galeone

Keybase proof

I hereby claim:

• I am galeone on github.
• I am nessuno (https://keybase.io/nessuno) on keybase.
• I have a public key whose fingerprint is 72EF B984 8764 F75F 26F1 A853 C989 A5CF 984D 4E43

To claim this, I am signing this object:

galeone

#!/usr/bin/env bash

find . -name '*.py' -exec grep "tf.image_summary" {} -H \; | cut -d':' -f1 | xargs -l sed -i 's/tf\.image_summary/tf.summary.image/g'
find . -name '*.py' -exec grep "tf.audio_summary" {} -H \; | cut -d':' -f1 | xargs -l sed -i 's/tf\.audio_summary/tf.summary.audio/g'
find . -name '*.py' -exec grep "tf.histogram_summary" {} -H \; | cut -d':' -f1 | xargs -l sed -i 's/tf\.histogram_summary/tf.summary.histogram/g'
find . -name '*.py' -exec grep "max_images" {} -H \; | cut -d':' -f1 | xargs -l sed -i 's/max_images/max_outputs/g'
find . -name '*.py' -exec grep "tf.merge_summary" {} -H \; | cut -d':' -f1 | xargs -l sed -i 's/tf\.merge_summary/tf.summary.merge/g'
find . -name '*.py' -exec grep "tf.scalar_summary" {} -H \; | cut -d':' -f1 | xargs -l sed -i 's/tf\.scalar_summary/tf.summary.scalar/g'
find . -name '*.py' -exec grep "tf.initialize_all_variables" {} -H \; | cut -d':' -f1 | xargs -l sed -i 's/tf\.initialize_all_variables/tf.global_variables_initializer/g'
find . -name '*.py' -exec grep 

galeone

import matplotlib.pyplot as plt
from scipy.stats import binom
import numpy as np

# number of neurons
n = 1024
# number of tests (input examples)
size = 500
# histogram bin width, for data visualization
binwidth = 5

galeone

pkgname="opencv-cuda-stable"
_pkgname="opencv-stable"
pkgver=3.4.1
pkgrel=1
pkgdesc="Open Source Computer Vision Library compiled with extra modules(opencv_contrib) and CUDA"
url="http://opencv.org/"
license=('BSD')
arch=('i686' 'x86_64' 'armv7h' 'armv6h')
depends=('gst-plugins-base' 'openexr'
         'xine-lib' 'libdc1394' 'gtkglext'

galeone

# import tensorflow
import tensorflow as tf
# import the utils file in the current folder
from . import utils
# from the Autoencoder file import the interface to implement
from .Autoencoder import Autoencoder

class SingleLayerCAE(Autoencoder):
    """ Build a single layer CAE"""

galeone

package main                                        

import (                                            
        "fmt"                                       
        tf "github.com/tensorflow/tensorflow/tensorflow/go"                                              
        "github.com/tensorflow/tensorflow/tensorflow/go/op"                                              
)                                                   

func main() {                                       
        // Let's describe what we want: create the graph                                                 

galeone

--- a/Engine/Source/Programs/UnrealBuildTool/Configuration/ModuleRules.cs
+++ b/Engine/Source/Programs/UnrealBuildTool/Configuration/ModuleRules.cs
@@ -606,6 +606,10 @@ namespace UnrealBuildTool
 		{
 			get
 			{
+				if (bCodeCoverage) {
+					return CodeOptimization.Never;
+				}
+