # noqa import tensorrt as trt # noqa
except ImportError: except ImportError:
if LINUX: if LINUX:
check_requirements("nvidia-tensorrt", cmds="-U --index-url https://pypi.ngc.nvidia.com") check_requirements("tensorrt", cmds="-U")
import tensorrt as trt # noqa import tensorrt as trt # noqa
check_version(trt.__version__, "7.0.0", hard=True) # require tensorrt>=7.0.0 check_version(trt.__version__, "7.0.0", hard=True) # require tensorrt>=7.0.0

2
ultralytics/nn/autobackend.py
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@ -225,7 +225,7 @@ class AutoBackend(nn.Module):
import tensorrt as trt # noqa https://developer.nvidia.com/nvidia-tensorrt-download import tensorrt as trt # noqa https://developer.nvidia.com/nvidia-tensorrt-download
except ImportError: except ImportError:
if LINUX: if LINUX:
check_requirements("nvidia-tensorrt", cmds="-U --index-url https://pypi.ngc.nvidia.com") check_requirements("tensorrt", cmds="-U")
import tensorrt as trt # noqa import tensorrt as trt # noqa
check_version(trt.__version__, "7.0.0", hard=True) # require tensorrt>=7.0.0 check_version(trt.__version__, "7.0.0", hard=True) # require tensorrt>=7.0.0
if device.type == "cpu": if device.type == "cpu":