本文整理汇总了Java中com.nativelibs4java.opencl.CLMem类的典型用法代码示例。如果您正苦于以下问题：Java CLMem类的具体用法？Java CLMem怎么用？Java CLMem使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
CLMem类属于com.nativelibs4java.opencl包，在下文中一共展示了CLMem类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: kernel_14740318
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
public static void kernel_14740318(int paramInt1, int paramInt2, int paramInt3, int paramInt4, int[] paramArrayOfInt)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_14740318 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
int i = paramInt2;
int j = paramInt3;
int k = paramInt4;
CLBuffer localCLBuffer = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToInts(paramArrayOfInt), true);
localCLKernel.setArgs(new Object[] { paramInt1, i, j, k, localCLBuffer });
int m = paramInt1 - paramInt4 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { m }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer.read(localCLQueue, new CLEvent[] { localCLEvent }).getInts(paramArrayOfInt);
}
示例2: kernel_20211761
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
public static void kernel_20211761(int paramInt1, int paramInt2, int paramInt3, float paramFloat1, short[] paramArrayOfShort, int paramInt4, int paramInt5, float paramFloat2) {
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_20211761 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
int i = paramInt2;
int j = paramInt3;
float f1 = paramFloat1;
CLBuffer localCLBuffer = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToShorts(paramArrayOfShort), true);
int k = paramInt4;
int m = paramInt5;
float f2 = paramFloat2;
localCLKernel.setArgs(new Object[] { paramInt1, i, j, f1, localCLBuffer, k, m, f2 });
int n = paramInt1 - paramInt5 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { n }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer.read(localCLQueue, new CLEvent[] { localCLEvent }).getShorts(paramArrayOfShort);
}
示例3: kernel_14309029
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
public static void kernel_14309029(int paramInt1, int paramInt2, int paramInt3, int paramInt4, byte[] paramArrayOfByte1, int paramInt5, int paramInt6, int paramInt7, float[] paramArrayOfFloat, byte[] paramArrayOfByte2) {
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_14309029 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
int i = paramInt2;
int j = paramInt3;
int k = paramInt4;
CLBuffer localCLBuffer1 = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToBytes(paramArrayOfByte1), true);
int m = paramInt5;
int n = paramInt6;
int i1 = paramInt7;
CLBuffer localCLBuffer2 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToFloats(paramArrayOfFloat), true);
CLBuffer localCLBuffer3 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToBytes(paramArrayOfByte2), true);
localCLKernel.setArgs(new Object[] { paramInt1, i, j, k, localCLBuffer1, m, n, i1, localCLBuffer2, localCLBuffer3 });
int i2 = paramInt1 - paramInt4 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { i2 }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer1.read(localCLQueue, new CLEvent[] { localCLEvent }).getBytes(paramArrayOfByte1);
}
示例4: kernel_332684807
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
public void kernel_332684807(int paramInt1, int paramInt2, int paramInt3, float[] paramArrayOfFloat1, int paramInt4, int paramInt5, float[] paramArrayOfFloat2, float[] paramArrayOfFloat3)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_332684807 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
int i = paramInt3;
CLBuffer localCLBuffer1 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToFloats(paramArrayOfFloat1), true);
int j = paramInt4;
int k = paramInt5;
CLBuffer localCLBuffer2 = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToFloats(paramArrayOfFloat2), true);
CLBuffer localCLBuffer3 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToFloats(paramArrayOfFloat3), true);
localCLKernel.setArgs(new Object[] { paramInt1, paramInt2, i, localCLBuffer1, j, k, localCLBuffer2, localCLBuffer3 });
int m = paramInt1 - paramInt5 / 1;
int n = paramInt2 - paramInt4 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { m, n }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer2.read(localCLQueue, new CLEvent[] { localCLEvent }).getFloats(paramArrayOfFloat2);
}
示例5: kernel_1365023967
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
public static void kernel_1365023967(int paramInt1, float[] paramArrayOfFloat1, float[] paramArrayOfFloat2, int paramInt2)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_1365023967 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
