[BUG] The exercises in notebooks may be updated. Some of them cannot be compiled successfully.

[AtomicVar]

Describe the bug
The simple example MatX/docs_input/notebooks/exercises/example2_tensor_add.cu cannot be compiled successfully.

To Reproduce
The current version of the code is

#include <matx.h>

using namespace matx;

int main() {

  tensorShape_t<2> shape({2, 3});
  tensor_t<float, 2> A(shape);
  tensor_t<float, 2> B(shape);
  tensor_t<float, 2> C(shape);
  tensor_t<float, 1> V({3});

  A.SetVals({ {1, 2, 3},
        {4, 5, 6}});
  
  B.SetVals({ {7, 8, 9},
        {10, 11, 12}});

  // TODO: Add tensors A and B and store the result in C

  
  A.Print();
  printf("\n");
  B.Print();
  printf("\n");
  C.Print();
}

If I change it to

#include <matx.h>

using namespace matx;

int main() {
  tensor_t<float, 2> A({2, 3});
  tensor_t<float, 2> B({2, 3});
  tensor_t<float, 2> C({2, 3});
  tensor_t<float, 1> V({3});

  A.SetVals({ {1, 2, 3},
        {4, 5, 6}});
  
  B.SetVals({ {7, 8, 9},
        {10, 11, 12}});

  // TODO: Add tensors A and B and store the result in C
  
  A.Print(0, 0);
  printf("\n");
  B.Print(0, 0);
  printf("\n");
  C.Print(0, 0);
}

It works.

Expected behavior
The examples should be compiled and work.

System details (please complete the following information):

• OS: 20.04
• CUDA version: CUDA 11.4
• g++ version: 9.3.0
• Codebase commit: d22dc84

Additional context
Add any other context about the problem here.

[luitjens]

Thank you, this was an oversight. Can you submit a pull request with your fixes?