RomanSteinberg

# -*- coding: utf-8 -*-

import numpy as np
from glob import glob
import tensorflow.contrib.keras as K
from skimage.util import view_as_windows, pad

resnet = K.applications.resnet50
image = K.preprocessing.image

RomanSteinberg

def gpu_check():
    import os
    os.environ['CUDA_VISIBLE_DEVICES'] = '/device/gpu:0'
    import tensorflow as tf

    from datetime import datetime

    shape = (10, 10)
    device_name = "/gpu:0"
    with tf.device(device_name):

RomanSteinberg

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# import tensorflow as tf

import tensorflow as tf, numpy as np
from tensorflow import nn
from tensorflow import keras as ke
from tensorflow.examples.tutorials.mnist import input_data

RomanSteinberg

Introduction

I assume you make clean system install, no previous Nvidia installations. Other case, try the following steps on your own risk:

• sudo apt-get purge 'nvidia*'
• rm ~/.Xauthority

Pre-step

Switch off the PC, remove video card

RomanSteinberg

Borders for float features generated
0:	learn 70.50475406	test 40.44999897	bestTest 40.44999897		total: 47.1ms	remaining: 424ms
1:	learn 65.63694777	test 53.45852055	bestTest 40.44999897		total: 47.6ms	remaining: 191ms
2:	learn 57.7842572	test 100.5151111	bestTest 40.44999897		total: 48.1ms	remaining: 112ms
3:	learn 55.30496775	test 128.7490654	bestTest 40.44999897		total: 48.6ms	remaining: 72.8ms
4:	learn 52.89929452	test 136.0044652	bestTest 40.44999897		total: 49ms	remaining: 49ms
5:	learn 51.9437037	test 150.0426779	bestTest 40.44999897		total: 49.6ms	remaining: 33ms
6:	learn 51.70084336	test 158.4656055	bestTest 40.44999897		total: 50.1ms	remaining: 21.5ms
7:	learn 50.61418096	test 162.2118236	bestTest 40.44999897		total: 50.6ms	remaining: 12.6ms
8:	learn 50.49985141	test 165.7670929	bestTest 40.44999897		total: 51.1ms	remaining: 5.67ms

RomanSteinberg

import numpy as np
import pandas as pd
import scipy.stats as ss
import scipy

def get_bootstrap_samples(data, n_samples):
    indices = np.random.randint(0, len(data), (n_samples, len(data)))
    samples = data[indices]
    return samples