Installing the GPU version of Tensorflow with Docker on Arch Linux
I’ve tried installing the GPU version of Tensorflow a few times before and failed. There seems to be lots of confusion about the build process, of which there are many. Also, over the last few years there have been many new versions of the software needed to support the GPU version of Tensorflow as well as the first official release of Tensorflow itself (which is now on version 1.4), such as CUDA and cudnn, and different version of python. This is one more attempt at installing the GPU version of Tensor Flow on my Desktop PC that is currently dual booting with Arch Linux and Windows 10. I’ve decided to try going the docker route because it should eliminate some of the headache of missing depedencies. Here are the specs for my computer:
- i7-6700K
- NVIDIA GTX 1080
- Asus Hero VIII motherboard
- Arch Linux on a 128 GB SSD (Windows 10 is installed on a separate SSD)
Installing CUDA and cudnn
We don’t need to install these when installing Tensorflow with Docker. Read to the bottom for more info.
Installing Docker
To install docker on our machine, let’s start with the Arch Wiki article on docker.
We need to add the Loopback module to the Linux Kernel, so we run:
# tee /etc/modules-load.d/loop.conf <<< "loop"
# modprobe loop
$ reboot
Ater rebooting we can install docker:
yaourt -S docker
Now we want to add ourself to the docker group with the following command:
$ sudo gpasswd -a brian docker
[sudo] password for brian:
Adding user brian to group docker
If you run groups
, you won’t see docker listed in the groups you (brian) belong to. Run newgrp docker
and then re-run docker and you should see docker
listed with any other groups you belong to:
[brian@a1arch ~]$ groups
wheel storage power users
[brian@a1arch ~]$ newgrp docker
-` brian@a1arch
.o+` ------------
`ooo/ OS: Arch Linux x86_64
`+oooo: Kernel: 4.12.8-2-ARCH
`+oooooo: Uptime: 6 mins
-+oooooo+: Packages: 1127
`/:-:++oooo+: Shell: bash 4.4.12
`/++++/+++++++: Resolution: 1920x1080
`/++++++++++++++: WM: i3
`/+++ooooooooooooo/` Theme: Adwaita [GTK2]
./ooosssso++osssssso+` Icons: Adwaita [GTK2]
.oossssso-````/ossssss+` Terminal: urxvt
-osssssso. :ssssssso. Terminal Font: Inconsolata-12
:osssssss/ osssso+++. CPU: Intel i7-6700K (8) @ 4.200GHz
/ossssssss/ +ssssooo/- GPU: NVIDIA GeForce GTX 1080
`/ossssso+/:- -:/+osssso+- Memory: 3289MiB / 15975MiB
`+sso+:-` `.-/+oso:
`++:. `-/+/
.` `/
[brian@a1arch ~]$ groups
docker wheel storage power users
Doing this prevents us from having to write sudo each time we run docker.
Next we need to start the docker daemon.
$ systemctl start docker
==== AUTHENTICATING FOR org.freedesktop.systemd1.manage-units ====
Authentication is required to start 'docker.service'.
Authenticating as: brian
Password:
==== AUTHENTICATION COMPLETE ====
$
Side note
There seems to be an Arch Linux-specific bug which prevents us from enabling docker (and nvidia-docker which we will get next). There is a solution to downgrade to an older version of docker, or you can just start the docker service and the nvidia-docker service when you want to use them. I have found it faster to first start nvidia-docker and then start docker services.
So far so good. Next let’s look at the Tensorflow documentation for installing Tensorflow with docker.
We need to install nvidia-docker
:
$ yaourt -S nvidia-docker
[...]
[sudo] password for brian:
loading packages...
resolving dependencies...
looking for conflicting packages...
Packages (1) nvidia-docker-1.0.1-1
Total Installed Size: 13.34 MiB
:: Proceed with installation? [Y/n]
(1/1) checking keys in keyring [##################################] 100%
(1/1) checking package integrity [##################################] 100%
(1/1) loading package files [##################################] 100%
(1/1) checking for file conflicts [##################################] 100%
(1/1) checking available disk space [##################################] 100%
:: Processing package changes...
(1/1) installing nvidia-docker [##################################] 100%
=> Prior to running 'CUDA'-containers, ensure that the nvidia-docker-plugin
is loaded. -> https://github.com/NVIDIA/nvidia-docker#other-distributions
*) manually; sudo -b nohup nvidia-docker-plugin > /tmp/nvidia-docker.log
*) automatically at startup; systemctl enable nvidia-docker.service
Optional dependencies for nvidia-docker
cuda [installed]
nvidia [installed]
opencl-nvidia [installed]
:: Running post-transaction hooks...
(1/1) Arming ConditionNeedsUpdate...
Next it says: Launch a Docker container that contains one of the TensorFlow binary images. Those images are available here.

