#include
/*
Example of FFI extension I started from:
https://github.com/pytorch/extension-ffi.git
There is this tutorial
https://github.com/pytorch/tutorials/blob/master/Creating%20Extensions%20using%20FFI.md
And TH's Tensor definition are here in my install:
anaconda3/lib/python3.5/site-packages/torch/lib/include/TH/generic/THTensor.h
*/
#include "flatland.h"
int generate_sequence(long nb_sequences, THByteTensor *output) {
long nb_images_per_sequence = 5;
long depth = 3;
long width = 64;
long height = 64;
long s;
unsigned char *a, *b;
int c, k, i, j, st0, st1, st2, st3, st4;
THByteTensor_resize5d(output, nb_sequences, nb_images_per_sequence, depth, height, width);
st0 = THByteTensor_stride(output, 0);
st1 = THByteTensor_stride(output, 1);
st2 = THByteTensor_stride(output, 2);
st3 = THByteTensor_stride(output, 3);
st4 = THByteTensor_stride(output, 4);
a =
THByteTensor_storage(output)->data + THByteTensor_storageOffset(output);
for(s = 0; s < nb_sequences; s++) {
unsigned char result[nb_images_per_sequence * depth * width * height];
unsigned char *r = result;
fl_generate_sequences(1, nb_images_per_sequence, width, height, result);
for(k = 0; k < nb_images_per_sequence; k++) {
for(c = 0; c < depth; c++) {
for(i = 0; i < height; i++) {
b = a
+ s * st0 + k * st1 + c * st2 + i * st3;
for(j = 0; j < width; j++) {
*b = (unsigned char) (*r);
r++;
b += st4;
}
}
}
}
}
return 1;
}
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