1 files changed, 54 insertions, 0 deletions
diff --git a/generic/AbsCriterion.c b/generic/AbsCriterion.c
new file mode 100644
index 0000000..b9b948d
--- /dev/null
+++ b/generic/AbsCriterion.c
@@ -0,0 +1,54 @@
+#ifndef TH_GENERIC_FILE
+#define TH_GENERIC_FILE "generic/AbsCriterion.c"
+#else
+
+static int nn_(AbsCriterion_updateOutput)(lua_State *L)
+{
+  THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));  
+  THTensor *target = luaT_checkudata(L, 3, torch_(Tensor_id));  
+  int sizeAverage = luaT_getfieldcheckboolean(L, 1, "sizeAverage");
+  real sum;
+
+  sum = 0;
+  TH_TENSOR_APPLY2(real, input, real, target,
+                   sum += fabs(*input_data - *target_data);)
+
+  if(sizeAverage)
+    sum /= THTensor_(nElement)(input);
+
+  lua_pushnumber(L, sum);
+  lua_setfield(L, 1, "output");
+
+  lua_pushnumber(L, sum);
+  return 1;
+}
+
+static int nn_(AbsCriterion_updateGradInput)(lua_State *L)
+{
+  THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
+  THTensor *target = luaT_checkudata(L, 3, torch_(Tensor_id));
+  int sizeAverage = luaT_getfieldcheckboolean(L, 1, "sizeAverage");
+  THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_(Tensor_id));
+  real norm = (sizeAverage ? 1./((real)THTensor_(nElement)(input)) : 1.);
+
+  THTensor_(resizeAs)(gradInput, input);
+  TH_TENSOR_APPLY3(real, gradInput, real, input, real, target,
+                   *gradInput_data = ( (*input_data - *target_data) >= 0 ? norm : -norm);)
+
+  return 1;
+}
+
+static const struct luaL_Reg nn_(AbsCriterion__) [] = {
+  {"AbsCriterion_updateOutput", nn_(AbsCriterion_updateOutput)},
+  {"AbsCriterion_updateGradInput", nn_(AbsCriterion_updateGradInput)},
+  {NULL, NULL}
+};
+
+static void nn_(AbsCriterion_init)(lua_State *L)
+{
+  luaT_pushmetaclass(L, torch_(Tensor_id));
+  luaT_registeratname(L, nn_(AbsCriterion__), "nn");
+  lua_pop(L,1);
+}
+
+#endif