Authenticating as: brian
Password:
==== AUTHENTICATION COMPLETE ====
$
OK, we should be ready to launch the image:
$ nvidia-docker run -it tensorflow/tensorflow:latest-gpu bash
root@761a62c1cff1:/notebooks#
This is looking good. Let’s try to start python:
root@761a62c1cff1:/notebooks# python
Python 2.7.12 (default, Nov 19 2016, 06:48:10)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>>
That works! Let’s try out the classic MNIST hand-written digit classification problem that comes packaged as a notebook with the container image:
$ nvidia-docker run -it -p 8888:8888 tensorflow/tensorflow:latest-gpu
[sudo] password for brian:
[I 21:54:26.671 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
[W 21:54:26.689 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[I 21:54:26.693 NotebookApp] Serving notebooks from local directory: /notebooks
[I 21:54:26.693 NotebookApp] 0 active kernels
[I 21:54:26.693 NotebookApp] The Jupyter Notebook is running at:
[I 21:54:26.693 NotebookApp] http://[all ip addresses on your system]:8888/?token=cda89aff96a3d4a9741cc755aac07f65f3aa372f60a198bd
[I 21:54:26.693 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 21:54:26.693 NotebookApp]
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://localhost:8888/?token=cda89aff96a3d4a9741cc755aac07f65f3aa372f60a198bd
[I 21:54:34.489 NotebookApp] 302 GET /?token=cda89aff96a3d4a9741cc755aac07f65f3aa372f60a198bd (<IP_ADDRESS>) 0.32ms
[I 21:54:59.019 NotebookApp] Writing notebook-signing key to /root/.local/share/jupyter/notebook_secret
[W 21:54:59.023 NotebookApp] Notebook 3_mnist_from_scratch.ipynb is not trusted
[W 21:54:59.049 NotebookApp] 404 GET /nbextensions/widgets/notebook/js/extension.js?v=20171119215426 (<IP_ADDRESS>) 4.38ms referer=http://localhost:8888/notebooks/3_mnist_from_scratch.ipynb
[I 21:54:59.813 NotebookApp] Kernel started: 00027a3e-59ae-47ce-90a5-752a9d1fe075
[I 21:55:00.199 NotebookApp] Adapting to protocol v5.1 for kernel 00027a3e-59ae-47ce-90a5-752a9d1fe075
[I 21:56:59.815 NotebookApp] Saving file at /3_mnist_from_scratch.ipynb
[W 21:56:59.816 NotebookApp] Notebook 3_mnist_from_scratch.ipynb is not trusted
2017-11-19 21:57:03.988627: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2017-11-19 21:57:04.070873: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2017-11-19 21:57:04.071129: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties:
name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate(GHz): 1.7335
pciBusID: 0000:01:00.0
totalMemory: 7.92GiB freeMemory: 7.44GiB
2017-11-19 21:57:04.071143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0, compute capability: 6.1)
I was only able to get the entire notebook to run after making a few small configuration tweaks to the tensorflow Interactive Session to fix some memory issues:
gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.75)
s = tf.InteractiveSession(config=tf.ConfigProto(gpu_options=gpu_options))
# Use our newly created session as the default for
# subsequent operations.
s.as_default()
# Initialize all the variables we defined above.
tf.global_variables_initializer().run()
Without setting gpu_options
, Tensorflow allocates 95% of available GPU memory (according to this SO question).
Setting it to 0.333
was too low and didn’t allow for training to complete, but setting it to 0.75
seemed to work just fine.
You can monitor GPU memory usage on NVIDIA cards with the following command:
$ nvidia-smi
Sun Nov 19 17:03:03 2017
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.59 Driver Version: 384.59 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1080 Off | 00000000:01:00.0 On | N/A |
| 27% 32C P8 10W / 180W | 6707MiB / 8105MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 350 C /usr/bin/python 6365MiB |
| 0 554 G /usr/lib/xorg-server/Xorg 19MiB |
| 0 588 G /usr/bin/gnome-shell 28MiB |
| 0 853 G /usr/lib/xorg-server/Xorg 186MiB |
| 0 873 G compton 2MiB |
| 0 1114 G ...el-token=A50C2F183DB4F79482A2D8768ED1B285 64MiB |
| 0 2190 G ...el-token=1AC796A35DBDCDBE07AEC2FC1E8026C4 35MiB |
+-----------------------------------------------------------------------------+
I think this was a success! I’m fairly certain that we were leveraging the GPU to run the MNIST hand-written digit notebook. I didn’t see messages that CUDNN loaded, but I can find versions of both CUDNN and CUDA in the docker image:
root@80f65a971e9a:/# ls /usr/include/x86_64-linux-gnu/
a.out.h bits cudnn_v6.h fpu_control.h gnu python2.7
asm c++ expat_config.h freetype2 ieee754.h sys
root@80f65a971e9a:/# nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2016 NVIDIA Corporation
Built on Tue_Jan_10_13:22:03_CST_2017
Cuda compilation tools, release 8.0, V8.0.61
In previous attempts I had to register for an NVIDIA developer account and install these packages, but they seem to be packaged with the container.
Finally, we can check the installed python packages:
root@80f65a971e9a:~# pip freeze | grep tensorflow
tensorflow-gpu==1.4.0
tensorflow-tensorboard==0.4.0rc2
root@80f65a971e9a:~#
This looks good, but I’m still not 100% sure that everything was done properly. I would like to learn more about Tensorflow and also play around with some examples using Tensorboard. Let me know if you have any questions or comments about this setup, I’m still learning! Thanks for reading.
Just for fun, here’s a DeepDream rendering of a famous Donald Trump picture using Google’s pre-trained Inception model:
For comparison, here is the original image:


