Torcyx

Torcyx is a extension of Cytnx Tensor network library with ML capability base on pytorch.

API documentation:

https://kaihsin.github.io/Torcyx/docs/html/index.html

Simple demo:

• C++ API:

  {c++}
      #include "torcyx.hpp"
      #include <torch/torch.h>
      #include <iostream>
  
      using namespace std;
      int main(int argc, char* argv[]){
         auto A = torch::ones({3,4});
         auto cA = torcyx::CyTensor(A,1);
  
         cA.print_diagram();
         cout << cA << endl;
  
      } 

• Python API:

  import torcyx
  import torch
  
  A = torch.ones([3,4])
  cA = torcyx.CyTensor(A,1)
  cA.print_diagram()
  print(cA)

• Output:

--------CyTensor-------
tensor Name : 
tensor Rank : 2
block_form  : false
is_diag     : False
TensorOptions(dtype=float, device=cpu, layout=Strided, requires_grad=false (default), pinned_memory=false (default), memory_format=(nullopt))
            -------------      
           /             \     
     0 ____| 3         4 |____ 1  
           \             /     
            -------------      
Tensor name: 
braket_form : False
is_diag    : False
 1  1  1  1
 1  1  1  1
 1  1  1  1
[ CPUFloatType{3,4} ]

For Contributors:

To build Torcyx, there are two dependency:

* 1. pytorch
* 2. cytnx 


Step:

1) install pytorch and cytnx
2) change the -DCYTNX_PATH to the path of installed cytnx directory. 
3) create a build folder:
    $mkdir build
    $cd build

4) copy compile.sh into build folder
5) execute compile.sh, and make
    $sh compile.sh
    $make 

Developer:

Kai-Hsin Wu: kaihsinwu@gmail.com