#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/utils/OpAdapter.h"
namespace acl_op {
using npu_preparation = at_npu::native::OpPreparation;
using npu_utils = at_npu::native::NpuUtils;
namespace {
at::Tensor& logaddexp2_out_npu_nocheck(at::Tensor& result, const at::Tensor& self, const at::Tensor& other) {
at_npu::native::OpCommand cmd;
cmd.Name("LogAddExp")
.Input(self)
.Input(other)
.Output(result)
.Attr("base", (float)2.0)
.Attr("scale", (float)1.0)
.Attr("shift", (float)0.0)
.Run();
return result;
}
}
at::Tensor& logaddexp2_out(const at::Tensor& self, const at::Tensor& other, at::Tensor& result) {
auto output_size = op_infer::broadcast_ops_npu_output_size(self, other);
npu_preparation::CheckOut(
{self},
result,
self,
output_size);
if (!npu_utils::check_match(&result)) {
at::Tensor contiguous_result = npu_utils::format_contiguous(result);
logaddexp2_out_npu_nocheck(contiguous_result, self, other);
npu_utils::format_fresh_view(result, contiguous_result);
} else {
logaddexp2_out_npu_nocheck(result, self, other);
}
return result;
}
at::Tensor logaddexp2(const at::Tensor& self, const at::Tensor& other) {
auto output_size = op_infer::broadcast_ops_npu_output_size(self, other);
at::Tensor result = npu_preparation::apply_tensor(self, output_size);
logaddexp2_out_npu_nocheck(result, self, other);
return result;
}
}