本文整理汇总了Java中com.nativelibs4java.opencl.CLQueue类的典型用法代码示例。如果您正苦于以下问题:Java CLQueue类的具体用法?Java CLQueue怎么用?Java CLQueue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。
CLQueue类属于com.nativelibs4java.opencl包,在下文中一共展示了CLQueue类的20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,您的评价将有助于我们的系统推荐出更棒的Java代码示例。
示例1: kernel_14740318
import com.nativelibs4java.opencl.CLQueue; //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);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:19,代码来源:MemImage.java
示例2: kernel_20211761
import com.nativelibs4java.opencl.CLQueue; //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);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:21,代码来源:Mandelbrot.java
示例3: kernel_14309029
import com.nativelibs4java.opencl.CLQueue; //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);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:23,代码来源:Convolution.java
示例4: kernel_332684807
import com.nativelibs4java.opencl.CLQueue; //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);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:24,代码来源:MatrixMultiplication.java
示例5: kernel_1365023967
import com.nativelibs4java.opencl.CLQueue; //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);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:18,代码来源:SquaresMath.java
示例6: kernel_1387062610
import com.nativelibs4java.opencl.CLQueue; //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);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:23,代码来源:NBody.java
示例7: kernel_381446705
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_381446705(int paramInt1, int[] paramArrayOfInt, int paramInt2)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_381446705 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
CLBuffer localCLBuffer = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToInts(paramArrayOfInt), true);
int i = paramInt2;
localCLKernel.setArgs(new Object[] { paramInt1, localCLBuffer, i });
int j = paramInt1 - paramInt2 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { j }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer.read(localCLQueue, new CLEvent[] { localCLEvent }).getInts(paramArrayOfInt);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:17,代码来源:LoopWithMultipleConditionsInBody.java
示例8: kernel_1780824482
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_1780824482(int paramInt1, int paramInt2, float[] paramArrayOfFloat, int paramInt3)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_1780824482 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
int i = paramInt2;
CLBuffer localCLBuffer = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToFloats(paramArrayOfFloat), true);
int j = paramInt3;
localCLKernel.setArgs(new Object[] { paramInt1, i, localCLBuffer, j });
int k = paramInt1 - paramInt2 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { k }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer.read(localCLQueue, new CLEvent[] { localCLEvent }).getFloats(paramArrayOfFloat);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:18,代码来源:BlackScholes.java
示例9: kernel_112397371
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_112397371(int paramInt1, int paramInt2, int paramInt3, float paramFloat, int paramInt4, int paramInt5, int paramInt6, short[] paramArrayOfShort)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_112397371 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
int i = paramInt3;
float f = paramFloat;
int j = paramInt4;
int k = paramInt5;
int m = paramInt6;
CLBuffer localCLBuffer = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToShorts(paramArrayOfShort), true);
localCLKernel.setArgs(new Object[] { paramInt1, paramInt2, i, f, j, k, m, localCLBuffer });
int n = paramInt1 - paramInt4 / 1;
int i1 = paramInt2 - paramInt5 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { n, i1 }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer.read(localCLQueue, new CLEvent[] { localCLEvent }).getShorts(paramArrayOfShort);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:22,代码来源:Mandelbrot.java
示例10: kernel_1817842420
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_1817842420(int paramInt1, int paramInt2, float[] paramArrayOfFloat, int paramInt3, int paramInt4, byte[] paramArrayOfByte1, int paramInt5, int paramInt6, byte[] paramArrayOfByte2, int paramInt7)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_1817842420 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
int i = paramInt2;
CLBuffer localCLBuffer1 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToFloats(paramArrayOfFloat), true);
int j = paramInt3;
int k = paramInt4;
CLBuffer localCLBuffer2 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToBytes(paramArrayOfByte1), true);
int m = paramInt5;
int n = paramInt6;
CLBuffer localCLBuffer3 = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToBytes(paramArrayOfByte2), true);
int i1 = paramInt7;
localCLKernel.setArgs(new Object[] { paramInt1, i, localCLBuffer1, j, k, localCLBuffer2, m, n, localCLBuffer3, i1 });
int i2 = paramInt1 - paramInt6 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { i2 }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer3.read(localCLQueue, new CLEvent[] { localCLEvent }).getBytes(paramArrayOfByte2);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:24,代码来源:Convolution.java
示例11: kernel_539791456
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_539791456(int paramInt1, int paramInt2, int paramInt3, int paramInt4, float[] paramArrayOfFloat1, float paramFloat, float[] paramArrayOfFloat2, int paramInt5)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_539791456 };
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.Input, Pointer.pointerToFloats(paramArrayOfFloat1), true);
float f = paramFloat;
CLBuffer localCLBuffer2 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToFloats(paramArrayOfFloat2), true);
int m = paramInt5;
localCLKernel.setArgs(new Object[] { paramInt1, i, j, k, localCLBuffer1, f, localCLBuffer2, m });
