PyTorch

my_tensor = torch. Tensor([[1,2,3],[4,5,6]], dtype = torch.float32)

PyToCs

using System.Collections.Generic;
public static class testModule {
    
    public object my_tensor = torch.tensor(new List<object> {
        new List<object> {
            1,
            2,
            3
        },
        new List<object> {
            4,
            5,
            6
        }
    }, dtype: torch.float32);
}

Desired c# TorchSharp's python way

var my_tensor = torch. Tensor(new int[,]{{1,2,3},{3,5,6}}, ScalarType.Float32)

In PyToCs terms

• FieldName: my_tensor
• Method: torch.tesnsor()
• Arguments:
  • [[1,2,3], [4,5,6]]
  • dtype = torch.float32

suggestion

Once torch is detected in method, TorchSharp specific argument translation is applied

• [[1,2,3], [4,5,6]] => new int[,]{{1,2,3},{3,5,6}}
• dtype: torch.float32 => ScalarType.Float32

I need idea which part of the PyToCs codes for implementing the TorchSharp specific statement translation