Lets say that I have an allocation where I want to change the value at cell x_0,y_0.Is there a way to either make a call that sets or gets the value of a cell or to run a kernel function that only runs for one cell?
You should probably use rsSetElementAt_uchar4() or whatever data type it is that you are setting. http://developer.android.com/guide/topics/renderscript/reference/rs_allocation_data.html#android_rs:rsSetElementAt is a guide for this.
Alternatively, you can do a single cell kernel call via Script.LaunchOptions (which should have a nice reflected interface in your ScriptC_* files).
http://developer.android.com/reference/android/renderscript/Script.LaunchOptions.html and http://developer.android.com/reference/android/renderscript/Script.html#forEach(int, android.renderscript.Allocation, android.renderscript.Allocation, android.renderscript.FieldPacker, android.renderscript.Script.LaunchOptions)
Related
I want to combine two Renderscript scripts into a scriptGroup. The first one is the ScriptIntrinsicBlur. Based on the blurred U8 allocation as input the second script calculates two things: gradient and gradient-direction. The latter is the formal out-Allocation of the second kernel. The first one is a global allocation filled via rsSetElementAt_float(). Now, I find this second allocation is returned empty after execution of the scriptGroup.
Question: Is my assumption correct that with a scriptGroup you cannot use script globals - or at least not change them via rsSetElementAt_(...)?
UPDATE: I realized that the performance gain by using U8 both as output of the ScriptIntrinsicBlur and as input of the proprietary kernel is already more than satisfactory, even in a simple sequential set-up of both scripts. This is primarily because it avoids to copyTo the ScriptIntrinsicBlur's out-Allocation first into a Java-array before passing it as a separate input-allocation to the 2nd kernel.
Before, I used U8_4 (i.e. Bitmap equivalent) as output of ScriptIntrinsicBlur, and then converted it to a one-dimensional greyscale int[] array, before passing it as in-Allocation to the proprietary kernel... Now I convert to greyscale byte[] (i.e. U8) already before entering the allocation into ScriptIntrinsicBlur and use U8 also as input for the 2nd kernel.
This is what I realize again and again when working with RS: it is really worth to simplify data flows to the extent possible, the speed gains are fantastic. (maybe I will check the Scriptgroup question at a later stage, as for now I am happy with the result).
There should be no issue with using a script global like this. It's not as efficient as the output allocation, but is possible. You mentioned the out allocation is empty, what are you seeing in the script global?
I will start this by saying that on iOS this algorithm takes, on average, <2 seconds to complete and given a simpler, more specific input that is the same between how I test it on iOS vs. Android it takes 0.09 seconds and 2.5 seconds respectively, and the Android version simply quits on me, no idea if that would be significantly longer. (The test data gives the sorting algorithm a relatively simple task)
More specifically, I have a HashMap (Using an NSMutableDictionary on iOS) that maps a unique key(Its a string of only integers called its course. For example: "12345") used to get specific sections under a course title. The hash map knows what course a specific section falls under because each section has a value "Course". Once they are retrieved these section objects are compared, to see if they can fit into a schedule together based on user input and their "timeBegin", "timeEnd", and "days" values.
For Example: If I asked for schedules with only the Course ABC1234(There are 50 different time slots or "sections" under that course title) and DEF5678(50 sections) it will iterate through the Hashmap to find every section that falls under those two courses. Then it will sort them into schedules of two classes each(one ABC1234 and one DEF5678) If no two courses have a conflict then a total of 2500(50*50) schedules are possible.
These "schedules" (Stored in ArrayLists since the number of user inputs varies from 1-8 and possible number of results varies from 1-100,000. The group of all schedules is a double ArrayList that looks like this ArrayList>. On iOS I use NSMutableArray) are then fed into the intent that is the next Activity. This Activity (Fragment techincally?) will be a pager that allows the user to scroll through the different combinations.
I copied the method of search and sort exactly as it is in iOS(This may not be the right thing to do since the languages and data structures may be fundamentally different) and it works correctly with small output but when it gets too large it can't handle it.
So is multithreading the answer? Should I use something other than a HashMap? Something other than ArrayLists? I only assume multithreading because the errors indicate that too much is being done on the main thread. I've also read that there is a limit to the size of data passed using Intents but I have no idea.
If I was unclear on anything feel free to ask for clarification. Also, I've been doing Android for ~2 weeks so I may completely off track but hopefully not, this is a fully functional and complete app in the iTunes Store already so I don't think I'm that far off. Thanks!
1) I think you should go with AsynTask of Android .The way it handle the View into `UI
threadandBackground threadfor operations (Like Sorting` ) is sufficient enough to help
you to get the Data Processed into Background thread And on Processing you can get the
Content on UI Thread.
Follow This ShorHand Example for This:
Example to Use Asyntask
2) Example(How to Proceed):
a) define your view into onPreExecute()
b) Do your Background Operation into doInBackground()
c) Get the Result into onPostExceute() and call the content for New Activty
Hope this could help...
I think it's better for you to use TreeMap instead of HashMap, which sorts data automatically everytime you mutate it. Therefore you won't have to sort your data before start another activity, you just pass it and that's all.
Also for using it you have to implement Comparable interface in your class which represents value of Map.
You can also read about TreeMap class there:
http://docs.oracle.com/javase/7/docs/api/java/util/TreeMap.html
Background
I'm new to renderscript, and I would like to try some experiments with it (but small ones and not the complex ones we find in the SDK), so I thought of an exercise to try out, which is based on a previous question of mine (using NDK).
