@@ -104,28 +104,17 @@ complicates installation of the NVIDIA driver and is beyond the scope of these i
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<code class =" devsite-terminal " >sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"</code >
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<code class =" devsite-terminal " >sudo apt-get update</code >
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- <code class =" devsite-terminal " >wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb</code >
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-
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- <code class =" devsite-terminal " >sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb</code >
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- <code class =" devsite-terminal " >sudo apt-get update</code >
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-
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- <code class =" devsite-terminal " >wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/libnvinfer7_7.1.3-1+cuda11.0_amd64.deb</code >
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- <code class =" devsite-terminal " >sudo apt install ./libnvinfer7_7.1.3-1+cuda11.0_amd64.deb</code >
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- <code class =" devsite-terminal " >sudo apt-get update</code >
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-
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# Install development and runtime libraries (~4GB)
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<code class =" devsite-terminal " >sudo apt-get install --no-install-recommends \
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- cuda-11-0 \
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- libcudnn8=8.0.4.30-1+cuda11.0 \
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- libcudnn8-dev=8.0.4.30-1+cuda11.0
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+ cuda-11-2 \
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+ libcudnn8=8.1.0.77-1+cuda11.2 \
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+ libcudnn8-dev=8.1.0.77-1+cuda11.2 \
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+ libnvinfer8=8.2.4-1+cuda11.4 \
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+ libnvinfer-dev=8.2.4-1+cuda11.4 \
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+ libnvinfer-plugin8=8.2.4-1+cuda11.4 \
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+ libnvinfer-plugin-dev=8.2.4-1+cuda11.4
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</code >
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# Reboot. Check that GPUs are visible using the command: nvidia-smi
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-
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- # Install TensorRT. Requires that libcudnn8 is installed above.
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- <code class =" devsite-terminal " >sudo apt-get install -y --no-install-recommends libnvinfer7=7.1.3-1+cuda11.0 \
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- libnvinfer-dev=7.1.3-1+cuda11.0 \
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- libnvinfer-plugin7=7.1.3-1+cuda11.0
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- </code >
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</pre >
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#### Ubuntu 16.04 (CUDA 11.0)
@@ -139,29 +128,19 @@ complicates installation of the NVIDIA driver and is beyond the scope of these i
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<code class =" devsite-terminal " >sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub</code >
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<code class =" devsite-terminal " >sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/ /"</code >
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<code class =" devsite-terminal " >sudo apt-get update</code >
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- <code class =" devsite-terminal " >wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb</code >
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- <code class =" devsite-terminal " >sudo apt install ./nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb</code >
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- <code class =" devsite-terminal " >sudo apt-get update</code >
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- <code class =" devsite-terminal " >wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libnvinfer7_7.1.3-1+cuda11.0_amd64.deb</code >
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- <code class =" devsite-terminal " >sudo apt install ./libnvinfer7_7.1.3-1+cuda11.0_amd64.deb</code >
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- <code class =" devsite-terminal " >sudo apt-get update</code >
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# Install development and runtime libraries (~4GB)
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<code class =" devsite-terminal " >sudo apt-get install --no-install-recommends \
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- cuda-11-0 \
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- libcudnn8=8.0.4.30-1+cuda11.0 \
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- libcudnn8-dev=8.0.4.30-1+cuda11.0
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+ cuda-11-2 \
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+ libcudnn8=8.1.0.77-1+cuda11.2 \
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+ libcudnn8-dev=8.1.0.77-1+cuda11.2 \
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+ libnvinfer8=8.0.1-1+cuda11.3 \
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+ libnvinfer-dev=8.0.1-1+cuda11.3 \
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+ libnvinfer-plugin8=8.0.1-1+cuda11.3 \
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+ libnvinfer-plugin-dev=8.0.1-1+cuda11.3
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</code >
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# Reboot. Check that GPUs are visible using the command: nvidia-smi
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-
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- # Install TensorRT. Requires that libcudnn7 is installed above.
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- <code class =" devsite-terminal " >sudo apt-get install -y --no-install-recommends \
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- libnvinfer7=7.1.3-1+cuda11.0 \
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- libnvinfer-dev=7.1.3-1+cuda11.0 \
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- libnvinfer-plugin7=7.1.3-1+cuda11.0 \
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- libnvinfer-plugin-dev=7.1.3-1+cuda11.0
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- </code >
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</pre >
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