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#ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/LogSigmoid.c"
#else
static int nn_(LogSigmoid_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
THTensor *buffer = luaT_getfieldcheckudata(L, 1, "buffer", torch_Tensor);
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_Tensor);
THTensor_(resizeAs)(output, input);
THTensor_(resizeAs)(buffer, input);
TH_TENSOR_APPLY3(real, output, real, input, real, buffer, \
real z = exp(-*input_data); \
*buffer_data = z; \
*output_data = -log(1. + z);)
return 1;
}
static int nn_(LogSigmoid_updateGradInput)(lua_State *L)
{
THTensor *gradOutput = luaT_checkudata(L, 3, torch_Tensor);
THTensor *buffer = luaT_getfieldcheckudata(L, 1, "buffer", torch_Tensor);
THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_Tensor);
THTensor_(resizeAs)(gradInput, buffer);
TH_TENSOR_APPLY3(real, gradInput, real, gradOutput, real, buffer, \
real z = *buffer_data; \
*gradInput_data = *gradOutput_data * z / (1. + z);)
return 1;
}
static const struct luaL_Reg nn_(LogSigmoid__) [] = {
{"LogSigmoid_updateOutput", nn_(LogSigmoid_updateOutput)},
{"LogSigmoid_updateGradInput", nn_(LogSigmoid_updateGradInput)},
{NULL, NULL}
};
static void nn_(LogSigmoid_init)(lua_State *L)
{
luaT_pushmetatable(L, torch_Tensor);
luaT_registeratname(L, nn_(LogSigmoid__), "nn");
lua_pop(L,1);
}
#endif
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