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#ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/HardShrink.c"
#else
static int nn_(HardShrink_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
real lambda = luaT_getfieldchecknumber(L, 1, "lambda");
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_(Tensor_id));
THTensor_(resizeAs)(output, input);
TH_TENSOR_APPLY2(real, output, real, input, \
if ((*input_data) > lambda) *output_data = *input_data; \
else if ((*input_data) < -lambda) *output_data = *input_data; \
else *output_data = 0;);
return 1;
}
static int nn_(HardShrink_updateGradInput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
real lambda = luaT_getfieldchecknumber(L, 1, "lambda");
THTensor *gradOutput = luaT_checkudata(L, 3, torch_(Tensor_id));
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) > lambda || (*input_data) < -lambda) \
*gradInput_data = (*gradOutput_data); \
else \
*gradInput_data = 0; \
);
return 1;
}
static const struct luaL_Reg nn_(HardShrink__) [] = {
{"HardShrink_updateOutput", nn_(HardShrink_updateOutput)},
{"HardShrink_updateGradInput", nn_(HardShrink_updateGradInput)},
{NULL, NULL}
};
static void nn_(HardShrink_init)(lua_State *L)
{
luaT_pushmetaclass(L, torch_(Tensor_id));
luaT_registeratname(L, nn_(HardShrink__), "nn");
lua_pop(L,1);
}
#endif
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