1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
|
#ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/MSECriterion.c"
#else
static int nn_(MSECriterion_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
THTensor *target = luaT_checkudata(L, 3, torch_Tensor);
int sizeAverage = luaT_getfieldcheckboolean(L, 1, "sizeAverage");
real sum;
sum = 0;
TH_TENSOR_APPLY2(real, input, real, target,
real z = (*input_data - *target_data);
sum += z*z;)
if(sizeAverage)
sum /= THTensor_(nElement)(input);
lua_pushnumber(L, sum);
lua_setfield(L, 1, "output");
lua_pushnumber(L, sum);
return 1;
}
static int nn_(MSECriterion_updateGradInput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
THTensor *target = luaT_checkudata(L, 3, torch_Tensor);
int sizeAverage = luaT_getfieldcheckboolean(L, 1, "sizeAverage");
THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_Tensor);
real norm = (sizeAverage ? 2./((real)THTensor_(nElement)(input)) : 2.);
THTensor_(resizeAs)(gradInput, input);
TH_TENSOR_APPLY3(real, gradInput, real, input, real, target,
*gradInput_data = norm * (*input_data - *target_data);)
return 1;
}
static const struct luaL_Reg nn_(MSECriterion__) [] = {
{"MSECriterion_updateOutput", nn_(MSECriterion_updateOutput)},
{"MSECriterion_updateGradInput", nn_(MSECriterion_updateGradInput)},
{NULL, NULL}
};
static void nn_(MSECriterion_init)(lua_State *L)
{
luaT_pushmetatable(L, torch_Tensor);
luaT_registeratname(L, nn_(MSECriterion__), "nn");
lua_pop(L,1);
}
#endif
|
