Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import librosa | |
import pandas as pd | |
import numpy as np | |
import matplotlib.pyplot as plt | |
%matplotlib inline | |
import os | |
import csv | |
# Preprocessing | |
from sklearn.model_selection import train_test_split | |
from sklearn.preprocessing import LabelEncoder, StandardScaler |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# 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 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/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 |