int n = paramInt1 - paramInt2 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { n }, arrayOfCLEvent);
localCLQueue.finish();
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:21,代码来源:MatrixMultiplicationOneD.java
示例12: kernel_1983995535
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_1983995535(int paramInt1, float paramFloat1, float paramFloat2, float paramFloat3, float paramFloat4, float paramFloat5, float paramFloat6, float paramFloat7, int paramInt2, float paramFloat8, float[] paramArrayOfFloat)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_1983995535 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
float f1 = paramFloat1;
float f2 = paramFloat2;
float f3 = paramFloat3;
float f4 = paramFloat4;
float f5 = paramFloat5;
float f6 = paramFloat6;
float f7 = paramFloat7;
int i = paramInt2;
float f8 = paramFloat8;
CLBuffer localCLBuffer = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToFloats(paramArrayOfFloat), true);
localCLKernel.setArgs(new Object[] { paramInt1, f1, f2, f3, f4, f5, f6, f7, i, f8, localCLBuffer });
int j = paramInt1 - paramInt2 / 3;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { j }, arrayOfCLEvent);
localCLQueue.finish();
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:24,代码来源:NBody.java
示例13: kernel_741680667
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_741680667(int paramInt1, int paramInt2, float[] paramArrayOfFloat)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_741680667 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
int i = paramInt2;
CLBuffer localCLBuffer = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToFloats(paramArrayOfFloat), true);
localCLKernel.setArgs(new Object[] { paramInt1, i, localCLBuffer });
int j = paramInt1 - paramInt2 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { j }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer.read(localCLQueue, new CLEvent[] { localCLEvent }).getFloats(paramArrayOfFloat);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:17,代码来源:FillArray.java
示例14: kernel_M382277171
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_M382277171(int paramInt1, int paramInt2, int[][] paramArrayOfInt1, int paramInt3, int paramInt4, int[][] paramArrayOfInt2, int[][] paramArrayOfInt3)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_M382277171 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
CLBuffer localCLBuffer1 = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToInts(paramArrayOfInt1), true);
int i = paramInt3;
int j = paramInt4;
CLBuffer localCLBuffer2 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToInts(paramArrayOfInt2), true);
CLBuffer localCLBuffer3 = context.createBuffer(CLMem.Usage.Input, Pointer.pointerToInts(paramArrayOfInt3), true);
localCLKernel.setArgs(new Object[] { paramInt1, paramInt2, localCLBuffer1, i, j, localCLBuffer2, localCLBuffer3 });
int k = paramInt1 - paramInt3 / 1;
int m = paramInt2 - paramInt4 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { k, m }, arrayOfCLEvent);
localCLQueue.finish();
Pointer localPointer1 = localCLBuffer1.read(localCLQueue, new CLEvent[] { localCLEvent });
long l = localPointer1.getValidElements();
for (int n = 0; n < l; n++)
{
Pointer localPointer2 = (Pointer)localPointer1.get(n);
localPointer2.getInts(paramArrayOfInt1[n]);
}
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:27,代码来源:ArrayMultiplication2D.java
示例15: kernel_2128203651
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_2128203651(int paramInt1, int[] paramArrayOfInt, int paramInt2)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_2128203651 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
CLBuffer localCLBuffer = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToInts(paramArrayOfInt), true);
int i = paramInt2;
localCLKernel.setArgs(new Object[] { paramInt1, localCLBuffer, i });
int j = paramInt1 - paramInt2 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { j }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer.read(localCLQueue, new CLEvent[] { localCLEvent }).getInts(paramArrayOfInt);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:17,代码来源:ArrayIncrement.java
示例16: kernel_1507237915
import com.nativelibs4java.opencl.CLQueue; //导入依赖的package包/类
public static void kernel_1507237915(int paramInt1, int[] paramArrayOfInt, int paramInt2)
{
CLDevice.QueueProperties[] arrayOfQueueProperties = { CLDevice.QueueProperties.ProfilingEnable };
CLQueue localCLQueue = context.createDefaultQueue(arrayOfQueueProperties);
String[] arrayOfString = { kernel_1507237915 };
CLKernel[] arrayOfCLKernel = context.createProgram(arrayOfString).createKernels();
CLKernel localCLKernel = arrayOfCLKernel[0];
CLBuffer localCLBuffer = context.createBuffer(CLMem.Usage.InputOutput, Pointer.pointerToInts(paramArrayOfInt), true);
int i = paramInt2;
localCLKernel.setArgs(new Object[] { paramInt1, localCLBuffer, i });
int j = paramInt1 - paramInt2 / 1;
CLEvent[] arrayOfCLEvent = { null };
CLEvent localCLEvent = localCLKernel.enqueueNDRange(localCLQueue, new int[] { j }, arrayOfCLEvent);
localCLQueue.finish();
localCLBuffer.read(localCLQueue, new CLEvent[] { localCLEvent }).getInts(paramArrayOfInt);
}
开发者ID:adnanmitf09,项目名称:Rubus,代码行数:17,代码来源:ArrayIncrement.java
示例17: add
import com.nativelibs4java.opencl.CLQueue; //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;
}
开发者ID:openimaj,项目名称:openimaj,代码行数:28,代码来源:CLImageArithmetic.java
示例18: subtract
import com.nativelibs4java.opencl.CLQueue; //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;
}
开发者ID:openimaj,项目名称:openimaj,代码行数:28,代码来源:CLImageArithmetic.java
示例19: multiply
import com.nativelibs4java.opencl.CLQueue; //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;
}
开发者ID:openimaj,项目名称:openimaj,代码行数:28,代码来源:CLImageArithmetic.java
示例20: divide
import com.nativelibs4java.opencl.CLQueue; //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;
}
开发者ID:openimaj,项目名称:openimaj,代码行数:28,代码来源:CLImageArithmetic.java
注:本文中的com.nativelibs4java.opencl.CLQueue类示例整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。 |
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