Single
Feed
Single Simulation
S
+
Content details
Feed Simulation
Create
Simulation1
Toggle Dropdown Menu
Edit
Delete
Simulation2
Toggle Dropdown Menu
Edit
Delete


| DOSE: |
2 tablets |
oral |
MDMA |
(pill / tablet) |
| |
8 lines |
insufflated |
Cocaine |
(powder / crystals) |
Well, it started as a regular night hanging with some friends. My one friend had some extra cash, and she suggested buying some ecstasy. The 2 males I was with decided to purchase some cocaine. Once we had received the goods, we went to the one guys apartment. Me and my friend each popped our pills, and by midnight we were starting to feel good...a little too good. We were feeling so good, that we were willing to do anything and everything to feel even better than we did at that moment.
That's when the other 2 suggested that me and her try a line of coke to enhance the high. Now I don't know if this is with everybody who combines E and coke, but I found that within 5 minutes of doing my first line I was coming down off the e, and the cocaine was taking over. And maybe it was the combination of the two drugs, but I didn't think the coke was doing much at all. It felt like I had the comedown of the E, mixed with an odd feeling of the coke. It wasn't a bad feeling, but it wasn't the best feeling, either.
So I thought to myself that maybe I just needed a few more lines to feel the high my friends were feeling. So they prepared me more, and over the course of the night I had approximately 8 lines of cocaine. About an hour after the 8th line the most terrible feeling washed over me. My heart was beating uncontrollably, I was sweating everywhere and I couldn't keep still. I kept fidgeting in my chair. Then the paranoia set in because I knew this feeling wasn't normal, and I had it in my head that I was overdosing. I'm sure some food would have aided me at that point, but the mere idea of eating anything was making me ill. I didn't even experience any of the happy moments or euphoria that everyone else talks about. It was pretty much snorting, then straight to the shitty feeling. There was no middleman.
I got home at around 4am, and I had to work at 11. Those seven hours before work were Hell. I couldn't sleep. I couldn't eat. I couldn't even focus my eyes without them rolling backwards. But, it was my own damn fault, so i went to work refusing to leave them hanging over my own stupidity. This is where I took a turn for the worse. I couldn't stand in one spot for more than about a minute. I couldn't concentrate on anything the customers were saying to me, and I made several errors on the cash register. I even had to go to the back and just rest my head because I was literally going to black out. I just passed it off to my boss that I was coming down with the flu, so she let me rest periodically in the back.
 I don't think it was possible for a human to feel worse than I did following that night. Maybe it was the combination of the two, but I don't care. And I'm actually grateful that I had a bad experience on it, because now I know that I've tried it, but won't ever again.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


