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package com.aparapi.examples.convolution;

import com.aparapi.*;
import com.aparapi.device.*;
import com.aparapi.internal.kernel.*;
import com.aparapi.opencl.*;
import com.aparapi.opencl.OpenCL.*;

import java.io.*;

public class ConvolutionOpenCL{

   @Resource("com/aparapi/examples/convolution/convolution.cl") interface Convolution extends OpenCL{
      Convolution applyConvolution(//
            Range range, //
            @GlobalReadOnly("_convMatrix3x3") float[] _convMatrix3x3,//// only read from kernel 
            @GlobalReadOnly("_imagIn") byte[] _imageIn,// only read from kernel (actually char[])
            @GlobalWriteOnly("_imagOut") byte[] _imageOut, // only written to (never read) from kernel (actually char[])
            @Arg("_width") int _width,// 
            @Arg("_height") int _height);
   }

   public static void main(final String[] _args) {
      final File file = new File(_args.length == 1 ? _args[0] : "./src/main/resources/testcard.jpg");

      final OpenCLDevice openclDevice = (OpenCLDevice) KernelManager.instance().bestDevice();

      final Convolution convolution = openclDevice.bind(Convolution.class);
      final float convMatrix3x3[] = new float[] {
            0f,
            -10f,
            0f,
            -10f,
            40f,
            -10f,
            0f,
            -10f,
            0f,
      };

      new ConvolutionViewer(file, convMatrix3x3){
         Range range = null;

         @Override protected void applyConvolution(float[] _convMatrix3x3, byte[] _inBytes, byte[] _outBytes, int _width,
               int _height) {
            if (range == null) {
               range = openclDevice.createRange(_width * _height * 3);
            }

            convolution.applyConvolution(range, _convMatrix3x3, _inBytes, _outBytes, _width, _height);
         }
      };
   }
}