package com.nativelibs4java.opencl.util.fft; import com.nativelibs4java.opencl.*; import java.io.IOException; import java.nio.FloatBuffer; /** * OpenCL Fast Fourier Transform for array sizes that are powers of two (simple precision floating point numbers) */ public class FloatFFTPow2 extends AbstractFFTPow2<Float, float[]> { final FloatFFTProgram program; public FloatFFTPow2(CLContext context) throws IOException { super(context, Float.class); this.program = new FloatFFTProgram(context); program.getProgram().setFastRelaxedMath(); } public FloatFFTPow2() throws IOException { this(JavaCL.createBestContext()); } protected CLEvent cooleyTukeyFFTTwiddleFactors(CLQueue queue, int N, CLBuffer<Float> buf, CLEvent... evts) throws CLException { return program.cooleyTukeyFFTTwiddleFactors(queue, N, buf, new int[] { N / 2 }, null, evts); } protected CLEvent cooleyTukeyFFTCopy(CLQueue queue, CLBuffer<Float> inBuf, CLBuffer<Float> outBuf, int length, CLBuffer<Integer> offsetsBuf, boolean inverse, CLEvent... evts) throws CLException { return program.cooleyTukeyFFTCopy(queue, inBuf, outBuf, length, offsetsBuf, inverse ? 1.0f / length : 1, new int[] { length }, null, evts); } protected CLEvent cooleyTukeyFFT(CLQueue queue, CLBuffer<Float> Y, int N, CLBuffer<Float> twiddleFactors, int inverse, int[] dims, CLEvent... evts) throws CLException { return program.cooleyTukeyFFT(queue, Y, N, twiddleFactors, inverse, dims, null, evts); } }