Hi, my name is David Stapleton. Welcom to the site! While here you can learn a little about me, view some of my previous and current and pass projects.
Currently I am attending the University of Toronto Coding Bothcamp. The cours is very rigerous and entence. However, it covers alot of the new tecnologies and pratcies emergining in the industry. Some of whch include. advance CSS, Javascript, boot Srap. I am very confident that at the end of this program I well equip to be compent full stack developer.


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My Project
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A Graph Class to model a 3D or a 2D view. Determine whether to use an Adjcancey List or Adjanceny Matrix representation. More...
#include <Graph.hpp>
Public Member Functions | |
| Graph () | |
| Constructor for Graph object. More... | |
| ~Graph () | |
| Destructor for Graph object. More... | |
| bool | containsNode (Point P) |
| Returns True if it contains the specified Node else False. More... | |
| bool | containsEdge (Line E) |
| Returns True if it contains the specified Node else False. More... | |
| void | addNode (Point P) |
| adds a node to the Graph More... | |
| void | addEdge (Line E) |
| adds an edge to the Graph More... | |
| void | updateNode (Point P1, Point P2) |
| updates a Node in the Graph More... | |
| void | deleteNode (Point P) |
| deletes a node from the Graph More... | |
| void | deleteEdge (Edge E) |
| deletes an edge from the Graph More... | |
Public Attributes | |
| list< Point > | Node |
| the abstract Node data member that describes the corners/vertices of the View More... | |
| list< Line > | EdgeSet |
| the abstract EdgeSet data member that describes the solid/dashed edges of the View More... | |
A Graph Class to model a 3D or a 2D view. Determine whether to use an Adjcancey List or Adjanceny Matrix representation.
| Graph::Graph | ( | ) |
Constructor for Graph object.
| Graph::~Graph | ( | ) |
Destructor for Graph object.
| bool Graph::containsEdge | ( | Line | E | ) |
Returns True if it contains the specified Node else False.
| bool Graph::containsNode | ( | Point | P | ) |
Returns True if it contains the specified Node else False.
| void Graph::deleteEdge | ( | Edge | E | ) |
deletes an edge from the Graph
| list<Line> Graph::EdgeSet |
the abstract EdgeSet data member that describes the solid/dashed edges of the View
| list<Point> Graph::Node |
the abstract Node data member that describes the corners/vertices of the View


A brand-new kind of swimsuit
J.Crew Weekly Awesome
Shop our weekly awesome (plus, 25% off select styles)
View on a
web browser
.


Preparation time
1-2 hours
Cooking time
10 to 30 mins
Serves
Makes 1 loaf
Dietary
Combine the flour, yeast, olive oil and salt in a mixer with a dough hook.
Add the water to make a soft dough, and knead in the mixer until smooth and shiny.
Transfer to an oiled bowl, cover with a tea towel and leave in a warm place for about an hour until well risen.
Tip the mix out onto a floured surface and knead to knock out any air pockets. Roll the dough into an oval-like shape about 2cm/¾in thick. Transfer to an oiled baking tray.
Firmly press your fingers into the surface to 'pit' the surface. For the topping, drizzle with olive oil and lightly grind sea salt over the top.
Put a small sprig of rosemary into each pit.
Cover with a tea towel and set the loaf aside for another 20 minutes.
Preheat the oven to 200C/400F/Gas 6.
Transfer the loaf to the middle shelf of the oven and cook for about 15 minutes until golden brown.
Serve straightaway.


module Stats: sig
.. end
Utilities for maintaining timing statistics
type
timerModeEnum =
| |
Disabled |
| |
SoftwareTimer |
val reset : timerModeEnum -> unit
Resets all the timings and specifies the method to use for future timings.
Call this before doing any timing.
val countCalls : bool ref
Flag to indicate whether or not to count the number of calls of
to
Stats.repeattime
or
Stats.time
for each label.
(default: false)
val time : string -> ('a -> 'b) -> 'a -> 'b
Time a function and associate the time with the given string. If some
timing information is already associated with that string, then accumulate
the times. If this function is invoked within another timed function then
you can have a hierarchy of timings
val repeattime : float -> string -> ('a -> 'b) -> 'a -> 'b
repeattime is like time but runs the function several times until the total
running time is greater or equal to the first argument. The total time is
then divided by the number of times the function was run.
val print : out_channel -> string -> unit
Print the current stats preceeded by a message
val lookupTime : string -> float
val timethis : ('a -> 'b) -> 'a -> 'b
Time a function and set lastTime to the time it took
val lastTime : float ref


{% extends "layout.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block content %} Civil Money Claims - Alpha User testing 08.02.2017 + 10.02.2017 Reaching an agreement Review agreement Agreement {% endblock %}
User testing 08.02.2017 + 10.02.2017


- Using rvm to manage your gemset without really knowing why since now Bundler does it very cleverly?
- Feeling that the whole rvm system is a bit complicated?
- Tired of having shell scripts not finding your rvm-managed gems?
It looks like your ready to consider rbenv, which is a really lightweight alternative to rvm. Lightweight because it just manages rubies, and lets Bundler manage the gems.
Why?
RVM is a very useful tool that helps you manage your ruby environment when you need multiple rubies and have tons of gems different for each of your projects.
I used RVM a long time on my development machine, however I did not bother to keep it on my production environment. Launching ruby applications through other ruby tools (e.g. God) or crontab
was causing me headaches (loading RVM path, bundle not found, etc.). Since the gems were not managed by RVM, thanks to the excellent Bundler, it was a lot of pain for a poor service.
On the other hand, rbenv is really simple and powerful, but it only manages rubies, not gems. But again, we have Bundler, so it’s all that we need.
I will not say that using rbenv on a production server is painless, you still have to do some work to load some rbenv-things in your environment, but it’s a lot more clear and easy than with RVM…
Uninstall RVM
Start with the RVM auto-uninstall command:
rvm implode
Check your filesystem for other rvm
files which may remain: .rvmrc
files, maybe /etc/rvmrc
. Use find / -name 'rvm' -print
or locate rvm
for example.
Install rbenv with ruby-build plugin
Install rbenv by following the project’s installation tutorial using GitHub checkout. Read the following before doing the install!
Be sure to adjust the file to which you append your environments changes (steps 2 and 3) to the one your using on your system (.bash_profile
in the tutorial, .profile
on my Mac system, but you may have .bashrc
too).
Stop at the end of step 3, restart your term (close and reopen, sure to work while step 4 exec $SHELL
did nothing for me) and do the following to have a simple way of installing rubies:
$ mkdir -p ~/.rbenv/plugins
$ cd ~/.rbenv/plugins
$ git clone git://github.com/sstephenson/ruby-build.git
If you’ve done this after step 4, you can just use this command to install the ruby you need, e.g. 1.9.2-p290
:
rbenv install 1.9.2-p290
Don’t forget to do step 6, rbenv rehash
.
Define rbenv’s default ruby
Create the ~/.rbenv/default
file with the following content, adjusted to your desired ruby:
ruby-1.9.2-p290
Configure Bundler to manage gemsets
As a replacement to RVM’s gemsets feature, we will use Bundler. We will thus ask it to systematically install the gems inside the project’s vendor/bundle
directory, instead of using the system’s default path.
To do this, create the ~/.bundle/config
file and add this content:
---
BUNDLE_PATH: vendor/bundle
You can check the configuration is OK by cd
-ing into one of your projects’ directory (assuming it’s using Bundle and so you have a Gemfile), and running bundle config
. If the configuration is OK, you should have this showed:
path
Set for the current user (/Users/<your_name>/.bundle/config): "vendor/bundle"
Using (and aliasing) bundle exec
Using Bundler to manage your gemsets will now require you to use bundle exec
for every ruby command you run, even rails server
or rails console
(they don’t need bundle exec
to load Bundle, however you need Bundler to find them!).
A nice thing to do is to alias the bundle exec
command to something shorter. I use be
. Add this to your ~/.bash_profile
, ~/.profile
or whatever file you use:
alias be='bundle exec'
So now you can run: be rails console
instead of bundle exec rails console
.
The end
That’s it, you’re done!
References / credits
This walkthrough is based on this article I used a lot myself, but I finally rewrote it to include some more details on the rbenv installation process.
Hubticle tags
ruby, RVM, rbenv, gem, gemset, development, environment, bundle


--- layout: page title: "About" description: "Hey, this is Yuan." header-img: "img/about-bg.jpg" ---
The more you give, the more you receive.
I am currently working as a data scientist at Uptake in Chicago, IL. I focus on building predictive models and streamlined modeling engine used across multiple verticals. I also work in conjunction with software engineering team to build scalable and distributed data science engine for model deployment.
Before joining Uptake, I was a full-time data scientist at Analytical Flavor Systems and my focus was on predictive condition monitoring and flaw detection on artisan beverages such as coffee and beer using sensory science and machine learning.
I graduated from the Pennsylvania State University in Mathematics with honors. Since my senior year at Penn State, I've been a founding member of DataNovo, a legal analytics company that provides predictive insights, keywordless prior art search, and product assessment on infringement for law firms, patent attorneys, etc.
The more you give, the more you receive.
To be added content for English version.


uncertainty(onReload)
uncertainty
could
be
or
may
not
be
The placement of an object or shape may affect the sense of uncertainty
sentence doubles
Click
here
to make a second image appear. Try for a double. Reload to change the top image.
check out the text
Or a piece of art is
A work of art is
make a rhyme


Site Map
Text Link One
Text Link Two
Text Link Three
Text Link Four
Text Link Five
Content Area.
Right column content area.


