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Merged
shssf merged 1 commit into from
Jul 12, 2021
Merged

ENH: kernels for random.vonmisses; part 1 #779

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60 changes: 32 additions & 28 deletions dpnp/backend/kernels/dpnp_krnl_random.cpp
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Original file line numberDiff line numberDiff line change
Expand Up@@ -1244,7 +1244,7 @@ void dpnp_rng_uniform_c(void* result, const long low, const long high, const siz
template <typename _DataType>
void dpnp_rng_vonmises_large_kappa_c(void* result, const _DataType mu, const _DataType kappa, const size_t size)
{
if (!size)
if (!size || !result)
{
return;
}
Expand DownExpand Up@@ -1314,20 +1314,23 @@ void dpnp_rng_vonmises_large_kappa_c(void* result, const _DataType mu, const _Da
dpnp_memory_free_c(Uvec);

mkl_rng::uniform<_DataType> uniform_distribution(d_zero, d_one);
auto event_out = mkl_rng::generate(uniform_distribution, DPNP_RNG_ENGINE, size, Vvec);
event_out.wait();
auto uniform_distr_event = mkl_rng::generate(uniform_distribution, DPNP_RNG_ENGINE, size, Vvec);

// TODO
// kernel
for (size_t i = 0; i < size; i++)
{
_DataType mod, resi;
cl::sycl::range<1> gws(size);

resi = (Vvec[i] < 0.5) ? mu - result1[i] : mu + result1[i];
mod = fabs(resi);
mod = (fmod(mod + M_PI, 2 * M_PI) - M_PI);
result1[i] = (resi < 0) ? -mod : mod;
}
auto paral_kernel_acceptance = [&](cl::sycl::handler& cgh) {
cgh.depends_on({uniform_distr_event});
cgh.parallel_for(gws, [=](cl::sycl::id<1> global_id) {
size_t i = global_id[0];
double mod, resi;
resi = (Vvec[i] < 0.5) ? mu - result1[i] : mu + result1[i];
mod = cl::sycl::fabs(resi);
mod = (cl::sycl::fmod(mod + M_PI, 2 * M_PI) - M_PI);
result1[i] = (resi < 0) ? -mod : mod;
});
};
auto acceptance_event = DPNP_QUEUE.submit(paral_kernel_acceptance);
acceptance_event.wait();

dpnp_memory_free_c(Vvec);
return;
Expand All@@ -1336,7 +1339,7 @@ void dpnp_rng_vonmises_large_kappa_c(void* result, const _DataType mu, const _Da
template <typename _DataType>
void dpnp_rng_vonmises_small_kappa_c(void* result, const _DataType mu, const _DataType kappa, const size_t size)
{
if (!size)
if (!size || !result)
{
return;
}
Expand DownExpand Up@@ -1391,20 +1394,22 @@ void dpnp_rng_vonmises_small_kappa_c(void* result, const _DataType mu, const _Da
dpnp_memory_free_c(Uvec);

mkl_rng::uniform<_DataType> uniform_distribution(d_zero, d_one);
auto event_out = mkl_rng::generate(uniform_distribution, DPNP_RNG_ENGINE, size, Vvec);
event_out.wait();
auto uniform_distr_event = mkl_rng::generate(uniform_distribution, DPNP_RNG_ENGINE, size, Vvec);

// TODO
// kernel
for (size_t i = 0; i < size; i++)
{
double mod, resi;

resi = (Vvec[i] < 0.5) ? mu - result1[i] : mu + result1[i];
mod = fabs(resi);
mod = (fmod(mod + M_PI, 2 * M_PI) - M_PI);
result1[i] = (resi < 0) ? -mod : mod;
}
cl::sycl::range<1> gws(size);
auto paral_kernel_acceptance = [&](cl::sycl::handler& cgh) {

@shssfshssfJul 12, 2021

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it looks like this lambda is mostly the same as in other part of code. I suspect, this will be used for many other part of code.
If it is not - please drop off this message.
So, perhaps it is better to make it as a macro or, that is better, as inline function in this C++ source. Just to avoid code duplication.
This is not quite important. It might be leaved as is, at least for now.

@samir-nasiblisamir-nasibliJul 12, 2021

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@shssf There is no code duplication here. Please read messages carefully)

@samir-nasiblisamir-nasibliJul 12, 2021

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@shssf Actually you are right. But it is valuable, when we reusing the same code more than 2 times. I vote leave it as is.

cgh.depends_on({uniform_distr_event});
cgh.parallel_for(gws, [=](cl::sycl::id<1> global_id) {
size_t i = global_id[0];
double mod, resi;
resi = (Vvec[i] < 0.5) ? mu - result1[i] : mu + result1[i];
mod = cl::sycl::fabs(resi);
mod = (cl::sycl::fmod(mod + M_PI, 2 * M_PI) - M_PI);
result1[i] = (resi < 0) ? -mod : mod;
});
};
auto acceptance_event = DPNP_QUEUE.submit(paral_kernel_acceptance);
acceptance_event.wait();

dpnp_memory_free_c(Vvec);
return;
Expand All@@ -1423,7 +1428,6 @@ void dpnp_rng_vonmises_c(void* result, const _DataType mu, const _DataType kappa
dpnp_rng_vonmises_large_kappa_c<_DataType>(result, mu, kappa, size);
else
dpnp_rng_vonmises_small_kappa_c<_DataType>(result, mu, kappa, size);
// TODO case when kappa < kappa < 1e-8 (very small)
}

template <typename _KernelNameSpecialization>
Expand Down