torch_npu support aclnn

Author: momo609

mmcv/ops/csrc/common/pytorch_npu_helper.hpp

@@ -18,7 +18,6 @@
 #ifndef PYTORCH_NPU_HELPER_HPP_
 #define PYTORCH_NPU_HELPER_HPP_
 
-#include <torch_npu/csrc/aten/CustomFunctions.h>
 #include <torch_npu/csrc/framework/utils/CalcuOpUtil.h>
 #include <torch_npu/csrc/framework/utils/OpAdapter.h>
 

mmcv/ops/csrc/pytorch/npu/focal_loss_npu.cpp

@@ -100,7 +100,16 @@ void softmax_focal_loss_forward_npu(Tensor input, Tensor target, Tensor weight,
   c10::SmallVector<int64_t, 2> sizes = {n_batch, 1};
   at::IntArrayRef offset = at::IntArrayRef(offsets);
   at::IntArrayRef size = at::IntArrayRef(sizes);
-  at_npu::native::custom_ops::npu_slice_out(op_output, offset, size, output);
+  at::IntArrayRef size_array = at::IntArrayRef(sizes);
+  c10::SmallVector<int64_t, N> offsetVec = array_to_small_vector(offset);
+  c10::SmallVector<int64_t, N> sizeVec = array_to_small_vector(size_array);
+  OpCommand cmd2;
+  cmd2.Name("Slice")
+      .Input(op_output)
+      .Input(offsetVec)
+      .Input(sizeVec)
+      .Output(output)
+      .Run();
 }
 
 void softmax_focal_loss_forward_impl(Tensor input, Tensor target, Tensor weight,