I hereby claim:
- I am ktatar on github.
- I am ktatar (https://keybase.io/ktatar) on keybase.
- I have a public key ASAB_PLywpJc6WP9Z0AT09kaLBoKN9sxyLj6BbvAEsePfgo
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
import tensorflow as tf | |
# Create some tensors | |
a = tf.constant([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]) | |
b = tf.constant([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]) | |
c = tf.matmul(a, b) | |
print(c) | |
text_file = open("Output.txt", "w") | |
text_file.write("Hello World, my num is %s" % c) |
This guide works with tensorflow-gpu=2.0.0 and CUDA 10.0.130 and CuDNN 7.6.4
Install anaconda for python 3
Install CUDA 10.0 for Windows 64bit using network
Use Anaconda Command prompt
Create a python3 environment on Anaconda and activate the environment
Install tensorflow-gpu using
conda install tensorflow-gpu
Test if tensorflow is running
#!/bin/bash | |
#install hfsprogs if you don't have it | |
sudo apt-get install hfsprogs | |
#check the status of the drive | |
sudo fsck.hfsplus -f /dev/sdb2 | |
#Mount the drive | |
sudo umount /media/tatar/MetaMusical | |
sudo mount -t hfsplus -o force,rw /dev/sdb2 /media/tatar/MetaMusical | |
sudo mount -t hfsplus -o remount,force,rw /dev/sdb2 /media/tatar/MetaMusical |
import numpy as np | |
from scipy import interpolate | |
#Create target array. We are trying to match the size of this array | |
my_cqt = np.linspace(2.0,3.0, num=20) | |
#The array to be stretched | |
my_alfa = np.linspace(0., 1., num=10) | |
f = interpolate.interp1d(np.arange(0, len(my_alfa)), my_alfa) |
I am attesting that this GitHub handle ktatar is linked to the Tezos account tz1cgMGNVeL22kVboXsZoch9d669QihjvSXW for tzprofiles | |
sig:edsigtcCAjkPiTZxitiL85wY4XWfm15xMUsDnnAKvN1G3v1bKit6gdwwzUnYZf4Y2UpuBUirGe1AQaiPbcnRcdHGBfZnip2YccX |
NOTE: Pytorch3d no longer has to be compiled i have stripped out the function we use to make this a lot easier and also so we do not have to use WSL2 with linux and can now run directly on your windows system.
Comments section is not checked often for issues please join the disco diffusion discord for assistance
You may now use the official disco diffusion notebook with this tutorial as it has been uodated to reflect the changes here for better cross platform support