List of Incomplete/Missing features

[Nucs]

• [ ] torch.nn.Module is very incomplete
  • [ ] torch.nn.Module.forward should return Tensor and accept single Tensor instead of an array.
  • [ ] all methods should be overridable via virtual
• [ ] Tensor.require_grad missing a setter.]
• [ ] Tensor.GetData should use Buffer.MemoryCopy(); with fixing the return array instead of Marshal.Copy which is slower.
• [ ] Tensor should implement IComparable<Tensor> and IComparable
• [ ] BoolTensor.all and .any.
• [ ] Tensor accessing with ... or :
• [ ] Consistent math operators between similar generic Tensor, e.g. Tensor<double> * Tensor<double> shall return Tensor<double>
• [ ] Comparing tensor operators should return Tensor
• [ ] Comparing operators against scalar values

       public static Tensor<bool> operator >=(long left, IndicatorBase right) {
           if (ReferenceEquals(right, null)) return Constants.False;
           return (Tensor<bool>) (left >= right.Current);
       }
  

• [ ] torch.tensor(void*, ...) and torch.tensor(IntPtr, ...) overload
• [ ] Tensor[PyObject[]] for faster invoke