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#ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/SoftShrink.c"
#else
static int nn_(SoftShrink_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
real lambda = luaT_getfieldchecknumber(L, 1, "lambda");
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_Tensor);
THTensor_(resizeAs)(output, input);
TH_TENSOR_APPLY2(real, output, real, input, \
if ((*input_data) > lambda) *output_data = *input_data - lambda; \
else if ((*input_data) < -lambda) *output_data = *input_data + lambda; \
else *output_data = 0;);
return 1;
}
static int nn_(SoftShrink_updateGradInput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
real lambda = luaT_getfieldchecknumber(L, 1, "lambda");
THTensor *gradOutput = luaT_checkudata(L, 3, torch_Tensor);
THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_Tensor);
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_(SoftShrink__) [] = {
{"SoftShrink_updateOutput", nn_(SoftShrink_updateOutput)},
{"SoftShrink_updateGradInput", nn_(SoftShrink_updateGradInput)},
{NULL, NULL}
};
static void nn_(SoftShrink_init)(lua_State *L)
{
luaT_pushmetatable(L, torch_Tensor);
luaT_registeratname(L, nn_(SoftShrink__), "nn");
lua_pop(L,1);
}
#endif
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