/*
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
#include "sequence_generator.h"
THByteTensor *generate_sequence(long nb_sequences,
long nb_images,
long image_height, long image_width,
int random_shape_size, int random_colors) {
long nb_channels = 3;
unsigned char *a, *b;
long s, c, k, i, j, st0, st1, st2, st3, st4;
THLongStorage *size = THLongStorage_newWithSize(5);
size->data[0] = nb_sequences;
size->data[1] = nb_images;
size->data[2] = nb_channels;
size->data[3] = image_height;
size->data[4] = image_width;
THByteTensor *result = THByteTensor_newWithSize(size, NULL);
THLongStorage_free(size);
st0 = THByteTensor_stride(result, 0);
st1 = THByteTensor_stride(result, 1);
st2 = THByteTensor_stride(result, 2);
st3 = THByteTensor_stride(result, 3);
st4 = THByteTensor_stride(result, 4);
unsigned char tmp_buffer[nb_images * nb_channels * image_width * image_height];
for(s = 0; s < nb_sequences; s++) {
a = THByteTensor_storage(result)->data + THByteTensor_storageOffset(result) + s * st0;
fl_generate_sequence(nb_images, image_width, image_height,
random_shape_size, random_colors,
tmp_buffer);
unsigned char *r = tmp_buffer;
for(k = 0; k < nb_images; k++) {
for(c = 0; c < nb_channels; c++) {
for(i = 0; i < image_height; i++) {
b = a + k * st1 + c * st2 + i * st3;
for(j = 0; j < image_width; j++) {
*b = (unsigned char) (*r);
r++;
b += st4;
}
}
}
}
}
return result;
}
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