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CUDA 12.5 error: Lambdas __device__ on Thrust requires __host__ #1043

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Merged
albertmena merged 1 commit into from
Oct 22, 2025
Merged

CUDA 12.5 error: Lambdas __device__ on Thrust requires __host__ #1043

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14 changes: 7 additions & 7 deletions src/xmipp/libraries/reconstruction_cuda/cuda_volume_restoration_kernels.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -172,7 +172,7 @@ void VolumeRestorationKernels<T>::restorationSigmaCostError(T& error, const std:
const vec2_type<T>* __restrict__ d_fV1 = (vec2_type<T>*)_d_fV1;
const vec2_type<T>* __restrict__ d_fV2 = (vec2_type<T>*)_d_fV2;

auto error_func = [=] __device__ (int n) -> T {
auto error_func = [=] __host__ __device__ (int n) -> T {
const T R2n = d_R2[n];
if (R2n <= 0.25) {
const T H1 = exp(K1 * R2n);
Expand All @@ -195,7 +195,7 @@ void VolumeRestorationKernels<T>::restorationSigmaCostError(T& error, const std:

template< typename T >
void VolumeRestorationKernels<T>::computeDiffAndAverage(const T* __restrict__ d_V1, const T* __restrict__ d_V2, T* __restrict__ d_S, T* __restrict__ d_N, size_t volume_size) {
auto k = [=] __device__ (int n) {
auto k = [=] __host__ __device__ (int n) {
d_N[n] = d_V1[n] - d_V2[n];
d_S[n] = (d_V1[n] + d_V2[n]) * static_cast<T>(0.5);
};
Expand All @@ -222,7 +222,7 @@ template< typename T >
std::pair<T, T> VolumeRestorationKernels<T>::computeAvgStd(const T* __restrict__ d_N, size_t volume_size) {
const T avg = thrust::reduce(thrust::device, d_N, d_N + volume_size);

auto square_kernel = [=] __device__ (T x) -> T {
auto square_kernel = [=] __host__ __device__ (T x) -> T {
return x * x;
};

Expand All @@ -233,7 +233,7 @@ std::pair<T, T> VolumeRestorationKernels<T>::computeAvgStd(const T* __restrict__

template< typename T >
std::pair<T, T> VolumeRestorationKernels<T>::computeAvgStdWithMask(const T* __restrict__ d_N, const int* __restrict__ d_mask, size_t mask_size, size_t volume_size) {
auto masked_k = [=] __device__ (int n) -> T {
auto masked_k = [=] __host__ __device__ (int n) -> T {
if (d_mask[n]) {
return d_N[n];
} else {
Expand All @@ -244,7 +244,7 @@ std::pair<T, T> VolumeRestorationKernels<T>::computeAvgStdWithMask(const T* __re
const T avg = thrust::transform_reduce(thrust::device, thrust::counting_iterator<int>(0), thrust::counting_iterator<int>(volume_size), masked_k,
static_cast<T>(0), thrust::plus<T>());

auto masked_square_k = [=] __device__ (int n) -> T {
auto masked_square_k = [=] __host__ __device__ (int n) -> T {
if (d_mask[n]) {
return d_N[n] * d_N[n];
} else {
Expand All @@ -260,7 +260,7 @@ std::pair<T, T> VolumeRestorationKernels<T>::computeAvgStdWithMask(const T* __re

template< typename T >
void VolumeRestorationKernels<T>::computeDifference(T* __restrict__ d_V1, T* __restrict__ d_V2, const T* __restrict__ d_S, const T* __restrict__ d_N, T k, size_t volume_size) {
auto ker = [=] __device__ (int n) {
auto ker = [=] __host__ __device__ (int n) {
const T Nn = d_N[n];
const T w = exp(k * Nn * Nn);
const T s = d_S[n];
Expand All @@ -278,7 +278,7 @@ size_t VolumeRestorationKernels<T>::computeMaskSize(const int* __restrict__ d_ma

template< typename T >
void VolumeRestorationKernels<T>::multiplyByConstant(T* __restrict__ d_array, T c, size_t volume_size) {
auto k = [=] __device__ (int n) {
auto k = [=] __host__ __device__ (int n) {
d_array[n] = d_array[n] * c;
};

Expand Down