![]() Note: Replace X.X.X-X with the version number of the Base Installer package you downloaded. Sudo dpkg -i cuda-repo-ubuntu1604_X.X.X-X_b Run the following command to install the NVIDIA CUDA Toolkit:.Open a terminal and navigate to the directory where the Base Installer package was downloaded.Go to the NVIDIA CUDA Toolkit Download page and select your system configuration (Linux, x86_64, Ubuntu, 16.04, deb).To install the NVIDIA CUDA Toolkit, follow these steps: This toolkit provides the necessary drivers and libraries for using NVIDIA GPUs for computation. The first step is to install the NVIDIA CUDA Toolkit. To properly install TensorFlow-GPU and cuDNN on Ubuntu 16.04, follow these steps: Step 1: Install NVIDIA CUDA Toolkit However, the installation process can be tricky, especially on older versions of Ubuntu like 16.04. This error occurs because TensorFlow-GPU requires cuDNN to be installed and properly configured. When attempting to install TensorFlow-GPU and cuDNN on Ubuntu 16.04, you may encounter the following error message: ImportError: libcudnn.so.X: cannot open shared object file: No such file or directory cuDNN is a crucial component for deep learning on GPUs and can significantly improve performance. ![]() It provides highly optimized routines for convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other types of deep learning models. This allows for faster and more efficient computations, especially when dealing with large datasets.ĬuDNN, short for CUDA Deep Neural Network library, is a GPU-accelerated library of primitives for deep neural networks. It utilizes the power of graphics processing units (GPUs) to speed up the training process of machine learning models. TensorFlow-GPU is the GPU-enabled version of TensorFlow. What is TensorFlow-GPU and cuDNN?īefore we dive into the installation process, let’s briefly discuss what TensorFlow-GPU and cuDNN are and why they are important. In this article, we will explain how to properly install these essential tools on Ubuntu 16.04. However, when attempting to install TensorFlow- GPU and cuDNN on Ubuntu 16.04, you may encounter some issues. | Miscellaneous How to Properly Install TensorFlow-GPU and cuDNN on Ubuntu 16.04Īs a data scientist or software engineer, you know that TensorFlow is a powerful open-source software library for machine learning and artificial intelligence.
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