Ocean [al52], ocean, in The Inner Sea
Last updated Turn #81
Ocean [al52], ocean, in The Inner Sea
------------------------------------------------------------------------
3: Groucho [hu9z], ship, 10 hulls, 1 rowing port, 30 sails, with ram,
3: arrived from Ocean [al53], owner:
3: Kijaro [u4q], Pen, with one worker, 32 sailors
3: Biguah [k7h], Imperial Empire, with 16 nazgul, accompanied by:
3: Piadora [v3y], Imperial Empire, with 16 nazgul
3: Chewbacca [w2h], Imperial Empire, the High Priest of the Church
3: of Timeid [154], with nine angels
3: Ynko [s5q], Imperial Empire, priest of the Church of Dol [153],
3: with five nazgul
4: Groucho [hu9z], ship, 10 hulls, 1 rowing port, 30 sails, with ram,
4: departed for Ocean [al51].
Routes leaving Ocean:
North, to Ocean [ak52], 6 days
East, to Ocean [al53], 6 days
South, to Ocean [am52], 6 days
West, to Ocean [al51], 6 days


Zenande is fun loving and free spirit, focused on life, and a career driven individual. He is passionate about solving problems and bringing new technologies to life through software and interested in new innovative technologies. .
Zenande has Attended two years at WeThinkCode_, and interned at BCX. Zenande is familiar with Swift and Xcode, ReactJS for web development. Python - Django for backend development.
This is a web application that allows for the monitoring of ATM data built with Python Django.
The primary fields of observation are:
Temperature,
Vibrations,
Humidity,
Paper Level,
Transaction Speed,
Data Transfer Speed (Download Speed),
Amount of Deposits.
This is an Android app that we were requested to create by BCX.
The main purpose of this app is for residents to be able to:
View Municipal Bills,
Buy Prepaid Electricity,
Report a fault,
Access Emergency contacts,
Access Law enforcement contacts,
Find nearby Municipal Office.
The app hasn't been approved yet.
This is a platform for people and businesses to donate to patients in hospitals who need medical care but cannot afford the fees. It’s by passes the need to for paying NGOs since Donors will immediately be able to see their money make an impact on a person’s life. This idea actually came to us from Hackathon that we attended. We won the first place price prize and we were able to fund the development of the platform. We are still in the late stages of development on this app and we expect to launch early 2019. You can read the full article of the hackathon here.
Close ProjectThis is an iOS App that allows for students at WeThinkCode and School 42 to search and view their profiles, along with their projects and skills. I created this app with Swift 4 and Xcode 9.
Close ProjectThis is an iOS App that allows for students to get assistance on the projects or homework and other academics. I created this app with Swift 4 and Xcode 9. It is not complete yet, however by early February, the app should be on the App Store and I will proceed to creating an Android version of the app.
Close Project


60 Second DJ is a fast-paced music player party experience that allows the user to choose their own musical
adventure in a 60 minute, 60 song power hour of fun! 60 Second DJ utilizes playlists that you create to play 60
seconds
of your favorite songs, and gives you a new song every minute.
If you're looking for a mix to
start a party, if you need a soundtrack for your workout, or if you just have a really short attention span, then 60
Second DJ has you covered. Wanna see how many songs you and your friends can jam out to on your road trip to
Coachella? Just plug 60 Second DJ into your AUX cord and get festival season started early!
Just use 60 Second DJ for all your party-starting needs!
60 Second DJ combines a cutting edge proprietary ERMAHGERD technology (Extremely Radical Music App to Help Get Everybody Ready to Dance) with Spotify's Web
API so that users can keep the party going and the good times rolling for all 60 minutes of their musical adventure. You can start your experience using
one of 60 Second DJ's pre-curated playlists from our team of tastemakers and rump shakers, you can import your own pre-made
playlists from your Spotify account, or you can create your own here on 60 Second DJ!
Remember to trust the science! Our team of kinetic scientists have done the research for you and have discovered that 1
song per minute achieves the optimal level of energy and atmosphere. Anything more could cause long term damage to your health, and
your friendships.
You'll get goosebumps when you realize how our ERMAHGERD technology has perfected the ratio of jams per hour and help
turn you from a zero to a hero at your next party, zumba class, bar mitzvah, church lock-in, dance contest, or any
social gathering! Please party responsibly.
Here is the heart of the 60SecondDJ application. Search songs and create your own specialized playlists to fill an hour listening enjoyment. Find and select the songs you think will get your friends talking and laughing. Choose wisely! Don’t want to take the time to search and select 60 songs, get the party started with our pre-populated playlist that has been tested thoroughly by are staff and test participants. Click the Select button next to the playlist name and you’re ready.
Feeling bold enough to create a playlist? First enter a playlist name, and click ‘Create Playlist’. Make sure it’s something that pops. Select the your playlist and you’re ready to start adding songs. Enter a song title and click ‘Search’. Your song will appear in the playlist. Once your list is completed you’re ready to Shot!fy.


Prachi sets meet record in 200m freestyle
by Special CorrespondentPrachi Tokas of Delhi bagged her second gold with a new meet record, as she won the women’s 200m freestyle with a time of 2 minute 10.57 seconds, in the 65th National School Games swimming championship at the Shyama Prasad Mukherjee Swimming Pool here on Monday.
Prachi had won the 800m freestyle gold with a new meet record on Sunday.
The others to set new meet marks were Harsh Saroha, Kareena Shankta, Nina Venkatesh, Kiara Bangera, Anushka Patil and Jasnoor Kaur.
The results: Men: Under-19: 200m freestyle: 1. Gourav Chavan 1:59.22; 2. Saif Chandran 1:59.85; 3. Mohit Venkatesh 2:00.07.
200m backstroke: 1. Tanish Kaswan Nayasar 2:24.40; 2. Ashish Kadam 2:28.92; 3. B. Akash Navin 2:30.28.
50m butterfly: 1. Swapnil Chakraborty 26.11; 2. P. Vikas 26.60; 3. M. Jeya Vikesh 26.62.
Women: Under-19: 200m freestyle: 1. Prachi Tokas 2:10.57 (NMR); 2. Bhavika Dagar 2:12.67; 3. V. Varsha 2:16.56.
200m breaststroke: 1. Yashika Rawat 2:48.84; 2. Silki Nagpure 2:56.42; 3. Abisha Angelin 3:04.30.
800m freestyle: 1. Prachi 9:16.75 (NMR); 2. Bhavika 9:16.77; 3. V. Varsha 9:52.46.
50m butterfly: 1. Shristi Upadhaya 30.35; 2. Sunaina Manjunath 30.55; 3. Priyanga Pugazhrasu 30.75.
4x100m medley relay: 1. Delhi 4:54.96; 2. Tamil Nadu 4:55.61; 3. West Bengal 4:56.07.
Boys: Under-17: 200m freestyle: 1. R. Sambhav 1:57.30; 2. Aneesh Gowda 1:57.96; 3. Veer Khatkar 1:59.37.
200m backstroke: 1. Srish Maulik 2:27.91; 2. Bhargav Phukan 2:28.25; 3. Kalp Bohra 2:31.26.
50m butterfly: 1. Harsh Saroha 25.86 (NMR); 2. Sathya Sai Krishnan 26.03; 3. Laksh Puri 26.69.
Under-14: 200m freestyle: 1. Raghav Tandon 2:06.10; 2. Sanjeevan Kumar Das 2:10.01; 3. S. Guna Balan 2:10.53.
200m backstroke: 1. Vidith Shankar 2:33.76; 2. Abhinandan Khandelwal 2:33.90; 3. Zainul Hussain 2:35.14.
50m butterfly: 1. Atharva Jarange 28.59; 2. Aditya Thapa 28.70; 3. Pranjal Patra 28.92.
Girls: Under-17: 200m freestyle: 1. Swarna Harith 2:13.10; 2. Niva Sharma 2:16.66; 3. Anwayi Maske 2:19.12.
200m backstroke: 1. Kareena Shankta 2:42.81 (NMR); 2. Zaara Jabbar 2:49.44; 3. Arushi Manjunath 2:49.64.
50m butterfly: 1. Nina Venkatesh 28.87 (NMR); 2. Nilabjaa Ghosh 30.08; 3. Sanjiti Saha 30.32.
4x100m medley relay: 1. International Board Schools 4:39.22; 2. Council for Indian School 4:44.33; 3. Karnataka 4:50.25.
Under-14: 200m freestyle: 1. Kiara Bangera 2:13.33 (NMR); 2. Jahnabi Kashyap 2:17.18; 3. Cynthia Choudhury 2:18.30.
200m backstroke: 1. Anushka Patil 2:43.78 (NMR); 2. Shriya Ishwar Prasad 2:53.07; 3. V. Hitaishi 2:53.68.
50m butterfly: 1. Jasnoor Kaur 30.16 (NMR); 2. Sanjana Pala 30.69; 3. Dhara Patel 31.20.
4x100m medley relay: 1. Maharashtra 4:52.22; 2. Assam 4:59.07; 3. Council for Indian School 5:01.50.


{% extends 'base.html' %} {% block title %} Changed password {% endblock %} {% block content %}
Successfully changed password


