#include "gpu/gpu_impl_list.hpp"
#if DNNL_GPU_VENDOR == DNNL_VENDOR_INTEL
#include "gpu/intel/lnorm/ref.hpp"
#include "gpu/intel/lnorm/reusable.hpp"
#include "gpu/intel/lnorm/reusable_vectorized.hpp"
#include "gpu/intel/lnorm/simple.hpp"
#include "gpu/intel/lnorm/vectorized.hpp"
#endif
#ifdef GENERIC_SYCL_KERNELS_ENABLED
#include "gpu/generic/sycl/ref_layer_normalizations.hpp"
#endif
namespace dnnl {
namespace impl {
namespace gpu {
namespace {
using namespace dnnl::impl::prop_kind;
const std::map<pk_impl_key_t, std::vector<impl_list_item_t>>
impl_list_map REG_LNORM_P({
{{forward}, {
GPU_INSTANCE_INTEL(intel::lnorm::reusable_vectorized_fwd_t)
GPU_INSTANCE_INTEL(intel::lnorm::vectorized_fwd_t)
GPU_INSTANCE_INTEL(intel::lnorm::simple_fwd_t)
GPU_INSTANCE_INTEL(intel::lnorm::ref_fwd_t)
GPU_INSTANCE_INTEL(intel::lnorm::reusable_fwd_t)
GPU_INSTANCE_GENERIC_SYCL(generic::sycl::ref_layer_normalization_fwd_t)
nullptr,
}},
{{backward}, REG_BWD_PK({
GPU_INSTANCE_INTEL(intel::lnorm::vectorized_bwd_t)
GPU_INSTANCE_INTEL(intel::lnorm::simple_bwd_t)
GPU_INSTANCE_INTEL(intel::lnorm::ref_bwd_t)
GPU_INSTANCE_INTEL(intel::lnorm::reusable_bwd_t)
GPU_INSTANCE_GENERIC_SYCL(generic::sycl::ref_layer_normalization_bwd_t)
nullptr,
})},
});
}
const impl_list_item_t *get_layer_normalization_impl_list(
const layer_normalization_desc_t *desc) {
static const impl_list_item_t empty_list[] = {nullptr};
const bool is_fwd = utils::one_of(
desc->prop_kind, forward_training, forward_inference);
prop_kind_t prop_kind = is_fwd ? forward : backward;
const auto impl_list_it = impl_list_map.find({prop_kind});
return impl_list_it != impl_list_map.cend() ? impl_list_it->second.data()
: empty_list;
}
} } }