mohapatras

VMware Workstation Pro 16.x Serials

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UC3XK-8DD1J-089NP-MYPXT-QGU80
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AY1XK-0NG5P-0855Y-K6ZXG-YK0T4

VMware Workstation Player 16.x Serials

mohapatras

import numpy as np
from sklearn.metrics import roc_curve

def sensivity_specifity_cutoff(y_true, y_score):
    '''Find data-driven cut-off for classification
    
    Cut-off is determied using Youden's index defined as sensitivity + specificity - 1.
    
    Parameters
    ----------

mohapatras

I had many driver installed I my virtual machine , so It was actually the reason why I was having the error.

To fix it I had first to remove all driver I have installed before using :

• sudo apt-get purge nvidia-*
• sudo apt-get update -sudo apt-get autoremove

After that I when a head and installed the latest version of it nvidia driver:

I did :

mohapatras

Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

• NVIDIA graphics card driver (v450.57)
• CUDA (v11.0.2)
• cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

mohapatras

To check nvidia driver

modinfo nvidia

To check cuda version

cat /usr/local/cuda/version.txt

mohapatras

$ ls -l /usr/local/cuda-10.1/lib64/libcurand*
lrwxrwxrwx 1 root root       15 Aug 22 02:49 /usr/local/cuda-10.1/lib64/libcurand.so -> libcurand.so.10
lrwxrwxrwx 1 root root       21 Aug 22 02:49 /usr/local/cuda-10.1/lib64/libcurand.so.10 -> libcurand.so.10.1.168
-rwxr-xr-x 1 root root 59812280 Aug 22 02:49 /usr/local/cuda-10.1/lib64/libcurand.so.10.1.168
-rw-r--r-- 1 root root 59842274 Aug 22 02:49 /usr/local/cuda-10.1/lib64/libcurand_static.a
$ echo $LD_LIBRARY_PATH
/usr/local/cuda-10.1/lib64:

mohapatras

# Create a new repository on the command line
 
touch README.md
git init
git add README.md
git commit -m "first commit"
git remote add origin https://github.com/mohapatras/python.git
git push -u origin master
 
# Push an existing repository from the command line

mohapatras

def partition(A, start, end):

    pivot = A[end] 
    pIndex = start 

    for i in range(start, len(A)):
        if A[i] < pivot:
            A[i], A[pIndex] = A[pIndex], A[i]
            pIndex += 1
    A[pIndex], A[end] = A[end], A[pIndex]

mohapatras

# keras example imports
from keras.models import load_model
 
## extra imports to set GPU options
import tensorflow as tf
from keras import backend as k
 
###################################
# TensorFlow wizardry
config = tf.ConfigProto()

mohapatras

import numpy as np
import warnings
import os
import tensorflow as tf

from keras.layers import Input
from keras import layers
from keras.layers import Dense
from keras.layers import Activation
from keras.layers import Flatten