Aika is a neural network simulation algorithm, that uses neurons to represent a wide variety of
linguistic concepts and connects them via synapses. In contrast to most other neural
network architectures, Aika does not employ layers to structure its network. Synapses can connect arbitrary
neurons with each other, but the network is not fully connected either.
Like other artificial neural networks (ANN) the synapses are weighted. By choosing the weights and the threshold
(i.e. the bias) accordingly, neurons can take on the characteristics of boolean logic gates such as an
and-gate or an or-gate. To compute the activation value of a neuron, the weighted sum over its input
synapses is computed. Then the bias value \(b\) is added to this sum and the result is
sent through an activation function \(\varphi\).
$$net_j = {b_j + \sum\limits_{i=0}^N{x_i w_{ij}}}$$ $$y_j = \varphi (net_j)$$ Depending on the type of neuron, different activation functions are used. One commonly used activation function in Aika is the rectified hyperbolic tangent function, which is basically the positive half of the \(\tanh()\) function. \[\varphi(x) = \Bigg \{ {0 \atop \tanh(x)} {: x \leq 0 \atop : x > 0}\]
The activation functions are chosen in a way that they clearly distinguish between active and inactive neurons. Only activated neurons are processed. These activations are expressed not only by a real valued number but also by an activation object.
The advantage of having activation objects is that, through them, Aika is able to cope with the relational structure of natural language text by making the activation relate to a specific segment of text. In a way these activations can be seen as text annotations that specify either the start and end character or the position of a word (relational id). Words, phrases and sentences are in a relation to each other through their sequential order. The assignment of text ranges and word positions to activations is a simple yet powerful representation of the relational structure of text and avoids some of the shortcomings of other representations such as bag of words or sliding window. Since the activations are propagated along through the network, synapses need to be able to manipulate the text range and the word position while the activations are passed on to the next neuron.
One common problem when processing text is that of cyclic dependencies. In the example 'jackson cook' it
is impossible to decide which word has to be resolved first, the forename or the surname, since both
depend on each other. The word jackson can be recognized as a forename when the next word is a surname
and the word cook can be recognized as a surname when the previous word is a forename.
To tackle this problem Aika employs non-monotonic logic
and is therefore able to derive multiple interpretations that are mutually exclusive. These interpretations
are then weighted and only the strongest interpretation is returned as the result.
Consider the following network, which is able to determine whether a word, which has been recognized in a
text, is a forename, surname, city name, or profession. If for instance the word "jackson" has been
recognized in a text, it
will trigger further activations in the two jackson entity neurons. Since both are connected through the
inhibiting neuron only one of them can be active in the end. Aika will therefore generate two
interpretations. But these interpretations are not limited to a single neuron. For instance if the word
neuron cook gets activated too, the jackson forename entity and the cook surname entity will be
part of the same interpretation. The forename and surname category links in this example form a positive
feedback loop which reinforces this interpretation.
New interpretations are spawned if both input and output of a negative recurrent synapse get activated. In this case a conflict is generated. An interpretation is a conflict free set of activations. Therefore, if there are no conflicts during the processing of an input data set, only one interpretation will exist and the search for the best interpretation will end immediately. On the other hand, if there are conflicts between activations, a search needs to be performed which selects or excludes individual activations and tests how these changes affect the overall weights sum of all activations. This sum is also called the objective function \(f\) and can be stated in the following way: $$f = \sum\limits_{j \in Acts}{\min (-g_j, net_j)}$$ $$g_j = \sum\limits_{i = 0, w_{ij} < 0, w_{ij} \in Recurrent}^N{w_{ij}}$$ The value \(g_j\) is simply the sum of all negative feedback synapses. The intention behind this objective function is to measure a neurons ability to overcome the inhibiting input signals of other neurons.
During the search, the individual activation values of each neuron are adjusted according to the current search path. Selected activations are computed and propagated through the network, excluded activations are set to zero. To reduce costs of the interpretation search several optimizations have been implemented, so that the search avoids to follow branches that have already been computed. Furthermore, the computation results in each search node are cached if possible. A stack trace of the resulting binary search tree looks as shown in the box below. This list shows a single path from a leaf node to the root node. Each search node is associated with a single activation. The nodes are ordered in a way, that the causality of non recurrent synapses is respected. Depending on the path each activation is either selected or excluded. Decisions on lower level nodes might limit the available choices for higher level nodes. The values DW and DN are the weight delta and norm delta for this search node. The values AW and AN are the accumulated weights and norms up to this node. The values LIMITED, CACHED, EXPLORE, SELECTED, EXCLUDED, SIM-CACHED, SIM-COMPUTED and MODIFIED are simply statistics for different events during the search.
7 RANGE:(12,16) C-surname
AW:9.998 AN:20.3 DW:9.998 DN:0.0
LIMITED DECISION:SELECTED CONFLICT:false LIMITED:5 CACHED:0 EXPLORE:0 SELECTED:2 EXCLUDED:3
SIM-CACHED:0 SIM-COMPUTED:5 MODIFIED:1
6 RANGE:(12,16) INHIBIT
AW:0.0 AN:20.3 DW:0.0 DN:0.0
LIMITED DECISION:SELECTED CONFLICT:false LIMITED:5 CACHED:0 EXPLORE:0 SELECTED:4 EXCLUDED:1
SIM-CACHED:0 SIM-COMPUTED:5 MODIFIED:2
5 RANGE:(12,16) E-cook (surname)
AW:0.0 AN:20.3 DW:0.0 DN:5.0
CACHED DECISION:SELECTED CONFLICT:true LIMITED:2 CACHED:1 EXPLORE:1 SELECTED:2 EXCLUDED:3
SIM-CACHED:0 SIM-COMPUTED:5 MODIFIED:1
4 RANGE:(12,16) E-cook (profession)
AW:0.0 AN:15.3 DW:0.0 DN:4.5
EXPLORE DECISION:EXCLUDED CONFLICT:true LIMITED:0 CACHED:0 EXPLORE:2 SELECTED:2 EXCLUDED:2
SIM-CACHED:0 SIM-COMPUTED:4 MODIFIED:0
3 RANGE:(4,11) C-forename
AW:0.0 AN:10.8 DW:0.0 DN:0.0
LIMITED DECISION:SELECTED CONFLICT:false LIMITED:2 CACHED:0 EXPLORE:0 SELECTED:1 EXCLUDED:1
SIM-CACHED:0 SIM-COMPUTED:2 MODIFIED:0
2 RANGE:(4,11) INHIBIT
AW:0.0 AN:10.8 DW:0.0 DN:0.0
LIMITED DECISION:SELECTED CONFLICT:false LIMITED:2 CACHED:0 EXPLORE:0 SELECTED:2 EXCLUDED:0
SIM-CACHED:0 SIM-COMPUTED:2 MODIFIED:1
1 RANGE:(4,11) E-jackson (forename)
AW:0.0 AN:10.8 DW:0.0 DN:5.0
EXPLORE DECISION:SELECTED CONFLICT:true LIMITED:1 CACHED:0 EXPLORE:1 SELECTED:1 EXCLUDED:1
SIM-CACHED:0 SIM-COMPUTED:2 MODIFIED:0
0 RANGE:(4,11) E-jackson (city)
AW:0.0 AN:5.8 DW:0.0 DN:5.8
EXPLORE DECISION:EXCLUDED CONFLICT:true LIMITED:0 CACHED:0 EXPLORE:1 SELECTED:1 EXCLUDED:1
SIM-CACHED:0 SIM-COMPUTED:2 MODIFIED:0
Synapses in Aika consist not just of a weight value but also properties that specify relations between
synapses. These relations can either be used to imply an constrained on the matching input text ranges or
the dependency structure of the input activations. Biological neurons seem to achieve such a relation
matching through the timing of the firing patterns of their action potentials.
The complete list of synapse properties looks as follows:
new Synapse.Builder()
.setSynapseId(0)
.setNeuron(inputNeuronA)
.setWeight(10.0)
.setBias(-10.0)
.setRecurrent(false)
new Synapse.Builder()
.setSynapseId(1)
.setNeuron(inputNeuronB)
.setWeight(10.0)
.setBias(-10.0)
.setRecurrent(false)
new Relation.Builder()
.setFrom(0)
.setTo(1)
.setRelation(new Equals(END, BEGIN)),
new Relation.Builder()
.setFrom(0)
.setTo(OUTPUT)
.setRelation(new Equals(BEGIN, BEGIN)),
new Relation.Builder()
.setFrom(1)
.setTo(OUTPUT)
.setRelation(new Equals(END, END))
Unlike other ANNs, Aika allows to specify a bias value per synapse. These bias values are simply summed
up and added to the neurons bias value.
The property recurrent states whether this synapse is a feedback loop or not. Depending on the weight
of this synapse such a feedback loop might either be positive or negative. This property is an important
indicator for the interpretation search.
Range relations define a relation either to another synapse or to the output range of this activation.
The range relations consist of four comparison operations between the between the begin and end of the
current synapses input activation and the linked synapses input activation.
The next property is the range output which consists of two boolean values. If these are set to true,
the range begin and the range end are propagated to the output activation.
The last two properties are used to establish a dependency structure among activations. The instance
relation here defines whether this synapse and the linked synapse have a common ancestor or are
depending on each other in either direction. During the evaluation of this relation only those synapses
are followed which are marked with the identity flag.
Depending on the weight of the synapse and the bias sum of the outgoing neuron, Aika distinguishes two
types synapses: conjunctive synapses and disjunctive synapses. Conjunctive synapses are stored in the
output neuron as inputs and disjunctive synapses are stored in the input neuron as outputs. The reason
for this is that disjunctive neurons like the inhibitory neuron or the category neurons may have a huge
number of input synapses, which makes it expensive to load them from disk. By storing those synapses on
the input neuron side, only those synapses need to stay in memory, that are needed by an currently
activated input neuron.
There are two main types of neurons in Aika: excitatory neurons and inhibitory neurons. The biological
role models for those neurons are the spiny pyramidal cell and the aspiny stellate cell in the cerebral
cortex. The pyramidal cells usually exhibit an excitatory characteristic and some of them possess long
ranging axons that connect to other parts of the brain. The stellate cells on the other hand are usually
inhibitory interneurons with short axons which form circuits with nearby neurons.
Those two types of neurons also have a different electrical signature. Stellate cells usually react to
a constant depolarising current by firing action potentials. This occurs with a relatively constant frequency
during the entire stimulus. In contrast, most pyramidal cells are unable to maintain a constant firing
rate. Instead, they are firing quickly at the beginning of the stimulus and then reduce the frequency even
if the stimulus stays strong. This slowdown over time is called adaption.
Aika tries to mimic this behaviour by using different activation functions for the different types of
neurons. Since Aika is not a spiking neural network like the biological counterpart, we only have the neurons
activation value which can roughly be interpreted as the firing frequency of a spiking neuron. In a sense the
earlier described activation function based on the rectified tanh function quite nicely captures
the adaption behaviour of a pyramidal cell. An increase of a weak signal has a strong effect on the
neurons output, while an increase on an already strong signal has almost no effect. Furthermore, if the
input of the neuron does not surpass a certain threshold then the neuron will not fire at all.
For inhibitory neurons Aika uses the rectified linear unit function (ReLU).
Especially for strongly disjunctive neurons like the inhibitory neuron, ReLU has the advantage of propagating its input signal exactly as it is, without distortion or loss of information.
One design goal of the Aika algorithm is, to be able to efficiently simulate huge networks with millions
of neurons. However, this is only possible if only a very small part of the neurons become active for
any given input data set. One
prerequisite for achieving this goal is the earlier mentioned distinction between active and inactive neurons.
If one neuron gets activated, only those outgoing neurons are required to be computed, that would
exceed their threshold based on this new input. Depending on the synapse weights and bias settings of
the outgoing neuron it may either fire directly (for or-gate like neurons) or it may require other input
neurons to fire first (for and-gate like neurons). If the neuron is an and-gate like neuron then there
is an efficient way to determine only those outgoing neurons that might be activated by a new input signal.
This is where the pattern lattice
comes into play. The pattern lattice is used to store all sub patterns of a given input pattern. If
for instance a neuron requires the inputs \(A\), \(B\) and \(C\) to be activated before the neuron itself can be
fired, then the following pattern lattice would emerge.
As with the neural network, activations can be propagated within the pattern lattice as well. If only the two inputs \(A\) and \(B\) are activated by an incoming signal, then the pattern node \(AB\) would be activated as well, but not the pattern node \(ABC\). The advantage of this data structure is that only minimal refinements have to be tested from one level in the pattern lattice to the next. If all neurons dependent on input \(A\) were tested directly, the number of outgoing neurons might be so large that many unnecessary calculations would be required. But before we can build the pattern lattice, we first have to convert the weighted inputs of the neuron into a boolean representation. Here we only need to distinguish between active and inactive neurons. Hence let us consider a neuron with a heaviside activation function (\(\theta(x) = 1\) if \(x > 0\) otherwise \(0\)).
$$b = -0.5$$ $$w_0 = 1.0$$ $$w_1 = 0.3$$ $$w_2 = 0.3$$ $$y = \theta \Bigg({b + \sum\limits_{i=0}^N{x_i w_i}}\Bigg)$$This example neuron can then be reformulated into a disjunctive normal form (-0.5 + 1.0 > 0 OR -0.5 + 0.3 + 0.3 > 0) boolean expression:
$$y = x_0 \vee (x_1 \wedge x_2)$$A boolean expression in disjunctive normal form consists of a set of conjunctions that are connected by a disjunction. That means we can store these conjunctions as nodes within the pattern lattice and connect them by a disjunction node. The activation of this disjunction node is then the precondition before the associated neuron can be activated. So the weighted sum of the neuron still needs to be computed, but only when the disjunction node gets activated. Another advantage of the pattern lattice is that large parts of the lattice can be shared by multiple neurons.


