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@philwo
philwo / README.md
Created November 11, 2019 14:18
How to build TensorFlow 2.0 on Ubuntu 18.04 (x86_64) with Bazelisk

This is how I managed to build TensorFlow 2.0 on Ubuntu 18.04 (x86_64) with Bazelisk:

$ sudo apt update
$ sudo apt full-upgrade
$ sudo apt install curl

# Install Bazelisk.
$ sudo curl -Lo /usr/local/bin/bazel https://github.com/bazelbuild/bazelisk/releases/download/v1.1.0/bazelisk-linux-amd64
$ sudo chmod +x /usr/local/bin/bazel
@bogdan-kulynych
bogdan-kulynych / install-cuda-10-bionic.sh
Last active October 17, 2024 23:17
Install CUDA 10 on Ubuntu 18.04
# WARNING: These steps seem to not work anymore!
#!/bin/bash
# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"
# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
@Mahedi-61
Mahedi-61 / cuda_11.8_installation_on_Ubuntu_22.04
Last active March 13, 2025 06:31
Instructions for CUDA v11.8 and cuDNN 8.9.7 installation on Ubuntu 22.04 for PyTorch 2.1.2
#!/bin/bash
### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###
### to verify your gpu is cuda enable check
@datlife
datlife / mnist_tfdata.py
Last active May 24, 2023 02:03
Training Keras model with tf.data
"""An example of how to use tf.Dataset in Keras Model"""
import tensorflow as tf # only work from tensorflow==1.9.0-rc1 and after
_EPOCHS = 5
_NUM_CLASSES = 10
_BATCH_SIZE = 128
def training_pipeline():
# #############
# Load Dataset
'''Train MNIST with tfrecords yielded from a TF Dataset
In order to run this example you should first run 'mnist_to_tfrecord.py'
which will download MNIST data and serialize it into 3 tfrecords files
(train.tfrecords, validation.tfrecords, and test.tfrecords).
This example demonstrates the use of TF Datasets wrapped by a generator
function. The example currently only works with a fork of keras that accepts
`workers=0` as an argument to fit_generator, etc. Passing `workers=0` results
in the generator function being run on the main thread (without this various
@parse
parse / shell.c
Created May 11, 2011 07:31
Simple shell in C
/* Compile with: g++ -Wall –Werror -o shell shell.c */
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <ctype.h>
#include <unistd.h>
#include <sys/types.h>
#include <sys/wait.h>