Add options nvidia "NVreg_RestrictProfilingToAdminUsers=0" to /etc/modprobe.d/nfįor some reason tensorflow 2 tries to run ptxas based on a relative path, and not from the system path.(Source: tensorflow/tensorflow#35860 (comment)) First lets install Jupyter Notebooks: conda install -y jupyter Then we will create a. Activate new environment: conda activate ENV_NAME_HEREĮxtra Fix for error CUPTI_ERROR_INSUFFICIENT_PRIVILEGES Once installed with default options, open the Anaconda Prompt from the applications menu in Windows 10.v1: conda create -name ENV_NAME_HERE tensorflow-gpu=1.15.v2: conda create -name ENV_NAME_HERE tensorflow-gpu.Create conda environment with tensorflow-gpu support:.conda deactivate conda activate tf Make sure it is activated for the rest of the installation. conda create -name tf python3.9 You can deactivate and activate it with the following commands. Execute the bash installer from the terminal (it is just a bash script): bash Miniconda3-p圓94.9.2-Linux-x8664.sh. osx-arm64v4.1.3 linux-64v4.1.3 win-32v2.0.0 osx-64v4.1.3 win-64v4.1. Create a conda environment Create a new conda environment named tf with the following command. This is just the Python version of the (base) environment, the one that conda uses internally, but not the version of the Python of your virtual environments (you can choose the version you want). Install it: bash Miniconda3-latest-Linux-x86_64.sh Info:This package contains files in non-standard labels.
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