Source code for astropy.coordinates.builtin_frames.altaz
# -*- coding: utf-8 -*-
# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import (absolute_import, unicode_literals, division,
print_function)
import numpy as np
from ... import units as u
from ..representation import SphericalRepresentation
from ..baseframe import (BaseCoordinateFrame, FrameAttribute,
TimeFrameAttribute, QuantityFrameAttribute,
RepresentationMapping, EarthLocationAttribute)
_90DEG = 90*u.deg
[docs]class AltAz(BaseCoordinateFrame):
"""
A coordinate or frame in the Altitude-Azimuth system (Horizontal
coordinates). Azimuth is oriented East of North (i.e., N=0, E=90 degrees).
This frame is assumed to *include* refraction effects if the ``pressure``
frame attribute is non-zero.
This frame has the following frame attributes, which are necessary for
transforming from AltAz to some other system:
* ``obstime``
The time at which the observation is taken. Used for determining the
position and orientation of the Earth.
* ``location``
The location on the Earth. This can be specified either as an
`~astropy.coordinates.EarthLocation` object or as anything that can be
transformed to an `~astropy.coordinates.ITRS` frame.
* ``pressure``
The atmospheric pressure as an `~astropy.units.Quantity` with pressure
units. This is necessary for performing refraction corrections.
Setting this to 0 (the default) will disable refraction calculations
when transforming to/from this frame.
* ``temperature``
The ground-level temperature as an `~astropy.units.Quantity` in
deg C. This is necessary for performing refraction corrections.
* ``relative_humidity``
The relative humidity as a number from 0 to 1. This is necessary for
performing refraction corrections.
* ``obswl``
The average wavelength of observations as an `~astropy.units.Quantity`
with length units. This is necessary for performing refraction
corrections.
Parameters
----------
representation : `BaseRepresentation` or None
A representation object or None to have no data (or use the other keywords)
az : `Angle`, optional, must be keyword
The Azimuth for this object (``alt`` must also be given and
``representation`` must be None).
alt : `Angle`, optional, must be keyword
The Altitude for this object (``az`` must also be given and
``representation`` must be None).
distance : :class:`~astropy.units.Quantity`, optional, must be keyword
The Distance for this object along the line-of-sight.
Notes
-----
The refraction model is based on that implemented in ERFA, which is fast
but becomes inaccurate for altitudes below about 5 degrees. Near and below
altitudes of 0, it can even give meaningless answers, and in this case
transforming to AltAz and back to another frame can give highly discrepent
results. For much better numerical stability, leaving the ``pressure`` at
``0`` (the default), disabling the refraction correction (yielding
"topocentric" horizontal coordinates).
"""
frame_specific_representation_info = {
'spherical': [RepresentationMapping('lon', 'az'),
RepresentationMapping('lat', 'alt')],
}
frame_specific_representation_info['unitspherical'] = \
frame_specific_representation_info['spherical']
default_representation = SphericalRepresentation
obstime = TimeFrameAttribute(default=None)
location = EarthLocationAttribute(default=None)
pressure = QuantityFrameAttribute(default=0, unit=u.hPa)
temperature = QuantityFrameAttribute(default=0, unit=u.deg_C)
relative_humidity = FrameAttribute(default=0)
obswl = QuantityFrameAttribute(default=1*u.micron, unit=u.micron)
def __init__(self, *args, **kwargs):
super(AltAz, self).__init__(*args, **kwargs)
@property
def secz(self):
"""
Secant if the zenith angle for this coordinate, a common estimate of the
airmass.
"""
return 1/np.sin(self.alt)
@property
def zen(self):
"""
The zenith angle for this coordinate
"""
return _90DEG.to(self.alt.unit) - self.alt
#self-transform defined in cirs_observed_transforms.py


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POSTLOG
Section: User Commands (1)Index Return to Main Contents
NAME
postlog - Postfix-compatible logging utilitySYNOPSIS
postlog [-iv] [-c config_dir] [-p priority] [-t tag] [text...]
DESCRIPTION
The postlog(1) command implements a Postfix-compatible logging interface for use in, for example, shell scripts.By default, postlog(1) logs the text given on the command line as one record. If no text is specified on the command line, postlog(1) reads from standard input and logs each input line as one record.
Logging is sent to syslogd(8); when the standard error stream is connected to a terminal, logging is sent there as well.
The following options are implemented:
- -c config_dir
- Read the main.cf configuration file in the named directory instead of the default configuration directory.
- -i
- Include the process ID in the logging tag.
- -p priority
- Specifies the logging severity: info (default), warn, error, fatal, or panic.
- -t tag
- Specifies the logging tag, that is, the identifying name that appears at the beginning of each logging record. A default tag is used when none is specified.
- -v
- Enable verbose logging for debugging purposes. Multiple -v options make the software increasingly verbose.
ENVIRONMENT
- MAIL_CONFIG
- Directory with the main.cf file.
CONFIGURATION PARAMETERS
The following main.cf parameters are especially relevant to this program.
The text below provides only a parameter summary. See postconf(5) for more details including examples.
- config_directory (see 'postconf -d' output)
- The default location of the Postfix main.cf and master.cf configuration files.
- syslog_facility (mail)
- The syslog facility of Postfix logging.
- syslog_name (see 'postconf -d' output)
- The mail system name that is prepended to the process name in syslog records, so that "smtpd" becomes, for example, "postfix/smtpd".
SEE ALSO
postconf(5), configuration parameters syslogd(8), syslog daemon
LICENSE
The Secure Mailer license must be distributed with this software.
AUTHOR(S)
Wietse Venema IBM T.J. Watson Research P.O. Box 704 Yorktown Heights, NY 10598, USA
Index
This document was created by man2html, using the manual pages.
Time: 05:29:09 GMT, December 24, 2015


Popover - Dismiss On Select
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SPM stands for Screens Per Minute, it measures the multitasking skills of players.
SPM tells how fast / frequently players are changing screens during games. Numerically it shows how many times are screens switched by
the player in 1 minute. Higher SPM means more / faster screen switches.
Screen changes are listed under the
CameraUpdate
events. Only screen changes that move the screen with at least a certain distance (delta ≥ 15) are counted in
SPM
.
That being said SPM includes:
- Camera hotkey usage
- (Left) clicking on the mini map to move your screen
- Clicking on the portrait of the selected unit to center the unit on the screen
- Pressing the space key to center the location of the latest event
SPM does NOT include:
- Locking screen on a unit
- Scrolling your screen with the cursor keys (keyboard)
- Scrolling your screen by moving your mouse cursor to the side of the screen (side scrolling)
- Spamming the same camera hotkey or (left) clicking on the minimap to approximately the same location
The SPM chart visualizes the current SPM value of players at each time of the game,
averaging by the selected granularity time value.
Note: The static SPM of a player calculated for a game excludes the first 80 seconds (can be changed) and is only counted until
the player's last command (Cmd event).


This tutorial will show you how to theme the toolkit to better suit your game.
In the Simple widget’s documentation, it shows that the first argument of a widget can be used to change what’s drawn.
Earlier, we created a button using this code:
btn = sgc.Button(label="Clicky", pos=(100, 100))
This ignores the first argument and thus creates a default button.
We can change the size of the widget by specifying the size as the first argument to the widget. This argument should be a tuple or list containing the width and height:
btn = sgc.Button((20, 70), label="Clicky", pos=(100, 100))
This creates the button with a width of 20 pixels and height of 70 pixels.
There are 2 ways to use custom images to make a widget fit into the design of a game.
The first method is to pass an existing Pygame Surface object as the first argument. This could be loaded using the pygame.image module, a surface you’ve drawn on with code or anything else resulting in a Pygame Surface:
surf = pygame.Surface((200, 100))
... draw some stuff on surf ...
btn = sgc.Button(surf, label="Clicky", pos=(100, 100))
The second method is to pass a string containing the file name of an image that can be loaded:
btn = sgc.Button("btn.png", label="Clicky", pos=(100, 100))
Note
This will load the image using pygame.image.load(surf).convert_alpha(). If you want to load the image differently, then load it manually and pass the resulting surface in as shown in the previous sub-section.
If you look at the documentation for some widgets, such as the Button widget, you will find some list multiple images which can be used for different states. The Button lists 3 images: ‘image’, ‘over’ and ‘down’. These represent different states of the button and each can use a different image.
In order to use images for these different states, we must pass in a dictionary; the keys should be strings matching the image states, while the values should be either a string or Pygame Surface in the same manner as the previous section:
imgs = {"image": "off.png", "over": "over.png", "down": "down.png"}
btn = sgc.Button(imgs, label="Clicky", pos=(100, 100))


We quickly saw the benefit of wrapping socket methods in the SSL.Connection class, for an easy transition into using SSL. The problem here is that the socket module lacks a C API, and all the methods are declared static. One approach would be to have OpenSSL as a submodule to the socket module, placing all the code in socketmodule.c, but this is obviously not a good solution, since you might not want to import tonnes of extra stuff you're not going to use when importing the socket module. The other approach is to somehow get a pointer to the method to be called, either the C function, or a callable Python object. This is not really a good solution either, since there's a lot of lookups involved.
The way it works is that you have to supply a ``socket-like'' transport object to the SSL.Connection. The only requirement of this object is that it has a fileno() method that returns a file descriptor that's valid at the C level (i.e. you can use the system calls read and write). If you want to use the connect() or accept() methods of the SSL.Connection object, the transport object has to supply such methods too. Apart from them, any method lookups in the SSL.Connection object that fail are passed on to the underlying transport object.
Future changes might be to allow Python-level transport objects, that instead of having fileno() methods, have read() and write() methods, so more advanced features of Python can be used. This would probably entail some sort of OpenSSL ``BIOs'', but converting Python strings back and forth is expensive, so this shouldn't be used unless necessary. Other nice things would be to be able to pass in different transport objects for reading and writing, but then the fileno() method of SSL.Connection becomes virtually useless. Also, should the method resolution be used on the read-transport or the write-transport?


