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#ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/Threshold.c"
#else
static int nn_(Threshold_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
real val = luaT_getfieldchecknumber(L, 1, "val");
real threshold = luaT_getfieldchecknumber(L, 1, "threshold");
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_(Tensor_id));
THTensor_(resizeAs)(output, input);
TH_TENSOR_APPLY2(real, output, real, input, \
*output_data = (*input_data > threshold) ? *input_data : val;);
return 1;
}
static int nn_(Threshold_updateGradInput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
THTensor *gradOutput = luaT_checkudata(L, 3, torch_(Tensor_id));
real threshold = luaT_getfieldchecknumber(L, 1, "threshold");
THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_(Tensor_id));
THTensor_(resizeAs)(gradInput, input);
TH_TENSOR_APPLY3(real, gradInput, real, gradOutput, real, input, \
if ((*input_data) > threshold) *gradInput_data = 1; \
else *gradInput_data = 0; \
*gradInput_data = (*gradOutput_data) * (*gradInput_data););
return 1;
}
static const struct luaL_Reg nn_(Threshold__) [] = {
{"Threshold_updateOutput", nn_(Threshold_updateOutput)},
{"Threshold_updateGradInput", nn_(Threshold_updateGradInput)},
{NULL, NULL}
};
static void nn_(Threshold_init)(lua_State *L)
{
luaT_pushmetaclass(L, torch_(Tensor_id));
luaT_registeratname(L, nn_(Threshold__), "nn");
lua_pop(L,1);
}
#endif
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