| #define TH_GENERIC_FILE "generic/SmoothL1Criterion.c" |
| void THNN_(SmoothL1Criterion_updateOutput)(THNNState *state, THTensor *input, THTensor *target, THTensor *output, bool sizeAverage) |
| TH_TENSOR_APPLY2(real, input, real, target, |
| real z = fabs(*input_data - *target_data); |
| sum += z < 1 ? 0.5*z*z : z - 0.5; |
| sum /= THTensor_(nElement)(input); |
| THTensor_(set1d)(output, 0, sum); |
| void THNN_(SmoothL1Criterion_updateGradInput)(THNNState *state, THTensor *input, THTensor *target, THTensor *gradInput, bool sizeAverage) |
| real norm = (sizeAverage ? 1./((real)THTensor_(nElement)(input)) : 1.); |
| THTensor_(resizeAs)(gradInput, input); |
| TH_TENSOR_APPLY3(real, gradInput, real, input, real, target, |
| real x = *input_data - *target_data; |
| *gradInput_data = - norm; |
| *gradInput_data = norm * x; |