from review: use as_strided() to create a view

aten/src/ATen/DLConvertor.cpp

@@ -209,43 +209,41 @@ struct ATenDLMTensor {
 };
 
 void deleter(DLManagedTensor* arg) {
-  delete [] arg->dl_tensor.strides;
   delete static_cast<ATenDLMTensor*>(arg->manager_ctx);
 }
 
 // This function returns a shared_ptr to memory managed DLpack tensor
 // constructed out of ATen tensor
 DLManagedTensor* toDLPack(const Tensor& src) {
+  // create a new tensor with possibly normalized strides
+  // gh-83069
+  auto shape = src.sizes();
+  auto strides = src.strides().vec();
+  for (int i=0; i<src.dim(); i++) {
+    if (shape[i] < 2) {
+      strides[i] = 1;
+    }
+  }
+
+  auto view = src.as_strided(shape, strides, src.storage_offset());
   ATenDLMTensor* atDLMTensor(new ATenDLMTensor);
-  atDLMTensor->handle = src;
+  atDLMTensor->handle = view;
   atDLMTensor->tensor.manager_ctx = atDLMTensor;
   atDLMTensor->tensor.deleter = &deleter;
-  atDLMTensor->tensor.dl_tensor.data = src.data_ptr();
+  atDLMTensor->tensor.dl_tensor.data = view.data_ptr();
   int64_t device_id = 0;
   if (src.is_cuda()) {
     device_id = src.get_device();
   }
   atDLMTensor->tensor.dl_tensor.device = getDLDevice(src, device_id);
   atDLMTensor->tensor.dl_tensor.ndim = src.dim();
   atDLMTensor->tensor.dl_tensor.dtype = getDLDataType(src);
-  // Normalize the strides to 1 wherever shape < 2
-  // gh-83069
-  auto shape = src.sizes().data();
-  int64_t *strides = new int64_t[src.dim()];
-  for (int i=0; i<src.dim(); i++) {
-    if (shape[i] < 2) {
-      strides[i] = 1;
-    }
-    else {
-      strides[i] = src.strides()[i];
-    }
-  }
   atDLMTensor->tensor.dl_tensor.shape =
       // NOLINTNEXTLINE(cppcoreguidelines-pro-type-const-cast)
-      const_cast<int64_t*>(shape);
+      const_cast<int64_t*>(view.sizes().data());
   atDLMTensor->tensor.dl_tensor.strides =
       // NOLINTNEXTLINE(cppcoreguidelines-pro-type-const-cast)
-      const_cast<int64_t*>(strides);
+      const_cast<int64_t*>(view.strides().data());
   atDLMTensor->tensor.dl_tensor.byte_offset = 0;
   return &(atDLMTensor->tensor);
 }