#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"
namespace op_api {
using npu_preparation = at_npu::native::OpPreparation;
constexpr int DEFAULT_SCALES = -1;
at::Tensor &upsample_linear1d_out(const at::Tensor &self, at::IntArrayRef output_size, bool align_corners,
c10::optional<double> scales, at::Tensor &out)
{
DO_COMPATIBILITY(aclnnUpsampleLinear1d,
acl_op::upsample_linear1d_out(self, output_size, align_corners, scales, out));
auto outsize = op_infer::upsample_linear1d_npu_output_size(self, output_size);
npu_preparation::check_tensor({self}, out, self, outsize);
double scales_h_attr = scales.value_or(DEFAULT_SCALES);
EXEC_NPU_CMD(aclnnUpsampleLinear1d, self, output_size, align_corners, scales_h_attr, out);
return out;
}
at::Tensor upsample_linear1d(const at::Tensor &self, at::IntArrayRef output_size, bool align_corners,
c10::optional<double> scales)
{
DO_COMPATIBILITY(aclnnUpsampleLinear1d, acl_op::upsample_linear1d(self, output_size, align_corners, scales));
auto outsize = op_infer::upsample_linear1d_npu_output_size(self, output_size);
double scales_h_attr = scales.value_or(DEFAULT_SCALES);
at::Tensor result = npu_preparation::apply_tensor_without_format(outsize, self.options());
EXEC_NPU_CMD(aclnnUpsampleLinear1d, self, output_size, align_corners, scales_h_attr, result);
return result;
}
}