What I want to do
In short, I would like to pass a bitmap data to renderscript, and then I would like it to copy the data to another bitmap that has the dimensions opposite to the previous one, so that the second bitmap would be a rotation of the first one.
For illustration:
From this bitmap (width:2 , height:4):
01
23
45
67
I would like it to rotate (counter clock-wise of 90 degrees) to:
1357
0246
The problem
I've noticed that when I try to change the signature of the root function, Eclipse gives me errors about it.
Even making new functions creates new errors. I've even tried the same code written on Google's blog (here ), but I couldn't find out how he got to create the functions he used, and how come I can't change the filter function to have the input and output bitmap arrays.
What can I do in order to customize the parameters I send to renderscript, and use the data inside it?
Is it ok not to use "filter" or "root" functions (API 11 and above)? What can I do in order to have more flexibility about what I can do there?
You are asking a bunch of separate questions here, so I will answer them in order.
1) You want to rotate a non-square bitmap. Unfortunately, the bitmap model for Renderscript won't allow you to do this easily. The reason for this is that that input and output allocations must have the same shape (i.e. same number of dimensions and values of those dimensions, even if the Types are different). In order to get the effect you want, you should use a root function that only has an output allocation of the new shape (i.e. input columns X input rows). You can create an rs_allocation global variable for holding your input bitmap (which you can then create/bind on the Java side). The kernel then merely needs to set the output cell to the result of rsGetElementAt(globalInAlloc, y, x).
2) If you are using API 11, you can't adjust the signature of the root() function (you can pass NULL allocations as input, output on the Java side if you are not using them). You also can't create more than 1 kernel per source file on these older API levels, so you are forced to only have a single "root()" function. If you want to use more kernels per source file, consider targeting a higher API level.
In a game for Android written in Scala, I have plenty of objects that I want to pool. First I tried to have both active (visible) and non active instances in the same pool; this was slow due to filtering that both causes GC and is slow.
So I moved to using two data structures, so when I need to get a free instance, I just take the first from the passive pool and add it to the active pool. I also fast random access to the active pool (when I need to hide an instance). I'm using two ArrayBuffers for this.
So my question is: which data structure would be best for this situation? And how should that (or those) specific data structure(s) be used to add and remove to avoid GC as much as possible and be efficient on Android (memory and cpu constraints)?
The best data structure is an internal list, where you add
var next: MyClass
to every class. The non-active instances then become what's typically called a "free list", while the active ones become a singly-linked list a la List.
This way your overhead is exactly one pointer per object (you can't really get any less than that), and there is no allocation or GC at all. (Unless you want to implement your own by throwing away part or all of the free list if it gets too long.)
You do lose some collections niceness, but you can just make your class be an iterator:
def hasNext = (next != null)
is all you need given that var. (Well, and extends Iterator[MyClass].) If your pool sizes are really quite small, sequential scanning will be fast enough.
If your active pool is too large for sequential scanning down a linked list and elements are not often added or deleted, then you should store them in an ArrayBuffer (which knows how to remove elements when needed). Once you remove an item, throw it on the free list.
If your active pool turns over rapidly (i.e. the number of adds/deletes is similar to the number of random accesses), then you need some sort of hierarchical structure. Scala provides an immutable one that works pretty well in Vector, but no mutable one (as of 2.9); Java also doesn't have something that's really suitable. If you wanted to build your own, a red-black or AVL tree with nodes that keep track of the number of left children is probably the way to go. (It's then a trivial matter to access by index.)
I guess I'll mention my idea. The filter and map methods iterate over the entire collection anyway, so you may as well simplify that and just do a naive scan over your collection (to look for active instances). See here: https://github.com/scala/scala/blob/v2.9.2/src/library/scala/collection/TraversableLike.scala
def filter(p: A => Boolean): Repr = {
val b = newBuilder
for (x <- this)
if (p(x)) b += x
b.result
}
I ran some tests, using a naive scan of n=31 (so I wouldn't have to keep more than a 32 bit Int bitmap), a filter/foreach scan, and a filter/map scan, and a bitmap scan, and randomly assigning 33% of the set to active. I had a running counter to double check that I wasn't cheating by not looking at the right values or something. By the way, this is not running on Android.
Depending on the number of active values, my loop took more time.
Results:
naive scanned a million times in: 197 ms (sanity check: 9000000)
filter/foreach scanned a million times in: 441 ms (sanity check: 9000000)
map scanned a million times in: 816 ms (sanity check: 9000000)
bitmap scanned a million times in: 351 ms (sanity check: 9000000)
Code here--feel free to rip it apart or tell me if there's a better way--I'm fairly new to scala so my feelings won't be hurt: https://github.com/wfreeman/ScalaScanPerformance/blob/master/src/main/scala/scanperformance/ScanPerformance.scala
This is probably an easy one. I have about 20 TextViews/ImageViews in my current project that I access like this:
((TextView)multiLayout.findViewById(R.id.GameBoard_Multi_Answer1_Text)).setText("");
//or
((ImageView)multiLayout.findViewById(R.id.GameBoard_Multi_Answer1_Right)).setVisibility(View.INVISIBLE);
My question is this, am I better off, from a performance standpoint, just assigning these object variables? Further, am I losing some performance to the constant "search" process that goes on as a part of the findViewById(...) method? (i.e. Does findsViewById(...) use some sort of hashtable/hashmap for look-ups or does it implement an iterative search over the view hierarchy?)
At present, my program never uses more than 2.5MB of RAM, so will assigning 20 or so more object variables drastically affect this? I don't think so, but I figured I'd ask.
Thanks.
Yes, this would be correct to cache references to the views. That's what the ListView's Tag/Holder is about which is there for performance reasons.