This is a game to destroy the blocks by shooting bomb with cannons.
User can play the game in first person view.
User can challenge each stage and move on to the next stage.
1. Press the START button.
2. When you click the screen, the bomb will fly from the center of the screen.
3. You have to hit some specific boxes to clear.
4. The number of balls is limited.
5. If you click the mouse for a while, then the speed of the ball will increase and make you to clear the game easily.
6. Press esc button to to exit the game.
Enjoy the game :)


{% if request.user.is_authenticated %} Welcome, {{ request.user.first_name }} to pulley web compiler... {% else %} Welcome, to pulley web compiler.. {% endif %}
{{ request.user.first_name }} {{ request.user.last_name }}
DeveloperSignUp
This feature will be enabled after final release you can only use the main compiler, where you can code, give manual input and get the output.
Login
Login With provided User id's only{% if error %} It's seems like you don't have credentials provided by team PWS
contact team at<EMAIL_ADDRESS>{% endif %}


UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>How to create a vApp network
Overview
In addition to virtual data center (VDC) networking, you can create individual vApp networks to have even greater control over your network infrastructure.
vApp networks enable you to create smaller networks within individual vApps that have a vApp edge, similar to the edge gateway on your VDC. Although a vApp edge isn't as feature rich as a VDC edge, it enables you to create firewall and NAT rules to separate your VDC networks from your vApp virtual machines (VMs). This means you can create some quite complex networks to satisfy application needs.
The vApp network diagram below shows the vApp edge.
Creating a vApp network
Note
As you're going to be changing network settings, all VMs within the vApp must be powered off.
In the VMware Cloud Director Virtual Data Center dashboard, select the VDC that contains the vApp.
In the left navigation panel, select vApps.
In the card for the vApp, select Actions, then Add Network.
In the Add Network dialog box, select vApp Network.
Enter a Name and Description for the network.
In the Address and DNS section, fill out the fields as required for your network.
When you're done, click Add.
Connecting a VM to a vApp network
If your vApp is already populated with VMs that are connected to a VDC network, you may want to move them over to the vApp network.
To change the network a VM connects to:
In the card for the vApp, select Details.
Select Virtual Machines.
For each VM
a. Click the VM to edit the VM properties.
b. Under Hardware, select NICs.
c. Click Edit.
d. In the Edit NICs dialog box, from the Network list, select the vApp network.
If you want to dual-home your VM, click New to add a second network.
When you're done, click Save.
You can go back to the VM hardware properties to see the new IP address assigned to the VM.
Viewing and adjusting vApp network settings
When you've created your vApp network and assigned VMs to it, you may want to review the vApp network settings and adjust them if needed.
In the left navigation panel, select vApps.
In the card for the vApp, select Details.
Select Networks.
Click your vApp network to view its network settings.
The General page displays general network settings. Click Edit to adjust these settings.
The IP Management pages display the IP settings for the vApp network, including Static Pools, DNS and DHCP. Click Edit on these pages to adjust these settings.
For more information about enabling DHCP for your vApp network, see Enabling DHCP.
On the Services page you can set up firewall and NAT rules for your vApp network. For more information, see Creating firewall rules and Creating NAT rules.
On the Routing page you can create static routes for your vApp network. For more information, see Creating static routes.
Enabling DHCP
DHCP isn't enabled by default. For more information about DHCP, see How to create a DHCP pool.
To enable DHCP:
In the left navigation panel, select vApps.
In the card for the vApp, select Details.
Select Networks.
Click your vApp network to view its network settings.
Under IP Management, select DHCP.
Click Edit.
In the Edit network dialog box, select the Enabled option.
Enter IP Pool and lease information for your DHCP addresses then click Save.
Creating firewall rules
