#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"
#include "op_plugin/utils/OpUtils.h"
namespace op_api {
using npu_preparation = at_npu::native::OpPreparation;
at::Tensor &mv_out(const at::Tensor &self, const at::Tensor &vec, at::Tensor &out)
{
DO_COMPATIBILITY(aclnnMv, acl_op::mv_out(self, vec, out));
auto names = at::namedinference::propagate_names_for_addmv(self, vec, out);
npu_preparation::check_tensor({self, vec}, out, out.scalar_type(), {self.size(0)});
int8_t cube_math_type = op_plugin::utils::get_cube_math_type_with_passthrough();
EXEC_NPU_CMD(aclnnMv, self, vec, out, cube_math_type);
at::namedinference::propagate_names_if_nonempty(out, names);
return out;
}
at::Tensor mv(const at::Tensor &self, const at::Tensor &vec)
{
DO_COMPATIBILITY(aclnnMv, acl_op::mv(self, vec));
at::Tensor result;
if (self.has_names() || vec.has_names()) {
result = at::empty({self.size(0)}, vec.options());
} else {
result = npu_preparation::apply_tensor_without_format({self.size(0)}, vec.options());
}
auto names = at::namedinference::propagate_names_for_addmv(self, vec, result);
int8_t cube_math_type = op_plugin::utils::get_cube_math_type_with_passthrough();
EXEC_NPU_CMD(aclnnMv, self, vec, result, cube_math_type);
at::namedinference::propagate_names_if_nonempty(result, names);
return result;
}
}