List of Incomplete/Missing features

[Eli Belash]

• 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