ultralytics 8.3.19 TensorRT 10.5.0 support (#17076)
Signed-off-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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4 changed files with 7 additions and 7 deletions
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@ -41,8 +41,8 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
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# Install pip packages
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RUN python3 -m pip install --upgrade pip wheel
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# Pin TensorRT-cu12==10.1.0 to avoid 10.2.0 bug https://github.com/ultralytics/ultralytics/pull/14239 (note -cu12 must be used)
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RUN pip install -e ".[export]" "tensorrt-cu12==10.1.0" "albumentations>=1.4.6" comet pycocotools
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# Note -cu12 must be used with tensorrt)
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RUN pip install -e ".[export]" tensorrt-cu12 "albumentations>=1.4.6" comet pycocotools
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# Run exports to AutoInstall packages
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# Edge TPU export fails the first time so is run twice here
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@ -1,6 +1,6 @@
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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__version__ = "8.3.18"
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__version__ = "8.3.19"
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import os
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@ -691,10 +691,10 @@ class Exporter:
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import tensorrt as trt # noqa
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except ImportError:
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if LINUX:
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check_requirements("tensorrt>7.0.0,<=10.1.0")
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check_requirements("tensorrt>7.0.0,!=10.1.0")
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import tensorrt as trt # noqa
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check_version(trt.__version__, ">=7.0.0", hard=True)
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check_version(trt.__version__, "<=10.1.0", msg="https://github.com/ultralytics/ultralytics/pull/14239")
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check_version(trt.__version__, "!=10.1.0", msg="https://github.com/ultralytics/ultralytics/pull/14239")
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# Setup and checks
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LOGGER.info(f"\n{prefix} starting export with TensorRT {trt.__version__}...")
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@ -226,10 +226,10 @@ class AutoBackend(nn.Module):
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import tensorrt as trt # noqa https://developer.nvidia.com/nvidia-tensorrt-download
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except ImportError:
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if LINUX:
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check_requirements("tensorrt>7.0.0,<=10.1.0")
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check_requirements("tensorrt>7.0.0,!=10.1.0")
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import tensorrt as trt # noqa
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check_version(trt.__version__, ">=7.0.0", hard=True)
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check_version(trt.__version__, "<=10.1.0", msg="https://github.com/ultralytics/ultralytics/pull/14239")
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check_version(trt.__version__, "!=10.1.0", msg="https://github.com/ultralytics/ultralytics/pull/14239")
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if device.type == "cpu":
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device = torch.device("cuda:0")
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Binding = namedtuple("Binding", ("name", "dtype", "shape", "data", "ptr"))
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