CLBuffer localCLBuffer1 = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToFloats(paramArrayOfFloat1), true);
CLBuffer localCLBuffer2 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToFloats(paramArrayOfFloat2), true);
int i = paramInt2;
localCLKernel.setArgs(new Object[] { paramInt1, localCLBuffer1, localCLBuffer2, i });
int j = paramInt1 - paramInt2 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { j }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer1.read(localCLQueue, new CLEvent[] { localCLEvent }).getFloats(paramArrayOfFloat1);
}
示例6: kernel_1387062610
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
public static void kernel_1387062610(int paramInt1, int paramInt2, float paramFloat1, float[] paramArrayOfFloat1, float paramFloat2, int paramInt3, float[] paramArrayOfFloat2, float paramFloat3)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_1387062610 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
int i = paramInt2;
float f1 = paramFloat1;
CLBuffer localCLBuffer1 = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToFloats(paramArrayOfFloat1), true);
float f2 = paramFloat2;
int j = paramInt3;
CLBuffer localCLBuffer2 = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToFloats(paramArrayOfFloat2), true);
float f3 = paramFloat3;
localCLKernel.setArgs(new Object[] { paramInt1, i, f1, localCLBuffer1, f2, j, localCLBuffer2, f3 });
int k = paramInt1 - paramInt2 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { k }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer1.read(localCLQueue, new CLEvent[] { localCLEvent }).getFloats(paramArrayOfFloat1);
localCLBuffer2.read(localCLQueue, new CLEvent[] { localCLEvent }).getFloats(paramArrayOfFloat2);
}
示例7: testStructs
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
@Test
public void testStructs() throws IOException {
Structs.S s = new Structs.S();
Pointer<Structs.S> pS = Pointer.getPointer(s);
CLBuffer<Structs.S> b = context.createBuffer(CLMem.Usage.InputOutput, pS);
CLEvent e = structs.f(queue, b, new int[] { 1 }, null);
b.read(queue, pS, true, e);
assertEquals(10, s.a());
assertEquals(100, s.b());
s.a(1).b(2);
b.write(queue, pS, true);
e = structs.f(queue, b, new int[] { 1 }, null);
b.read(queue, pS, true, e);
assertEquals(12, s.a());
assertEquals(120, s.b());
}
示例8: add
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
/**
* Add two images, returning a new image with the result
*
* @param <I> The type of image
*
* @param in1 the first image to add
* @param in2 the second image to add
* @return the event
*/
public <I extends Image<?, I>> I add(I in1, I in2) {
CLQueue queue = context.createDefaultQueue();
CLImage2D clin1 = CLImageConversion.convert(context, in1);
CLImage2D clin2 = CLImageConversion.convert(context, in2);
CLImage2D clout = context.createImage2D(CLMem.Usage.Output, clin1.getFormat(), clin1.getWidth(), clin1.getHeight());
CLEvent evt = process(addImage, queue, clin1, clin2, clout);
I out = CLImageConversion.convert(queue, evt, clout, in1.newInstance(in1.getWidth(), in1.getHeight()));
clin1.release();
clin2.release();
clout.release();
queue.release();
return out;
}
示例9: subtract
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
/**
* Subtract two images, returning a new image with the result
*
* @param <I> The type of image
*
* @param in1 the first image to subtract
* @param in2 the second image to subtract
* @return the event
*/
public <I extends Image<?, I>> I subtract(I in1, I in2) {
CLQueue queue = context.createDefaultQueue();
CLImage2D clin1 = CLImageConversion.convert(context, in1);
CLImage2D clin2 = CLImageConversion.convert(context, in2);
CLImage2D clout = context.createImage2D(CLMem.Usage.Output, clin1.getFormat(), clin1.getWidth(), clin1.getHeight());
CLEvent evt = process(subtractImage, queue, clin1, clin2, clout);
I out = CLImageConversion.convert(queue, evt, clout, in1.newInstance(in1.getWidth(), in1.getHeight()));
clin1.release();
clin2.release();
clout.release();
queue.release();
return out;
}
示例10: multiply
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
/**
* Multiply two images, returning a new image with the result
*
* @param <I> The type of image
*
* @param in1 the first image to multiply
* @param in2 the second image to multiply
* @return the event
*/
public <I extends Image<?, I>> I multiply(I in1, I in2) {
CLQueue queue = context.createDefaultQueue();
CLImage2D clin1 = CLImageConversion.convert(context, in1);
CLImage2D clin2 = CLImageConversion.convert(context, in2);