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Class CL20
- java.lang.Object
-
- org.lwjgl.opencl.CL20
-
public class CL20 extends java.lang.Object
The core OpenCL 2.0 functionality.
-
-
Field Summary
-
Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method and Description static long
clCreateCommandQueueWithProperties(long context, long device, long[] properties, int[] errcode_ret)
Array version of:CreateCommandQueueWithProperties
static long
clCreateCommandQueueWithProperties(long context, long device, java.nio.LongBuffer properties, java.nio.IntBuffer errcode_ret)
Creates a host or device command-queue on a specific device.static long
clCreatePipe(long context, long flags, int pipe_packet_size, int pipe_max_packets, int[] properties, int[] errcode_ret)
Array version of:CreatePipe
static long
clCreatePipe(long context, long flags, int pipe_packet_size, int pipe_max_packets, java.nio.IntBuffer properties, java.nio.IntBuffer errcode_ret)
Creates a pipe object.static long
clCreateSamplerWithProperties(long context, int[] sampler_properties, int[] errcode_ret)
Array version of:CreateSamplerWithProperties
static long
clCreateSamplerWithProperties(long context, java.nio.IntBuffer sampler_properties, java.nio.IntBuffer errcode_ret)
Creates a sampler object.static int
clEnqueueSVMFree(long command_queue, PointerBuffer svm_pointers, CLSVMFreeCallbackI pfn_free_func, java.nio.ByteBuffer user_data, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command to free the shared virtual memory buffer allocated usingSVMAlloc
or a shared system memory pointer.static int
clEnqueueSVMMap(long command_queue, int blocking_map, long map_flags, java.nio.ByteBuffer svm_ptr, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command that will allow the host to update a region of a SVM buffer.static int
clEnqueueSVMMemcpy(long command_queue, int blocking_copy, java.nio.ByteBuffer dst_ptr, java.nio.ByteBuffer src_ptr, long size, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command to do amemcpy
operation.static int
clEnqueueSVMMemFill(long command_queue, java.nio.ByteBuffer svm_ptr, java.nio.ByteBuffer pattern, long size, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command to fill a region in memory with a pattern of a given pattern size.static int
clEnqueueSVMUnmap(long command_queue, java.nio.ByteBuffer svm_ptr, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command to indicate that the host has completed updating the region given bysvm_ptr
and which was specified in a previous call toEnqueueSVMMap
.static int
clGetPipeInfo(long pipe, int param_name, java.nio.ByteBuffer param_value, PointerBuffer param_value_size_ret)
Queries information specific to a pipe object.static int
clGetPipeInfo(long pipe, int param_name, int[] param_value, PointerBuffer param_value_size_ret)
int[] version of:GetPipeInfo
static int
clGetPipeInfo(long pipe, int param_name, java.nio.IntBuffer param_value, PointerBuffer param_value_size_ret)
IntBuffer version of:GetPipeInfo
static int
clSetKernelArgSVMPointer(long kernel, int arg_index, java.nio.ByteBuffer arg_value)
Set a SVM pointer as the argument value for a specific argument of a kernel.static int
clSetKernelExecInfo(long kernel, int param_name, java.nio.ByteBuffer param_value)
Can be used to pass additional information other than argument values to a kernel.static int
clSetKernelExecInfo(long kernel, int param_name, int[] param_value)
int[] version of:SetKernelExecInfo
static int
clSetKernelExecInfo(long kernel, int param_name, java.nio.IntBuffer param_value)
IntBuffer version of:SetKernelExecInfo
static int
clSetKernelExecInfo(long kernel, int param_name, PointerBuffer param_value)
PointerBuffer version of:SetKernelExecInfo
static java.nio.ByteBuffer
clSVMAlloc(long context, long flags, long size, int alignment)
Allocates a shared virtual memory buffer (referred to as a SVM buffer) that can be shared by the host and all devices in an OpenCL context that support shared virtual memory.static void
clSVMFree(long context, java.nio.ByteBuffer svm_pointer)
Frees a shared virtual memory buffer allocated usingSVMAlloc
.
-
-
-
Field Detail
-
CL_VERSION_2_0
public static final int CL_VERSION_2_0
OpenCL Version.- See Also:
- Constant Field Values
-
CL_INVALID_PIPE_SIZE
public static final int CL_INVALID_PIPE_SIZE
Error Codes- See Also:
- Constant Field Values
-
CL_INVALID_DEVICE_QUEUE
public static final int CL_INVALID_DEVICE_QUEUE
Error Codes- See Also:
- Constant Field Values
-
CL_DEVICE_QUEUE_ON_HOST_PROPERTIES
public static final int CL_DEVICE_QUEUE_ON_HOST_PROPERTIES
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_MAX_READ_WRITE_IMAGE_ARGS
public static final int CL_DEVICE_MAX_READ_WRITE_IMAGE_ARGS
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_MAX_GLOBAL_VARIABLE_SIZE
public static final int CL_DEVICE_MAX_GLOBAL_VARIABLE_SIZE
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_QUEUE_ON_DEVICE_PROPERTIES
public static final int CL_DEVICE_QUEUE_ON_DEVICE_PROPERTIES
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_QUEUE_ON_DEVICE_PREFERRED_SIZE
public static final int CL_DEVICE_QUEUE_ON_DEVICE_PREFERRED_SIZE
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_QUEUE_ON_DEVICE_MAX_SIZE
public static final int CL_DEVICE_QUEUE_ON_DEVICE_MAX_SIZE
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_MAX_ON_DEVICE_QUEUES
public static final int CL_DEVICE_MAX_ON_DEVICE_QUEUES
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_MAX_ON_DEVICE_EVENTS
public static final int CL_DEVICE_MAX_ON_DEVICE_EVENTS
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_SVM_CAPABILITIES
public static final int CL_DEVICE_SVM_CAPABILITIES
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_GLOBAL_VARIABLE_PREFERRED_TOTAL_SIZE
public static final int CL_DEVICE_GLOBAL_VARIABLE_PREFERRED_TOTAL_SIZE
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_MAX_PIPE_ARGS
public static final int CL_DEVICE_MAX_PIPE_ARGS
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_PIPE_MAX_ACTIVE_RESERVATIONS
public static final int CL_DEVICE_PIPE_MAX_ACTIVE_RESERVATIONS
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_PIPE_MAX_PACKET_SIZE
public static final int CL_DEVICE_PIPE_MAX_PACKET_SIZE
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_PREFERRED_PLATFORM_ATOMIC_ALIGNMENT
public static final int CL_DEVICE_PREFERRED_PLATFORM_ATOMIC_ALIGNMENT
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_PREFERRED_GLOBAL_ATOMIC_ALIGNMENT
public static final int CL_DEVICE_PREFERRED_GLOBAL_ATOMIC_ALIGNMENT
cl_device_info- See Also:
- Constant Field Values
-
CL_DEVICE_PREFERRED_LOCAL_ATOMIC_ALIGNMENT
public static final int CL_DEVICE_PREFERRED_LOCAL_ATOMIC_ALIGNMENT
cl_device_info- See Also:
- Constant Field Values
-
CL_QUEUE_ON_DEVICE
public static final int CL_QUEUE_ON_DEVICE
cl_command_queue_properties- See Also:
- Constant Field Values
-
CL_QUEUE_ON_DEVICE_DEFAULT
public static final int CL_QUEUE_ON_DEVICE_DEFAULT
cl_command_queue_properties- See Also:
- Constant Field Values
-
CL_DEVICE_SVM_COARSE_GRAIN_BUFFER
public static final int CL_DEVICE_SVM_COARSE_GRAIN_BUFFER
cl_device_svm_capabilities- See Also:
- Constant Field Values
-
CL_DEVICE_SVM_FINE_GRAIN_BUFFER
public static final int CL_DEVICE_SVM_FINE_GRAIN_BUFFER
cl_device_svm_capabilities- See Also:
- Constant Field Values
-
CL_DEVICE_SVM_FINE_GRAIN_SYSTEM
public static final int CL_DEVICE_SVM_FINE_GRAIN_SYSTEM
cl_device_svm_capabilities- See Also:
- Constant Field Values
-
CL_DEVICE_SVM_ATOMICS
public static final int CL_DEVICE_SVM_ATOMICS
cl_device_svm_capabilities- See Also:
- Constant Field Values
-
CL_QUEUE_SIZE
public static final int CL_QUEUE_SIZE
cl_command_queue_info- See Also:
- Constant Field Values
-
CL_MEM_SVM_FINE_GRAIN_BUFFER
public static final int CL_MEM_SVM_FINE_GRAIN_BUFFER
cl_svm_mem_flags- See Also:
- Constant Field Values
-
CL_MEM_SVM_ATOMICS
public static final int CL_MEM_SVM_ATOMICS
cl_svm_mem_flags- See Also:
- Constant Field Values
-
CL_MEM_OBJECT_PIPE
public static final int CL_MEM_OBJECT_PIPE
cl_mem_object_type- See Also:
- Constant Field Values
-
CL_MEM_USES_SVM_POINTER
public static final int CL_MEM_USES_SVM_POINTER
cl_mem_info- See Also:
- Constant Field Values
-
CL_sRGB
public static final int CL_sRGB
cl_channel_order- See Also:
- Constant Field Values
-
CL_sRGBx
public static final int CL_sRGBx
cl_channel_order- See Also:
- Constant Field Values
-
CL_sRGBA
public static final int CL_sRGBA
cl_channel_order- See Also:
- Constant Field Values
-
CL_sBGRA
public static final int CL_sBGRA
cl_channel_order- See Also:
- Constant Field Values
-
CL_ABGR
public static final int CL_ABGR
cl_channel_order- See Also:
- Constant Field Values
-
CL_PIPE_PACKET_SIZE
public static final int CL_PIPE_PACKET_SIZE
cl_pipe_info- See Also:
- Constant Field Values
-
CL_PIPE_MAX_PACKETS
public static final int CL_PIPE_MAX_PACKETS
cl_pipe_info- See Also:
- Constant Field Values
-
CL_SAMPLER_MIP_FILTER_MODE
public static final int CL_SAMPLER_MIP_FILTER_MODE
cl_sampler_info- See Also:
- Constant Field Values
-
CL_SAMPLER_LOD_MIN
public static final int CL_SAMPLER_LOD_MIN
cl_sampler_info- See Also:
- Constant Field Values
-
CL_SAMPLER_LOD_MAX
public static final int CL_SAMPLER_LOD_MAX
cl_sampler_info- See Also:
- Constant Field Values
-
CL_PROGRAM_BUILD_GLOBAL_VARIABLE_TOTAL_SIZE
public static final int CL_PROGRAM_BUILD_GLOBAL_VARIABLE_TOTAL_SIZE
cl_program_build_info- See Also:
- Constant Field Values
-
CL_KERNEL_ARG_TYPE_PIPE
public static final int CL_KERNEL_ARG_TYPE_PIPE
cl_kernel_arg_type_qualifier- See Also:
- Constant Field Values
-
CL_KERNEL_EXEC_INFO_SVM_PTRS
public static final int CL_KERNEL_EXEC_INFO_SVM_PTRS
cl_kernel_exec_info- See Also:
- Constant Field Values
-
CL_KERNEL_EXEC_INFO_SVM_FINE_GRAIN_SYSTEM
public static final int CL_KERNEL_EXEC_INFO_SVM_FINE_GRAIN_SYSTEM
cl_kernel_exec_info- See Also:
- Constant Field Values
-
CL_COMMAND_SVM_FREE
public static final int CL_COMMAND_SVM_FREE
cl_command_type- See Also:
- Constant Field Values
-
CL_COMMAND_SVM_MEMCPY
public static final int CL_COMMAND_SVM_MEMCPY
cl_command_type- See Also:
- Constant Field Values
-
CL_COMMAND_SVM_MEMFILL
public static final int CL_COMMAND_SVM_MEMFILL
cl_command_type- See Also:
- Constant Field Values
-
CL_COMMAND_SVM_MAP
public static final int CL_COMMAND_SVM_MAP
cl_command_type- See Also:
- Constant Field Values
-
CL_COMMAND_SVM_UNMAP
public static final int CL_COMMAND_SVM_UNMAP
cl_command_type- See Also:
- Constant Field Values
-
CL_PROFILING_COMMAND_COMPLETE
public static final int CL_PROFILING_COMMAND_COMPLETE
cl_profiling_info- See Also:
- Constant Field Values
-
-
Method Detail
-
clCreateCommandQueueWithProperties
public static long clCreateCommandQueueWithProperties(long context, long device, java.nio.LongBuffer properties, java.nio.IntBuffer errcode_ret)
Creates a host or device command-queue on a specific device.OpenCL objects such as memory, program and kernel objects are created using a context. Operations on these objects are performed using a command-queue. The command-queue can be used to queue a set of operations (referred to as commands) in order. Having multiple command-queues allows applications to queue multiple independent commands without requiring synchronization. Note that this should work as long as these objects are not being shared. Sharing of objects across multiple command-queues will require the application to perform appropriate synchronization.
- Parameters:
context
- a valid OpenCL contextdevice
- a device associated with context. It can either be in the list of devices specified when context is created usingCreateContext
or have the same device type as device type specified when context is created usingCreateContextFromType
.properties
- a list of properties for the command-queue and their corresponding values. Each property name is immediately followed by the corresponding desired value. The list is terminated with0
. If a supported property and its value is not specified in properties, its default value will be used.properties
can beNULL
in which case the default values for supported command-queue properties will be used. One of:QUEUE_PROPERTIES
QUEUE_SIZE
errcode_ret
- will return an appropriate error code. Iferrcode_ret
isNULL
, no error code is returned.- Returns:
- a valid non-zero command-queue and
errcode_ret
is set toSUCCESS
if the command-queue is created successfully. Otherwise, it returns aNULL
value with one of the following error values returned inerrcode_ret
:INVALID_CONTEXT
ifcontext
is not a valid context.INVALID_DEVICE
ifdevice
is not a valid device or is not associated withcontext
.INVALID_VALUE
if values specified inproperties
are not valid.INVALID_QUEUE_PROPERTIES
if values specified inproperties
are valid but are not supported by the device.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clCreatePipe
public static long clCreatePipe(long context, long flags, int pipe_packet_size, int pipe_max_packets, java.nio.IntBuffer properties, java.nio.IntBuffer errcode_ret)
Creates a pipe object.- Parameters:
context
- a valid OpenCL context used to create the pipe objectflags
- a bit-field that is used to specify allocation and usage information such as the memory arena that should be used to allocate the pipe object and how it will be used. If value specified for flags is 0, the default is used which isMEM_READ_WRITE
.pipe_packet_size
- the size in bytes of a pipe packetpipe_max_packets
- the pipe capacity by specifying the maximum number of packets the pipe can holdproperties
- a list of properties for the pipe and their corresponding values. Each property name is immediately followed by the corresponding desired value. The list is terminated with0
. In OpenCL 2.0,properties
must beNULL
.errcode_ret
- will return an appropriate error code. Iferrcode_ret
isNULL
, no error code is returned.- Returns:
- a valid non-zero pipe object and
errcode_ret
is set toSUCCESS
if the pipe object is created successfully. Otherwise, it returns aNULL
value with one of the following error values returned inerrcode_ret
:INVALID_CONTEXT
ifcontext
is not a valid context.INVALID_VALUE
if values specified inflags
are invalid.INVALID_VALUE
ifproperties
is notNULL
.INVALID_PIPE_SIZE
ifpipe_packet_size
is0
or thepipe_packet_size
exceedsDEVICE_PIPE_MAX_PACKET_SIZE
value for all devices incontext
or ifpipe_max_packets
is0
.MEM_OBJECT_ALLOCATION_FAILURE
if there is a failure to allocate memory for the pipe object.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clGetPipeInfo
public static int clGetPipeInfo(long pipe, int param_name, java.nio.ByteBuffer param_value, PointerBuffer param_value_size_ret)
Queries information specific to a pipe object.- Parameters:
pipe
- the pipe object being queriedparam_name
- the information to queryparam_value
- a pointer to memory where the appropriate result being queried is returned. Ifparam_value
isNULL
, it is ignored.param_value_size_ret
- the actual size in bytes of data being queried byparam_value
. IfNULL
, it is ignored.- Returns:
SUCCESS
if the function is executed successfully. Otherwise, it returns one of the following errors:INVALID_VALUE
ifparam_name
is not valid, or if size in bytes specified byparam_value_size
is < size of return type andparam_value
is notNULL
.INVALID_MEM_OBJECT
ifpipe
is not a valid pipe object.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clGetPipeInfo
public static int clGetPipeInfo(long pipe, int param_name, java.nio.IntBuffer param_value, PointerBuffer param_value_size_ret)
IntBuffer version of:GetPipeInfo
-
clSVMAlloc
public static java.nio.ByteBuffer clSVMAlloc(long context, long flags, long size, int alignment)
Allocates a shared virtual memory buffer (referred to as a SVM buffer) that can be shared by the host and all devices in an OpenCL context that support shared virtual memory.If
MEM_SVM_FINE_GRAIN_BUFFER
is not specified, the buffer can be created as a coarse grained SVM allocation. Similarly, ifMEM_SVM_ATOMICS
is not specified, the buffer can be created without support for the OpenCL 2.0 SVM atomic operations.Calling
SVMAlloc
does not itself provide consistency for the shared memory region. When the host can't use the SVM atomic operations, it must rely on OpenCL's guaranteed memory consistency at synchronization points. To initialize a buffer to be shared with a kernel, the host can create the buffer and use the resulting virtual memory pointer to initialize the buffer's contents.For SVM to be used efficiently, the host and any devices sharing a buffer containing virtual memory pointers should have the same endianness. If the context passed to
SVMAlloc
has devices with mixed endianness and the OpenCL implementation is unable to implement SVM because of that mixed endianness,SVMAlloc
will fail and returnNULL
.Although SVM is generally not supported for image objects,
CreateImage
may create an image from a buffer (a 1D image from a buffer or a 2D image from buffer) if the buffer specified in its image description parameter is a SVM buffer. Such images have a linear memory representation so their memory can be shared using SVM. However, fine grained sharing and atomics are not supported for image reads and writes in a kernel.If
CreateBuffer
is called with a pointer returned bySVMAlloc
as itshost_ptr
argument, andMEM_USE_HOST_PTR
is set in itsflags
argument,CreateBuffer
will succeed and return a valid non-zero buffer object as long as thesize
argument toCreateBuffer
is no larger than thesize
argument passed in the originalSVMAlloc
call. The new buffer object returned has the shared memory as the underlying storage. Locations in the buffer's underlying shared memory can be operated on using, e.g., atomic operations if the device supports them.- Parameters:
context
- a valid OpenCL context used to create the SVM bufferflags
- a bit-field that is used to specify allocation and usage information. One of:MEM_READ_WRITE
MEM_WRITE_ONLY
MEM_READ_ONLY
MEM_SVM_FINE_GRAIN_BUFFER
MEM_SVM_ATOMICS
size
- the size in bytes of the SVM buffer to be allocatedalignment
- the minimum alignment in bytes that is required for the newly created buffer's memory region. It must be a power of two up to the largest data type supported by the OpenCL device. For the full profile, the largest data type islong16
. For the embedded profile, it islong16
if the device supports 64-bit integers; otherwise it isint16
. If alignment is0
, a default alignment will be used that is equal to the size of largest data type supported by the OpenCL implementation.- Returns:
- a valid non-
NULL
shared virtual memory address if the SVM buffer is successfully allocated. Otherwise, likemalloc
, it returns aNULL
pointer value.SVMAlloc
will fail if:context
is not a valid context.flags
does not containMEM_SVM_FINE_GRAIN_BUFFER
but does containMEM_SVM_ATOMICS
.- Values specified in
flags
do not follow rules for supported values. MEM_SVM_FINE_GRAIN_BUFFER
orMEM_SVM_ATOMICS
is specified in flags and these are not supported by at least one device in context.- The values specified in
flags
are not valid. size
is0
or >DEVICE_MAX_MEM_ALLOC_SIZE
value for any device in context.alignment
is not a power of two or the OpenCL implementation cannot support the specified alignment for at least one device in context.- There was a failure to allocate resources.
-
clSVMFree
public static void clSVMFree(long context, java.nio.ByteBuffer svm_pointer)
Frees a shared virtual memory buffer allocated usingSVMAlloc
.Note that
SVMFree
does not wait for previously enqueued commands that may be usingsvm_pointer
to finish before freeingsvm_pointer
. It is the responsibility of the application to make sure that enqueued commands that usesvm_pointer
have finished before freeingsvm_pointer
. This can be done by enqueuing a blocking operation such asFinish
,WaitForEvents
,EnqueueReadBuffer
or by registering a callback with the events associated with enqueued commands and when the last enqueued command has finished freeingsvm_pointer
.The behavior of using
svm_pointer
after it has been freed is undefined. In addition, if a buffer object is created usingCreateBuffer
withsvm_pointer
, the buffer object must first be released before thesvm_pointer
is freed.- Parameters:
context
- a valid OpenCL context used to create the SVM buffersvm_pointer
- must be the value returned by a call toSVMAlloc
. If aNULL
pointer is passed insvm_pointer
, no action occurs.
-
clEnqueueSVMFree
public static int clEnqueueSVMFree(long command_queue, PointerBuffer svm_pointers, CLSVMFreeCallbackI pfn_free_func, java.nio.ByteBuffer user_data, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command to free the shared virtual memory buffer allocated usingSVMAlloc
or a shared system memory pointer.- Parameters:
command_queue
- a valid host command-queuesvm_pointers
- the shared virtual memory pointers to be freed. Each pointer insvm_pointers
