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#ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/Sigmoid.c"
#else
static int nn_(Sigmoid_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_(Tensor_id));
THTensor_(resizeAs)(output, input);
TH_TENSOR_APPLY2(real, output, real, input, \
*output_data = 1./(1.+ exp(- *input_data));)
return 1;
}
static int nn_(Sigmoid_updateGradInput)(lua_State *L)
{
THTensor *gradOutput = luaT_checkudata(L, 3, torch_(Tensor_id));
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_(Tensor_id));
THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_(Tensor_id));
THTensor_(resizeAs)(gradInput, output);
TH_TENSOR_APPLY3(real, gradInput, real, gradOutput, real, output, \
real z = *output_data; \
*gradInput_data = *gradOutput_data * (1. - z) * z;)
return 1;
}
static const struct luaL_Reg nn_(Sigmoid__) [] = {
{"Sigmoid_updateOutput", nn_(Sigmoid_updateOutput)},
{"Sigmoid_updateGradInput", nn_(Sigmoid_updateGradInput)},
{NULL, NULL}
};
static void nn_(Sigmoid_init)(lua_State *L)
{
luaT_pushmetaclass(L, torch_(Tensor_id));
luaT_registeratname(L, nn_(Sigmoid__), "nn");
lua_pop(L,1);
}
#endif
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