There will be a rule in place to allow any traffic to traverse the firewall. You can amend or delete this rule, or create new rules.
For more about firewall rules, see How to create firewall rules.
To create a firewall rule:
In the left navigation panel, select vApps.
In the card for the vApp, select Details.
Select Networks.
Click your vApp network to view its network settings.
Select Services.
Click Edit.
On the Firewall tab, click Add, specify the details for the firewall rule then click Save.
Creating NAT rules
NAT rules, enabled by default, enable mapping between internal VM interfaces and external IP addresses.
For more information about NAT rules, see How to create NAT rules.
To edit the NAT rules for a VM:
In the left navigation panel, select vApps.
In the card for the vApp, select Details.
Select Networks.
Click your vApp network to view its network settings.
Select Services.
Click Edit.
Select the NAT tab.
From the NAT Type list, select IP Translation, then click Add.
In the VM Interface field, click the edit (pencil) icon, then select the VM interface for which you want to add the NAT rule, then click Keep.
From the Mapping Mode list, select the mapping mode.
The default mapping is Automatic. You can change this to Manual, in which case, enter an External IP address to which the VM can map.
When you're done, click Save.
The external IP address will be on the same subnet as the VDC network that connects to the vApp edge.
Creating static routes
Static routing at the vApp network level allows traffic to route between different vApp networks, across the VDC networks.
The prerequisites for static routing are as follows:
Static routing must be enabled for the VDC network you're connecting to (see How to create a static route).
The two vApp networks must be routed to the same VDC network.
The vApp networks must be in vApps that have been started at least once.
To add a static route:
In the left navigation panel, select vApps.
In the card for the vApp, select Details.
Select Networks.
Click the first vApp network to view its network settings.
Select Routing.
Click Edit.
In the Edit Static Routing Service dialog box, select the Enable Static Routing option then click Save.
Click Add.
In the Add Static Route dialog box, enter a Name for the static route.
Enter the following details:
Network CIDR - The address of the first vApp network to which you're adding a static route
Next Hop IP - The external IP address of that vApp network's router
When you're done, click Save.
Repeat for the second vApp network.
Examples
The tables below provides examples of the settings needed to create a static route between two vApps.
Network information
| Network name | Network specification | Router external IP address |
|---|---|---|
| vApp network 1 | <IP_ADDRESS>/24 |
<IP_ADDRESS> |
| vApp network 2 | <IP_ADDRESS>/24 |
<IP_ADDRESS> |
| VDC network shared | <IP_ADDRESS>/24 |
N/A |
Static routing settings
| Static route to network | Route name | Network | Next hop IP address |
|---|---|---|---|
| vApp network 1 | To-vapp1 | <IP_ADDRESS>/24 |
<IP_ADDRESS> |
| vApp network 2 | To-vapp2 | <IP_ADDRESS>/24 |
<IP_ADDRESS> |
Note
Make sure your firewall rules allow traffic on the static routes.
Related articles
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


list of five african countries in the world
- Ghana
- South Africe
- Nigeria
-
Tunisia
show more
view table.html for more information
css selectors....
view video
Popular fruits found in Ghanaian markets
-
Orange
-
Banana
- Apples
- Pineapple
four Countries with more than five states - with their states
- United states
- New York
- California
- Texas
- Rhode Island
- Hawaii
-
Nigeria
types of css inclusion into a website
- Internal css
- External css
- Inline css
Types of css selectors
- Type selector
- class selector
- id selector (research on this)
- change the list style of the ul element disc


naive user
`Prev `__
N
`Next `__
--------------
**naive user**: n.
A `*luser* <../L/luser.html>`__. Tends to imply someone who is ignorant
mainly owing to inexperience. When this is applied to someone who *has*
experience, there is a definite implication of stupidity.
--------------
+--------------------------+----------------------------+------------------------+
| `Prev `__ | `Up <../N.html>`__ | `Next `__ |
+--------------------------+----------------------------+------------------------+
| naive | `Home <../index.html>`__ | NAK |
+--------------------------+----------------------------+------------------------+


