wooihaw

Install TensorFlow with CUDA on Ubuntu 24.04

This document provides a step-by-step guide to setting up a Python virtual environment and installing TensorFlow v2.18.1 with GPU support on a machine running Ubuntu 24.04 with a compatible NVIDIA GPU.

Using a virtual environment is highly recommended to isolate your project's dependencies and avoid conflicts with other Python projects on your system.

Prerequisites

To use TensorFlow with CUDA, you must have a compatible NVIDIA GPU and the correct software installed.

saumya66

#include <bits/stdc++.h>
using namespace std;
int main()
{
int n, q,i;
cin>>n>>q;
string temp;
vector<string> hrml;
vector<string> quer;
cin.ignore();

danijar

# Example for my blog post at:
# http://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
import functools
import sets
import tensorflow as tf


def lazy_property(function):
    attribute = '_' + function.__name__

thigm85

digraph G {

        rankdir=LR
	splines=line
        nodesep=.05;
        
        node [label=""];
        
        subgraph cluster_0 {
		color=white;