that was allocated usingSVMAlloc
must have been allocated from the same context from whichcommand_queue
was created. The memory associated withsvm_pointers
can be reused or freed after the function returns.pfn_free_func
- the callback function to be called to free the SVM pointers. If pfn_free_func isNULL
, all pointers specified insvm_pointers
must be allocated usingSVMAlloc
and the OpenCL implementation will free these SVM pointers.pfn_free_func
must be a valid callback function if any SVM pointer to be freed is a shared system memory pointer i.e. not allocated usingSVMAlloc
. Ifpfn_free_func
is a valid callback function, the OpenCL implementation will callpfn_free_func
to free all the SVM pointers specified insvm_pointers
.user_data
- will be passed as theuser_data
argument whenpfn_free_func
is called.user_data
can beNULL
.event_wait_list
- a list of events that need to complete before this particular command can be executed. Ifevent_wait_list
isNULL
, then this particular command does not wait on any event to complete. The events specified inevent_wait_list
act as synchronization points. The context associated with events inevent_wait_list
andcommand_queue
must be the same.event
- Returns an event object that identifies this particular command and can be used to query or queue a wait for this particular command to complete.event
can beNULL
in which case it will not be possible for the application to query the status of this command or queue a wait for this command to complete. If theevent_wait_list
and theevent
arguments are notNULL
, the event argument should not refer to an element of theevent_wait_list
array.- Returns:
SUCCESS
if the function is executed successfully. Otherwise, it returns one of the following errors:INVALID_COMMAND_QUEUE
ifcommand_queue
is not a valid command-queue.INVALID_VALUE
ifnum_svm_pointers
is0
or ifsvm_pointers
isNULL
or if any of the pointers specified insvm_pointers
array isNULL
.INVALID_EVENT_WAIT_LIST
ifevent_wait_list
isNULL
andnum_events_in_wait_list
> 0, orevent_wait_list
is notNULL
andnum_events_in_wait_list
is 0, or if event objects inevent_wait_list
are not valid events.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clEnqueueSVMMemcpy
public static int clEnqueueSVMMemcpy(long command_queue, int blocking_copy, java.nio.ByteBuffer dst_ptr, java.nio.ByteBuffer src_ptr, long size, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command to do amemcpy
operation.If
dst_ptr
and/orsrc_ptr
are allocated usingSVMAlloc
then they must be allocated from the same context from whichcommand_queue
was created. Otherwise the behavior is undefined.- Parameters:
command_queue
- the host command-queue in which the read / write command will be queuedblocking_copy
- indicates if the copy operation is blocking or non-blocking.If
blocking_copy
isTRUE
i.e. the copy command is blocking,EnqueueSVMMemcpy
does not return until the buffer data has been copied into memory pointed to bydst_ptr
.If
blocking_copy
isFALSE
i.e. the copy command is non-blocking,EnqueueSVMMemcpy
queues a non-blocking copy command and returns. The contents of the buffer thatdst_ptr
point to cannot be used until the copy command has completed. The event argument returns an event object which can be used to query the execution status of the read command. When the copy command has completed, the contents of the buffer thatdst_ptr
points to can be used by the application.dst_ptr
- the pointer to a memory region where data is copied tosrc_ptr
- the pointer to a memory region where data is copied fromsize
- the size in bytes of data being copiedevent_wait_list
- a list of events that need to complete before this particular command can be executed. Ifevent_wait_list
isNULL
, then this particular command does not wait on any event to complete. The events specified inevent_wait_list
act as synchronization points. The context associated with events inevent_wait_list
andcommand_queue
must be the same.event
- Returns an event object that identifies this particular command and can be used to query or queue a wait for this particular command to complete.event
can beNULL
in which case it will not be possible for the application to query the status of this command or queue a wait for this command to complete. If theevent_wait_list
and theevent
arguments are notNULL
, the event argument should not refer to an element of theevent_wait_list
array.- Returns:
SUCCESS
if the function is executed successfully. Otherwise, it returns one of the following errors:INVALID_COMMAND_QUEUE
ifcommand_queue
is not a valid command-queue.INVALID_CONTEXT
if the context associated withcommand_queue
and events inevent_wait_list
are not the same.INVALID_EVENT_WAIT_LIST
ifevent_wait_list
isNULL
andnum_events_in_wait_list
> 0, orevent_wait_list
is notNULL
andnum_events_in_wait_list
is 0, or if event objects inevent_wait_list
are not valid events.EXEC_STATUS_ERROR_FOR_EVENTS_IN_WAIT_LIST
if the copy operation is blocking and the execution status of any of the events inevent_wait_list
is a negative integer value.INVALID_VALUE
ifdst_ptr
orsrc_ptr
areNULL
.INVALID_VALUE
ifsize
is0
.MEM_COPY_OVERLAP
if the values specified fordst_ptr
,src_ptr
andsize
result in an overlapping copy.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clEnqueueSVMMemFill
public static int clEnqueueSVMMemFill(long command_queue, java.nio.ByteBuffer svm_ptr, java.nio.ByteBuffer pattern, long size, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command to fill a region in memory with a pattern of a given pattern size.- Parameters:
command_queue
- the host command-queue in which the fill command will be queuedsvm_ptr
- a pointer to a memory region that will be filled with pattern. It must be aligned topattern_size
bytes. Ifsvm_ptr
is allocated usingSVMAlloc
then it must be allocated from the same context from whichcommand_queue
was created. Otherwise the behavior is undefined.pattern
- a pointer to the data pattern of sizepattern_size
in bytes.pattern
will be used to fill a region in buffer starting atsvm_ptr
and issize
bytes in size. The data pattern must be a scalar or vector integer or floating-point data type supported by OpenCL. For example, if region pointed to bysvm_ptr
is to be filled with a pattern of float4 values, then pattern will be a pointer to acl_float4
value andpattern_size
will besizeof(cl_float4)
. The maximum value ofpattern_size
is the size of the largest integer or floating-point vector data type supported by the OpenCL device. The memory associated with pattern can be reused or freed after the function returns.size
- the size in bytes of region being filled starting withsvm_ptr
and must be a multiple ofpattern_size
event_wait_list
- a list of events that need to complete before this particular command can be executed. Ifevent_wait_list
isNULL
, then this particular command does not wait on any event to complete. The events specified inevent_wait_list
act as synchronization points. The context associated with events inevent_wait_list
andcommand_queue
must be the same.event
- Returns an event object that identifies this particular command and can be used to query or queue a wait for this particular command to complete.event
can beNULL
in which case it will not be possible for the application to query the status of this command or queue a wait for this command to complete. If theevent_wait_list
and theevent
arguments are notNULL
, the event argument should not refer to an element of theevent_wait_list
array.- Returns:
SUCCESS
if the function is executed successfully. Otherwise, it returns one of the following errors:INVALID_COMMAND_QUEUE
ifcommand_queue
is not a valid command-queue.INVALID_CONTEXT
if the context associated withcommand_queue
and events inevent_wait_list
are not the same.INVALID_VALUE
ifsvm_ptr
isNULL
.INVALID_VALUE
ifsvm_ptr
is not aligned topattern_size
bytes.INVALID_VALUE
ifpattern
isNULL
or ifpattern_size
is0
or ifpattern_size
is not one of{1, 2, 4, 8, 16, 32, 64, 128}
.INVALID_VALUE
ifsize
is0
or is not a multiple ofpattern_size
.INVALID_EVENT_WAIT_LIST
ifevent_wait_list
isNULL
andnum_events_in_wait_list
> 0, orevent_wait_list
is notNULL
andnum_events_in_wait_list
is 0, or if event objects inevent_wait_list
are not valid events.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clEnqueueSVMMap
public static int clEnqueueSVMMap(long command_queue, int blocking_map, long map_flags, java.nio.ByteBuffer svm_ptr, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command that will allow the host to update a region of a SVM buffer. Note that since we are enqueuing a command with a SVM buffer, the region is already mapped in the host address space.- Parameters:
command_queue
- a valid host command-queueblocking_map
- indicates if the map operation is blocking or non-blocking.If
blocking_map
isTRUE
,EnqueueSVMMap
does not return until the application can access the contents of the SVM region specified bysvm_ptr
andsize
on the host.If
blocking_map
isFALSE
i.e. map operation is non-blocking, the region specified bysvm_ptr
andsize
cannot be used until the map command has completed. The event argument returns an event object which can be used to query the execution status of the map command. When the map command is completed, the application can access the contents of the region specified bysvm_ptr
andsize
.map_flags
- a bit-fieldsvm_ptr
- a pointer to a memory region andsize
in bytes that will be updated by the host. Ifsvm_ptr
is allocated usingSVMAlloc
then it must be allocated from the same context from whichcommand_queue
was created. Otherwise the behavior is undefined.event_wait_list
- a list of events that need to complete before this particular command can be executed. Ifevent_wait_list
isNULL
, then this particular command does not wait on any event to complete. The events specified inevent_wait_list
act as synchronization points. The context associated with events inevent_wait_list
andcommand_queue
must be the same.event
- Returns an event object that identifies this particular command and can be used to query or queue a wait for this particular command to complete.event
can beNULL
in which case it will not be possible for the application to query the status of this command or queue a wait for this command to complete. If theevent_wait_list
and theevent
arguments are notNULL
, the event argument should not refer to an element of theevent_wait_list
array.- Returns:
SUCCESS
if the function is executed successfully. Otherwise, it returns one of the following errors:INVALID_COMMAND_QUEUE
ifcommand_queue
is not a valid command-queue.INVALID_CONTEXT
if context associated withcommand_queue
and events inevent_wait_list
are not the same.INVALID_VALUE
ifsvm_ptr
isNULL
.INVALID_VALUE
ifsize
is0
or if values specified inmap_flags
are not valid.INVALID_EVENT_WAIT_LIST
ifevent_wait_list
isNULL
andnum_events_in_wait_list
> 0, orevent_wait_list
is notNULL
andnum_events_in_wait_list
is 0, or if event objects inevent_wait_list
are not valid events.EXEC_STATUS_ERROR_FOR_EVENTS_IN_WAIT_LIST
if the map operation is blocking and the execution status of any of the events inevent_wait_list
is a negative integer value.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clEnqueueSVMUnmap
public static int clEnqueueSVMUnmap(long command_queue, java.nio.ByteBuffer svm_ptr, PointerBuffer event_wait_list, PointerBuffer event)
Enqueues a command to indicate that the host has completed updating the region given bysvm_ptr
and which was specified in a previous call toEnqueueSVMMap
.- Parameters:
command_queue
- a valid host command-queuesvm_ptr
- a pointer that was specified in a previous call toEnqueueSVMMap
. Ifsvm_ptr
is allocated usingSVMAlloc
then it must be allocated from the same context from whichcommand_queue
was created. Otherwise the behavior is undefined.event_wait_list
- a list of events that need to complete before this particular command can be executed. Ifevent_wait_list
isNULL
, then this particular command does not wait on any event to complete. The events specified inevent_wait_list
act as synchronization points. The context associated with events inevent_wait_list
andcommand_queue
must be the same.event
- Returns an event object that identifies this particular command and can be used to query or queue a wait for this particular command to complete.event
can beNULL
in which case it will not be possible for the application to query the status of this command or queue a wait for this command to complete. If theevent_wait_list
and theevent
arguments are notNULL
, the event argument should not refer to an element of theevent_wait_list
array.- Returns:
SUCCESS
if the function is executed successfully. Otherwise, it returns one of the following errors:INVALID_COMMAND_QUEUE
ifcommand_queue
is not a valid command-queue.INVALID_CONTEXT
if context associated withcommand_queue
and events inevent_wait_list
are not the same.INVALID_VALUE
ifsvm_ptr
isNULL
.INVALID_EVENT_WAIT_LIST
ifevent_wait_list
isNULL
andnum_events_in_wait_list
> 0, orevent_wait_list
is notNULL
andnum_events_in_wait_list
is 0, or if event objects inevent_wait_list
are not valid events.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clSetKernelArgSVMPointer
public static int clSetKernelArgSVMPointer(long kernel, int arg_index, java.nio.ByteBuffer arg_value)
Set a SVM pointer as the argument value for a specific argument of a kernel.- Parameters:
kernel
- a valid kernel objectarg_index
- the argument index. Arguments to the kernel are referred by indices that go from0
for the leftmost argument ton - 1
, wheren
is the total number of arguments declared by a kernel.arg_value
- the SVM pointer that should be used as the argument value for argument specified byarg_index
. The SVM pointer specified is the value used by all API calls that enqueue kernel (EnqueueNDRangeKernel
) until the argument value is changed by a call toSetKernelArgSVMPointer
forkernel
. The SVM pointer can only be used for arguments that are declared to be a pointer to global or constant memory. The SVM pointer value must be aligned according to the argument's type. For example, if the argument is declared to beglobal float4 *p
, the SVM pointer value passed forp
must be at a minimum aligned to afloat4
. The SVM pointer value specified as the argument value can be the pointer returned bySVMAlloc
or can be a pointer + offset into the SVM region.- Returns:
SUCCESS
if the function was executed successfully. Otherwise, it returns one of the following errors:INVALID_KERNEL
ifkernel
is not a valid kernel object.INVALID_ARG_INDEX
ifarg_index
is not a valid argument index.INVALID_ARG_VALUE
ifarg_value
specified is not a valid value.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clSetKernelExecInfo
public static int clSetKernelExecInfo(long kernel, int param_name, java.nio.ByteBuffer param_value)
Can be used to pass additional information other than argument values to a kernel.NOTES
1. Coarse-grain or fine-grain buffer SVM pointers used by a kernel which are not passed as a kernel arguments must be specified using
SetKernelExecInfo
withKERNEL_EXEC_INFO_SVM_PTRS
. For example, if SVM buffer A contains a pointer to another SVM buffer B, and the kernel dereferences that pointer, then a pointer to B must either be passed as an argument in the call to that kernel or it must be made available to the kernel usingSetKernelExecInfo
. For example, we might pass extra SVM pointers as follows:clSetKernelExecInfo(kernel, CL_KERNEL_EXEC_INFO_SVM_PTRS, num_ptrs * sizeof(void *), extra_svm_ptr_list);
Here
num_ptrs
specifies the number of additional SVM pointers whileextra_svm_ptr_list
specifies a pointer to memory containing those SVM pointers. When callingSetKernelExecInfo
withKERNEL_EXEC_INFO_SVM_PTRS
to specify pointers to non-argument SVM buffers as extra arguments to a kernel, each of these pointers can be the SVM pointer returned bySVMAlloc
or can be a pointer + offset into the SVM region. It is sufficient to provide one pointer for each SVM buffer used.2.
KERNEL_EXEC_INFO_SVM_FINE_GRAIN_SYSTEM
is used to indicate whether SVM pointers used by a kernel will refer to system allocations or not.KERNEL_EXEC_INFO_SVM_FINE_GRAIN_SYSTEM
=FALSE
indicates that the OpenCL implementation may assume that system pointers are not passed as kernel arguments and are not stored inside SVM allocations passed as kernel arguments.KERNEL_EXEC_INFO_SVM_FINE_GRAIN_SYSTEM
=TRUE
indicates that the OpenCL implementation must assume that system pointers might be passed as kernel arguments and/or stored inside SVM allocations passed as kernel arguments. In this case, if the device to which the kernel is enqueued does not support system SVM pointers,EnqueueNDRangeKernel
will return aINVALID_OPERATION
error. If none of the devices in the context associated with kernel support fine-grain system SVM allocations,SetKernelExecInfo
will return aINVALID_OPERATION
error.If
SetKernelExecInfo
has not been called with a value forKERNEL_EXEC_INFO_SVM_FINE_GRAIN_SYSTEM
, the default value is used for this kernel attribute. The default value depends on whether the device on which the kernel is enqueued supports fine-grain system SVM allocations. If so, the default value used isTRUE
(system pointers might be passed); otherwise, the default isFALSE
.- Parameters:
kernel
- the kernel object being queriedparam_name
- the information to be passed tokernel
. One of:KERNEL_EXEC_INFO_SVM_PTRS
KERNEL_EXEC_INFO_SVM_FINE_GRAIN_SYSTEM
param_value
- a pointer to memory where the appropriate values determined byparam_name
are specified- Returns:
SUCCESS
if the function is executed successfully. Otherwise, it returns one of the following errors:INVALID_KERNEL
ifkernel
is a not a valid kernel object.INVALID_VALUE
ifparam_name
is not valid, ifparam_value
isNULL
or if the size specified byparam_value_size
is not valid.INVALID_OPERATION
ifparam_name
=KERNEL_EXEC_INFO_SVM_FINE_GRAIN_SYSTEM
andparam_value
=TRUE
but no devices in context associated with kernel support fine-grain system SVM allocations.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clSetKernelExecInfo
public static int clSetKernelExecInfo(long kernel, int param_name, PointerBuffer param_value)
PointerBuffer version of:SetKernelExecInfo
-
clSetKernelExecInfo
public static int clSetKernelExecInfo(long kernel, int param_name, java.nio.IntBuffer param_value)
IntBuffer version of:SetKernelExecInfo
-
clCreateSamplerWithProperties
public static long clCreateSamplerWithProperties(long context, java.nio.IntBuffer sampler_properties, java.nio.IntBuffer errcode_ret)
Creates a sampler object.- Parameters:
context
- a valid OpenCL contextsampler_properties
- a list of sampler property names and their corresponding values. Each sampler property name is immediately followed by the corresponding desired value. The list is terminated with0
. If a supported property and its value is not specified insampler_properties
, its default value will be used.sampler_properties
can beNULL
in which case the default values for supported sampler properties will be used.errcode_ret
- will return an appropriate error code. Iferrcode_ret
isNULL
, no error code is returned.- Returns:
- a valid non-zero sampler object and
errcode_ret
is set toSUCCESS
if the sampler object is created successfully. Otherwise, it returns aNULL
value with one of the following error values returned inerrcode_ret
:INVALID_CONTEXT
ifcontext
is not a valid context.INVALID_VALUE
if the property name insampler_properties
is not a supported property name, if the value specified for a supported property name is not valid, or if the same property name is specified more than once.INVALID_OPERATION
if images are not supported by any device associated with context.OUT_OF_RESOURCES
if there is a failure to allocate resources required by the OpenCL implementation on the device.OUT_OF_HOST_MEMORY
if there is a failure to allocate resources required by the OpenCL implementation on the host.
-
clCreateCommandQueueWithProperties
public static long clCreateCommandQueueWithProperties(long context, long device, long[] properties, int[] errcode_ret)
Array version of:CreateCommandQueueWithProperties
-
clCreatePipe
public static long clCreatePipe(long context, long flags, int pipe_packet_size, int pipe_max_packets, int[] properties, int[] errcode_ret)
Array version of:CreatePipe
-
clGetPipeInfo
public static int clGetPipeInfo(long pipe, int param_name, int[] param_value, PointerBuffer param_value_size_ret)
int[] version of:GetPipeInfo
-
clSetKernelExecInfo
public static int clSetKernelExecInfo(long kernel, int param_name, int[] param_value)
int[] version of:SetKernelExecInfo
-
clCreateSamplerWithProperties
public static long clCreateSamplerWithProperties(long context, int[] sampler_properties, int[] errcode_ret)
Array version of:CreateSamplerWithProperties
-
-


