arafatkatze

# Specify the operations of tensorflow model
feeds_output = saved_model.graph.operation('CAPTCHA/input_image_as_bytes')
fetches = saved_model.graph.operation('CAPTCHA/prediction')

# Run the Model
feeds_tensor_to_output_hash = {feeds_output.output(0) => feeds_tensor}
out_tensor = saved_model.session.run(feeds_tensor_to_output_hash, [fetches.output(0)], [])

#Print the results
puts out_tensor

arafatkatze

require 'tensorflow'
# Loading Saved Model
saved_model = Tensorflow::Savedmodel.new
saved_model.LoadSavedModel(Dir.pwd + '/break-captcha-protobuf', ['serve'], nil)

# Read the image file and specify the image contents in a Tensor
image_file = File.new(Dir.pwd + '/break-captcha-protobuf/captcha-1.png', "r")
feeds_tensor = Tensorflow::Tensor.new(image_file.read)

arafatkatze

package main

import "github.com/Arafatk/glot"

func main() {
	dimensions := 2
	// The dimensions supported by the plot
	persist := false
	debug := false
	plot, _ := glot.NewPlot(dimensions, persist, debug)

arafatkatze

package main

import "github.com/Arafatk/glot"

func main() {
	dimensions := 2
	// The dimensions supported by the plot
	persist := false
	debug := false
	plot, _ := glot.NewPlot(dimensions, persist, debug)

arafatkatze

from __future__ import print_function

import tensorflow as tf
FLAGS = None
a = tf.constant([[2, 3],[4,1]])
b = tf.constant([[5, 6],[1,3]])
d = tf.constant([[0, 4],[9,8]])
with tf.Session() as sess:
    c = sess.run(a+b)

arafatkatze

require 'tensorflow'
graph = Tensorflow::Graph2.new
tensor_1 = Tensorflow::Tensor.new([2,3,4,6])
tensor_2 = Tensorflow::Tensor.new([2,3,4,6])
const_1 = graph.const("m1", tensor_1)
const_2 = graph.const("m2", tensor_2)
opec = Tensorflow::OpSpec.new
opec.name = "Additionofconstants"
opec.type = "Add"
opec.input = [const_1, const_2]

arafatkatze

node {
  name: "m1"
  op: "Const"
  attr {
    key: "_class"
    value {
      list {
      }
    }
  }

arafatkatze

# chmod +x cloneConvertProto.sh
printf "\033c"
echo "Fetching latest protobuf from Apple"
git clone https://github.com/apple/swift-protobuf.git
cd swift-protobuf
swift build
cp .build/debug/protoc-gen-swift ./
cd ..

printf "\033c"

arafatkatze

import tensorflow as tf

def test1():
  input1 = tf.placeholder(tf.float32, [2,3])
  input2 = tf.placeholder(tf.float32, [2,3])
  output = tf.add(input1, input2)
 
  with tf.Session() as sess:
    (sess.run([output], feed_dict={input1:[[1.0,3.0, 5.0],[2.0,4.0, 7.0]], input2:[[-5.0,1.2,4.5],[8.0,2.3, 3.1]]}))
    

arafatkatze

#include <bits/stdc++.h>
using namespace std;
#define inf                         INFINITY
/* 
   const clock_t begin_time = clock();
   // do something
   cout << float( clock () - begin_time ) /  CLOCKS_PER_SEC;

   Read from a file
   freopen("input.in","r",stdin);