In CUDA rule, cudaSetDevice() is necessary for cudaFree() or not?

Accelerated Computing CUDA CUDA Programming and Performance
#1

As CUDA doc(*1) says, we need to call cudaSetDevice(i) to allocate device memory on the specific device(id=i) before calling cudaMalloc().

However, how about cudaFree()? There are no mentions about cudaFree() in the doc.

Practically, I know cudaFree§ unallocates without cudaSetDevice() even if p is on other devices.

// nvcc main.cu && ./a.out
#include <iostream>
#include <cstdlib>
#include <unistd.h>

void checkResult(cudaError_t e){
   if(e != cudaSuccess) std::cerr << cudaGetErrorName(e) << std::endl;
}

int main(){
   void *ptr[2];
   for(int i = 0;i <2;i++){
       checkResult(cudaSetDevice(i));
       checkResult(cudaMalloc(ptr+i, 1024*1024*1024));
   }
   std::system("nvidia-smi"); // Memory-Usage +1024MiB on both devices

   checkResult(cudaSetDevice(0));
   checkResult(cudaFree(ptr[0]));
   checkResult(cudaFree(ptr[1]));
   sleep(10);
   std::system("nvidia-smi"); // Memory-Usage -1024MiB on both devices (not only in device 0)

   checkResult(cudaSetDevice(1));
   checkResult(cudaFree(ptr[0])); // cudaErrorInvalidDevicePointer
   checkResult(cudaFree(ptr[1])); // cudaErrorInvalidDevicePointer
   sleep(10);
   std::system("nvidia-smi"); // says Memory-Usage is not changed on both devices
}

I want to know whether that behavior depends on implementation (CUDA SDK versions) or meets CUDA specification.

I also know NCCL offical examples have both usage, with cudaSetDevice version(*2) and without(*3).

I need to know the rule to review our product codes.