CLImage2D clout = context.createImage2D(CLMem.Usage.Output, clin1.getFormat(), clin1.getWidth(), clin1.getHeight());
CLEvent evt = process(multiplyImage, queue, clin1, clin2, clout);
I out = CLImageConversion.convert(queue, evt, clout, in1.newInstance(in1.getWidth(), in1.getHeight()));
clin1.release();
clin2.release();
clout.release();
queue.release();
return out;
}
示例11: divide
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
/**
* Divide two images, returning a new image with the result
*
* @param <I> The type of image
*
* @param in1 the first image to divide
* @param in2 the second image to divide
* @return the event
*/
public <I extends Image<?, I>> I divide(I in1, I in2) {
CLQueue queue = context.createDefaultQueue();
CLImage2D clin1 = CLImageConversion.convert(context, in1);
CLImage2D clin2 = CLImageConversion.convert(context, in2);
CLImage2D clout = context.createImage2D(CLMem.Usage.Output, clin1.getFormat(), clin1.getWidth(), clin1.getHeight());
CLEvent evt = process(divideImage, queue, clin1, clin2, clout);
I out = CLImageConversion.convert(queue, evt, clout, in1.newInstance(in1.getWidth(), in1.getHeight()));
clin1.release();
clin2.release();
clout.release();
queue.release();
return out;
}
示例12: processImage
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
@Override
public void processImage(I image) {
CLQueue queue = context.createDefaultQueue();
CLImage2D in = CLImageConversion.convert(context, image);
CLImage2D out = context.createImage2D(CLMem.Usage.Output, in.getFormat(), in.getWidth(), in.getHeight());
kernel.setArgs(in, out);
CLEvent evt = kernel.enqueueNDRange(queue, new int[] {(int) in.getWidth(), (int) in.getHeight()});
CLImageConversion.convert(queue, evt, out, image);
in.release();
out.release();
queue.release();
}
示例13: analyseImage
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
@Override
public void analyseImage(FImage image) {
CLQueue queue = context.createDefaultQueue();
CLImage2D in = CLImageConversion.convert(context, image);
CLImageFormat outFmt = new CLImageFormat(ChannelOrder.RGBA, ChannelDataType.Float);
CLImage2D out = context.createImage2D(CLMem.Usage.Output, outFmt, in.getWidth(), in.getHeight());
kernel.setArgs(in, out);
CLEvent evt = kernel.enqueueNDRange(queue, new int[] {(int) in.getWidth(), (int) in.getHeight()});
MBFImage res = CLImageConversion.convert(queue, evt, out, new MBFImage(image.width, image.height, 4));
this.magnitude = res.bands.get(0);
this.orientation = res.bands.get(1);
this.gradientX = res.bands.get(2);
this.gradientY = res.bands.get(3);
in.release();
out.release();
queue.release();
}
示例14: activesamples_Loop_kernel_11196558885
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
public static void activesamples_Loop_kernel_11196558885(int limit0, int[] v1_2894, int v2_INT) {
CLContext context = createBestContext();
CLQueue queue = context.createDefaultQueue();
CLKernel kernel = context.createProgram(kernel_1196558885).createKernel("kernel_1196558885");
CLBuffer<Integer> _v1_2894 = context.createBuffer(CLMem.Usage.InputOutput, pointerToInts(v1_2894), true);
int _v2_INT = v2_INT;
kernel.setArgs(limit0, _v1_2894, _v2_INT);
int required0 = (limit0 - v2_INT) / 1;
CLEvent clEvent1 = kernel.enqueueNDRange(queue, new int[]{required0});
queue.finish();
_v1_2894.read(queue, clEvent1).getInts(v1_2894);
}
示例15: add
import com.nativelibs4java.opencl.CLMem; //导入依赖的package包/类
public static Pointer<Float> add(Pointer<Float> a, Pointer<Float> b)
throws CLBuildException {
int n = (int) a.getValidElements();
CLContext context = JavaCL.createBestContext();
CLQueue queue = context.createDefaultQueue();
String source = " void plusplus(int *i){i[0]= i[0]+1;} " +
" void add(__global float *a,__global float *b,__global float *c,__global int *i){int j = (int)i;c[j] = a[j] + b[j]; } \n" +
"__kernel void kernel1 (__global float* a, __global float* b, __global float* output) "
+ "{ "
+ " int i = get_global_id(0); " +
" "+
" add(a,b,output,i); " +
" " +
" "
+ " " +
" "
+ "} "
+" ";
//CLKernel kernel = context.createProgram(kernel_1354633072).createKernel( "kernel_1354633072");
CLKernel kernel1 = context.createProgram(source).createKernel("kernel1");
CLBuffer<Float> aBuf = context.createBuffer(CLMem.Usage.Input, a, true);
CLBuffer<Float> bBuf = context.createBuffer(CLMem.Usage.Input, b, true);
CLBuffer<Float> outBuf = context.createBuffer(CLMem.Usage.InputOutput, a, true);
// CLBuffer<Float> outBuf = context.createBuffer(CLMem.Usage.InputOutput,
// Float.class, n);
kernel1.setArgs(aBuf, bBuf, outBuf);
kernel1.enqueueNDRange(queue, new int[] { n });
queue.finish();
return outBuf.read(queue);
}