#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;
::std::tuple<at::Tensor, at::Tensor> npu_moe_token_permute_with_routing_map_grad_symint(
const at::Tensor& permuted_token_out_grad,
const c10::optional<at::Tensor>& probs_grad,
const at::Tensor& sorted_indices,
const at::Tensor& routing_map,
c10::SymInt experts_num,
c10::SymInt tokens_num,
bool drop_and_pad) {
auto token_num_int = tokens_num.expect_int();
auto experts_num_int = experts_num.expect_int();
auto output_size_0 = {token_num_int, permuted_token_out_grad.size(1)};
auto output_size_1 = {token_num_int, experts_num.expect_int()};
auto output_dtype_0 = permuted_token_out_grad.scalar_type();
at::Tensor out1 = npu_preparation::apply_tensor_without_format(
output_size_0, permuted_token_out_grad.options().dtype(output_dtype_0));
at::Tensor out2;
if (probs_grad.has_value() && probs_grad.value().defined()) {
out2 = npu_preparation::apply_tensor_without_format(
output_size_1, probs_grad.value().options().dtype(probs_grad.value().scalar_type()));
}
EXEC_NPU_CMD(
aclnnMoeTokenPermuteWithRoutingMapGrad,
permuted_token_out_grad,
probs_grad,
sorted_indices,
routing_map,
experts_num_int,
token_num_int,
drop_and_pad,
out1,
out2);
return std::make_tuple(std::move(out1), std::move(out2));
}
}