Finishing the renaming.

[flatland.git] / mylib.c

diff --git a/mylib.c b/mylib.c
deleted file mode 100644 (file)
index 6d62c24..0000000
--- a/mylib.c
+++ /dev/null
@@ -1,62 +0,0 @@
-
-#include <TH/TH.h>
-
-/*
-
-  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;
-}