#include "gpu/generic/sycl/ref_sum_many_inputs.hpp"
#include "common/primitive_desc_iface.hpp"
namespace dnnl {
namespace impl {
namespace gpu {
namespace generic {
namespace sycl {
status_t ref_sum_many_inputs_t::pd_t::init_conf() {
conf_ = sycl_sum_conf_t();
conf_.n = n_inputs();
return status::success;
}
status_t ref_sum_many_inputs_t::init(engine_t *engine) {
const size_t n = pd()->base_pds_.size();
base_prims_.resize(n);
for (size_t i = 0; i < n; ++i) {
CHECK(pd()->base_pds_[i]->impl()->create_primitive(
base_prims_[i], engine, cache_blob()));
}
return status::success;
}
status_t ref_sum_many_inputs_t::execute(const exec_ctx_t &ctx) const {
memory_arg_t dst_mem_arg = {ctx.args().at(DNNL_ARG_DST).mem(), false};
memory_arg_t dst_read_mem_arg = {ctx.args().at(DNNL_ARG_DST).mem(), true};
int n_remaining = pd()->conf_.n;
int in_arg_offset = 0;
int i = 0;
while (n_remaining > 0) {
bool pass_in_dst = i > 0;
int max_n_child_inputs = DNNL_REF_SUM_MAX_NUM_TENSORS - pass_in_dst;
int args_handled = std::min(n_remaining, max_n_child_inputs);
exec_args_t r_args;
r_args[DNNL_ARG_DST] = dst_mem_arg;
if (pass_in_dst) {
r_args[DNNL_ARG_MULTIPLE_SRC + 0] = dst_read_mem_arg;
}
for (int j = 0; j < args_handled; j++) {
r_args[DNNL_ARG_MULTIPLE_SRC + j + pass_in_dst]
= ctx.args().at(DNNL_ARG_MULTIPLE_SRC + j + in_arg_offset);
}
exec_ctx_t r_ctx(ctx, std::move(r_args));
CHECK(base_prims_[i]->execute(r_ctx));
n_remaining -= args_handled;
in_arg_offset += args_handled;
i++;
}
return status::success;
}
} } } } }