{% extends "home-base.html"%} {% block title %}Team Assignment 1: Members Page{% endblock %} {% block head%} {{super()}} {% endblock %} {% block page_content%}


{% extends "layout.html" %} {% block body_content %}
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By providing personal information to us, you consent to us collecting, holding, using and disclosing your personal information in accordance with this privacy policy. If you are under 16 years of age, you must have, and warrant to the extent permitted by law to us, that you have your parent or legal guardian’s permission to access and use the website and they (your parents or guardian) have consented to you providing us with your personal information. You do not have to provide personal information to us, however, if you do not, it may affect your use of this website or the products and/or services offered on or through it.
Information from third parties: If we receive personal information about you from a third party, we will protect it as set out in this privacy policy. If you are a third party providing personal information about somebody else, you represent and warrant that you have such person’s consent to provide the personal information to us.
You may choose to restrict the collection or use of your personal information. If you have previously agreed to us using your personal information for direct marketing purposes, you may change your mind at any time by contacting us using the details below. If you ask us to restrict or limit how we process your personal information, we will let you know how the restriction affects your use of our website or products and services.
Access and data portability: You may request details of the personal information that we hold about you. You may request a copy of the personal information we hold about you. Where possible, we will provide this information in CSV format or other easily readable machine format. You may request that we erase the personal information we hold about you at any time. You may also request that we transfer this personal information to another third party.
If you believe that any information we hold about you is inaccurate, out of date, incomplete, irrelevant or misleading, please contact us using the details below. We will take reasonable steps to correct any information found to be inaccurate, incomplete, misleading or out of date.
Notification of data breaches: We will comply laws applicable to us in respect of any data breach.
If you believe that we have breached a relevant data protection law and wish to make a complaint, please contact us using the details below and provide us with full details of the alleged breach. We will promptly investigate your complaint and respond to you, in writing, setting out the outcome of our investigation and the steps we will take to deal with your complaint. You also have the right to contact a regulatory body or data protection authority in relation to your complaint.
To unsubscribe from our e-mail database or opt-out of communications (including marketing communications), please contact us using the details below or opt-out using the opt-out facilities provided in the communication.
We use “cookies” to collect information about you and your activity across our site. A cookie is a small piece of data that our website stores on your computer, and accesses each time you visit, so we can understand how you use our site. This helps us serve you content based on preferences you have specified. Please refer to our Cookie Policy for more information.
If we or our assets are acquired, or in the unlikely event that we go out of business or enter bankruptcy, we would include data among the assets transferred to any parties who acquire us. You acknowledge that such transfers may occur, and that any parties who acquire us may continue to use your personal information according to this policy.
Our website may link to external sites that are not operated by us. Please be aware that we have no control over the content and policies of those sites, and cannot accept responsibility or liability for their respective privacy practices.
At our discretion, we may change our privacy policy to reflect current acceptable practices. We will take reasonable steps to let users know about changes via our website. Your continued use of this site after any changes to this policy will be regarded as acceptance of our practices around privacy and personal information.
If we make a significant change to this privacy policy, for example changing a lawful basis on which we process your personal information, we will ask you to re-consent to the amended privacy policy.
This policy is effective as of 01 November 2018.
We use cookies to help improve your experience of This cookie policy is part of Pasted's privacy policy, and covers the use of cookies between your device and our site. We also provide basic information on third-party services we may use, who may also use cookies as part of their service, though they are not covered by our policy.
If you don't wish to accept cookies from us, you should instruct your browser to refuse cookies from pasted.tech with the understanding that we may be unable to provide you with some of your desired content, services, or features.
A cookie is a small piece of data that a website stores on your device when you visit, typically containing information about the website itself, a unique identifier that allows the site to recognise your web browser when you return, additional data that serves the purpose of the cookie, and the lifespan of the cookie itself.
Cookies are used to enable certain features (eg. logging in), to track site usage (eg. analytics), to store your user settings (eg. timezone, notification preferences), and to personalize your content (eg. advertising, language).
Cookies set by the website you are visiting are normally referred to as “first-party cookies”, and typically only track your activity on that particular site. Cookies set by other sites and companies (ie. third parties) are called “third-party cookies”, and can be used to track you on other websites that use the same third-party service.
Essential cookies are crucial to your experience of a website, enabling core features like user logins, account management, shopping carts and payment processing. We use essential cookies to enable certain functions on our website.
Performance cookies are used in the tracking of how you use a website during your visit, without collecting personal information about you. Typically, this information is anonymous and aggregated with information tracked across all site users, to help companies understand visitor usage patterns, identify and diagnose problems or errors their users may encounter, and make better strategic decisions in improving their audience’s overall website experience. These cookies may be set by the website you’re visiting (first-party) or by third-party services. We use performance cookies on our site.
Functionality cookies are used in collecting information about your device and any settings you may configure on the website you’re visiting (like language and timezone settings). With this information, websites can provide you with customized, enhanced or optimized content and services. These cookies may be set by the website you’re visiting (first-party) or by third-party service. We do not use this type of cookie on our site.
Targeting/advertising cookies are used in determining what promotional content is more relevant and appropriate to you and your interests. Websites may use them to deliver targeted advertising or to limit the number of times you see an advertisement. This helps companies improve the effectiveness of their campaigns and the quality of content presented to you. These cookies may be set by the website you’re visiting (first-party) or by third-party services. Targeting/advertising cookies set by third-parties may be used to track you on other websites that use the same third-party service. We use targeting/advertising cookies on our site.
We may employ third-party companies and individuals on our websites—for example, analytics providers and content partners. We grant these third parties access to selected information to perform specific tasks on our behalf. They may also set third-party cookies in order to deliver the services they are providing. Third-party cookies can be used to track you on other websites that use the same third-party service. As we have no control over third-party cookies, they are not covered by Pasted's cookie policy.
We review the privacy policies of all our third-party providers before enlisting their services to ensure their practices align with ours. We will never knowingly include third-party services that compromise or violate the privacy of our users.
If you do not wish to accept cookies from us, you can instruct your browser to refuse cookies from our website. Most browsers are configured to accept cookies by default, but you can update these settings to either refuse cookies altogether, or to notify you when a website is trying to set or update a cookie.
If you browse websites from multiple devices, you may need to update your settings on each individual device.
Although some cookies can be blocked with little impact on your experience of a website, blocking all cookies may mean you are unable to access certain features and content across the sites you visit.