Abominable
A computer generated animated adventure film produced by Dreamwork animation and Pearl studios. Written and directed by Todd WIlderman , starring the roles of Chloe Bennet ,Albert Tsai among others. The animation follows a teenage girl named Yi who encounters a young Yeti on the prior of her apartment building in Shanghai and names him Everest.She embarks on a journey to reunite the magical creature with its family at the highest point on earth with her mischievous friends Jin and Peng but the trio of friends will have to stay away one step ahead of Burush a wealthy businessman intent to capture the Yeti together with zoologist Dr.Zara who wants to mint money by showing it off to the world.Will they make it to send it home?.Make sure to watch it and know how things align.
Based on the reviews by the Tomatometer, the show gets an 81% rating out of the 166 reviews conducted.Also with an audience score of 95% of other 5000+ ratings. Making it one of your favourite shows to watch out this summer.
A babysitter's guide to monster hunting.
An american family horror film directed by Rachel Talaky distributed by Netflix and written by Joe Ballarni ,starring Shiya Moore among others. Betty Fergusson a babysitter on a mission finds the child in her care who has been kidnapped by the Boogeyman on a halloween night discovering that a secret society of baby sitters exists to fight an entire world of monsters.
Based on reviews by tomatometer, the show performs fairly with a 81% rating out of the 18 reviews done.ALso not a bad movie to spend during the vacation.
Feel the Beat.
An american dance drame-dy directed by Elissa Down, written by Shwawn Ku,starring Sofia Casson , Enrica Colantoni among others. The story revolves around April , a young dancer seeking success in broadway auditions for a dance competition making it successfully hence meeting other dancers to form a dance crew known as Newhope dancers comprised of Zuzu(deaf girl), Lucia(very forgetful girl), Dicky, Sarah, Jane and Michelle.She takes the coaching lead of the team and encourages them till she performs on Willy Wong's show in Newyork realising her childhood dream of being a dancer.Later she starts her own live dance classes on Livechat.Good show to watch and spend some time with friends and family.
Not so bad review based on the tomatometer with 77% rating out of the 15 reviews conducted with an audience score of 66% of over 100+ ratings conducted. Quite encouraging reviews to escape that blazing hot mean sun during summer with some milkshake and popcorns.
The Willoughbys.
Revolves around the story of the Willoughbys, once a loving and adventurous family for generations who suddenly neglect their four children due to confrontations hence not fulfilling their responsibilities.The neglected kids find themselves in a foster family adopted by Linda who was their nanny to live with them in her candy factory as a loving family whereas Mr and Mrs Willoughbys are devoured by a shark when their dirigible crashes.
Good rating with 91% rating out of the 65 reviews conducted by tomatometer and an audience score of 64% not so bad.What are you waiting for, get a copy and turn your living room into a cinema.
Kaya and the last Dragon.
An american computer animated action film produced and distributed by Walt disney pictures ,animation studios and Walt Disney studios motion pictures. Revolves around Raya the daughter to chief Benja who tries to guard the orb created by the dragons of Kumandra to ward off Druun(evil spirits) that petrify the people of Kumandra absorbing their life force dividing them into tribes based on their placement along a giant river that resembles a dragon. Kaya is tasked with reuniting the tribes.Will she fulfill the task?
Great rating with 95% out of 240 reviews conducted on Tomatometer with an audience score of 83% of over 1000+ ratings.No excuse folks, do what is necessary and grab a copy.


