#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;
at::Tensor linspace(const at::Scalar& start, const at::Scalar& end, int64_t steps,
c10::optional<at::ScalarType> dtype_opt, c10::optional<at::Layout> layout_opt,
c10::optional<at::Device> device_opt, c10::optional<bool> pin_memory_opt)
{
DO_COMPATIBILITY(aclnnLinspace, acl_op::linspace(start, end, steps, dtype_opt, layout_opt, device_opt, pin_memory_opt));
TORCH_CHECK(steps >= 0, "number of steps must be non-negative", OPS_ERROR(ErrCode::VALUE));
c10::TensorOptions option =
c10::TensorOptions().dtype(dtype_opt).device(device_opt).layout(layout_opt).pinned_memory(pin_memory_opt);
at::SmallVector<int64_t, op_infer::SIZE> output_size = {steps};
at::Tensor result = npu_preparation::apply_tensor_without_format(output_size, option);
EXEC_NPU_CMD(aclnnLinspace, start, end, steps, result);
return result;
}
at::Tensor& linspace_out(const at::Scalar& start, const at::Scalar& end, int64_t steps, at::Tensor& result)
{
DO_COMPATIBILITY(aclnnLinspace, acl_op::linspace_out(start, end, steps, result));
TORCH_CHECK(steps >= 0, "number of steps must be non-negative", OPS_ERROR(ErrCode::VALUE));
if (result.numel() != steps) {
result.resize_({steps});
}
EXEC_NPU_CMD(aclnnLinspace, start, end, steps, result);
return result;
}
}