Debug Options
Context JSON:
Insert Example
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Skip Output Delay Animation
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Classifier model section applies randomForest R package to assess potential for selected variables from user to work as a classifier features to discriminate groups defined by other user annotation variables. To do that, machine learning-based prediction models are computed and global classification accuracy for variables is specified (see our manuscript Franch-Expósito et al., 2018 for mor details).
If Re-Seg & Score and/or Region profile have been run, annotation features from these section can be loaded (i.e. CNA Scores and genomic regions).
In order for models to work, variable to define groups in user dataset and varible to classify those groups must be specified. Sub-tags from group variable can be selected to further restrict sample groups definition.


@(currentpage: Integer)(maxpage: Integer)(pictures: List[Picture]) @blank("User gallery"){ } {
| photo | title | games | average distance | |
|---|---|---|---|---|
| } else { | } | @picture.getTitle | @DBManager.getInstance().getPlayCount(picture) | @DBManager.getInstance().getAverageDistance(picture) km |


When Should You Start?
Homepage
|
Getting Started
|
Plants by Season
|
Tips
Take our survey to figure out what time of year works best for you to garden! Then go to our seasons page to look at the list of plants.
What's your ideal outside temperature? (in farenheit)
65 and under
65 and above
What do you like eating most?
Pumpkins and Squashes
Fruit
How much time do you want to put into your garden?
Some free time
ALL the free time!
Let's See!


WebSocket Server for TX Text Control HTML5 Document Editor
WebSocket Server for TX Text Control HTML5 Document Editor for Angular and Node.js.
WebSocket Server for TX Text Control HTML5 Document Editor for Angular and Node.js.
This file contains the definition of the class DataContainer
which represents
messages exchanged betwenn the client and the server.
This file contains the ServerCommandID
enumeration containing some command / message
IDs of server or browser messages which have to be processed inside the module.
This file contains the definition of the module's main class.