{% extends "base.html" %} {% block title %}ChemSchematicResolver{% endblock %} {% block content %} A tool to extract chemical structures from schematic diagrams Learn more Identify relevant images using ChemDataExtractor. Identify regions corresponding to labels and diagrams. Resolve diagrams to SMILES and labels to text. Try our online demo to see it in action Try it now {{utils.icon('chevron-right')}} {% endblock %}


Experienced Web Developer with a demonstrated history of working in the computer software industry. Skilled in Computer Science, Full-Stack Development, and React.js. Strong engineering professional with a Computer Science certificate from Harvard University and a Master's degree focused in Music Performance from “Hanns Eisler” Music Academy - Berlin, Germany.
View some of my Projects
This project implements the Unsplash API to generate an infinite scroll of beautiful high quality pictures. You can click on any of them to find out details and to save the pictures in various sizes.
A project that was really fun to make. My website is presenting you a friendly robot that every time that you press the button it will tell you a different joke related to computer science. Hope that you can catch some of the jokes even if you are not a geek.
Some of the quotes are really profound. You can use this website to get as many quotes as you like, or maybe just one quote to let you meditate about it for the whole day. It's up to you. A lot of wisdom at the push of a single virtual button. Sounds great, right?
A simple but beautiful calculator that works directly in your web browser. It was built using HTML, CSS and JavaScript. I used a gradient for the background and big buttons, so you can clearly type on them. Ok, now it's your turn to use it and see where did you go over your budget this month.
I was always fascinated by planets, stars, galaxies, black holes and everything else related to the universe. So many questions and not so many certain answers. This website will feed you a huge amount of amazing photos from the NASA API. Go take a look!