blob: b2575d00ec83716793b724cb7e97eed151f4bec1 [file] [log] [blame]
#ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "generic/AbsCriterion.cu"
#else
void THNN_(AbsCriterion_updateOutput)(
THCState *state,
THCTensor *input,
THCTensor *target,
THCTensor *output,
bool sizeAverage)
{
THCUNN_check_nElement(state, input, target);
THCUNN_assertSameGPU(state, 2, input, target);
ptrdiff_t size = THCTensor_(nElement)(state, input);
input = THCTensor_(newContiguous)(state, input);
target = THCTensor_(newContiguous)(state, target);
thrust::device_ptr<real> input_data(THCTensor_(data)(state, input));
thrust::device_ptr<real> target_data(THCTensor_(data)(state, target));
accreal sum = thrust::inner_product(input_data, input_data+size, target_data, (accreal)0, thrust::plus<accreal>(), abs_functor<real, accreal>());
if (sizeAverage)
sum /= size;
THCTensor_(free)(state, input);
THCTensor_(free)(state, target);
THCTensor_(set1d)(state, output, 0, ScalarConvert<accreal, real>::to(sum));
}
void THNN_(AbsCriterion_updateGradInput)(
THCState *state,
THCTensor *input,
THCTensor *target,
THCTensor *gradInput,
bool sizeAverage)
{
THCUNN_check_nElement(state, input, target);
THCUNN_assertSameGPU(state, 3, input, target, gradInput);
ptrdiff_t size = THCTensor_(nElement)(state, input);
real norm = ScalarConvert<double, real>::to(sizeAverage ? 1./size : 1.);
input = THCTensor_(newContiguous)(state, input);
target = THCTensor_(newContiguous)(state, target);
THCTensor_(resizeAs)(state, gradInput, input);
thrust::device_ptr<real> input_data(THCTensor_(data)(state, input));
thrust::device_ptr<real> target_data(THCTensor_(data)(state, target));
thrust::device_ptr<real> gradInput_data(THCTensor_(data)(state, gradInput));
thrust::transform(input_data, input_data+size, target_data, gradInput_data, abs_updateGradInput_functor<real>(norm));
THCTensor_(free)(state, input);
THCTensor_(free)(state, target);
}
#endif