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def dither(self, img, dither_mask, pixel_loc):
        nvtx.range_push("Dithering")
        # Determine amount of padding
        p = math.ceil(max(dither_mask.shape)/2)
        # print("Padding with: ",p)
        # Pad image (same amount in all directions, can be more efficient, but easy for now)
        out = Func.pad(img, (p,p,p,p), "replicate")
        # mini-batch size, channels, heigth, width
        F, C, H, W = out.size()
        m,n = dither_mask.shape

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/* minimal code example showing how to call the zfp (de)compressor */

#ifdef DOUBLE_DT
  typedef double md;
#else
  typedef float md;
#endif

#include <math.h>
#include <stdio.h>

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/* minimal code example showing how to call the zfp (de)compressor */

#ifdef DOUBLE_DT
  typedef double md;
#else
  typedef float md;
#endif

#include <math.h>
#include <stdio.h>

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/* minimal code example showing how to call the zfp (de)compressor */

#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <zfp.h>

/* fill grid with a floating point value */
static inline void

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typedef double lr;

lr ***lr_3D_matrix(int m, int n, int o)/**  \brief create a 3D matrix with size [m, n,o] of type lr*/
{
	lr ***matrix;
	int i, j;
	matrix       =  malloc(m * sizeof(lr **));	    //allocate first dimension
	matrix[0]    =  malloc(m * n * sizeof(lr *));	//allocate continous memory block for all elements
	matrix[0][0] =  malloc(m * n * o * sizeof(lr)); //allocate memory for the whole matrix