Print matrix, if matrix is larger the 3-dimension then donot print
| 442 | |
| 443 | // Print matrix, if matrix is larger the 3-dimension then donot print |
| 444 | void print() { |
| 445 | if(vals_host == nullptr){ |
| 446 | // always Synchronize to avoid read-write conflict |
| 447 | SynchronizeDevicetoHost(); |
| 448 | } |
| 449 | if(num_dims == 1){ |
| 450 | for (size_s j = 0; j < dimensions[0]; j++) { |
| 451 | if(CudaTypeMapper<T>::value == CUDA_R_64F || CudaTypeMapper<T>::value == CUDA_R_32F){ |
| 452 | std::printf("%1.3e, ", vals_host[j]); |
| 453 | } |
| 454 | else{ |
| 455 | std::printf("%d, ", vals_host[j]); |
| 456 | } |
| 457 | |
| 458 | } |
| 459 | std::printf("\n"); |
| 460 | }else if(num_dims == 2){ |
| 461 | for (size_s i = 0; i < dimensions[0]; i++) { |
| 462 | for (size_s j = 0; j < dimensions[1]; j++) { |
| 463 | if(CudaTypeMapper<T>::value == CUDA_R_64F || CudaTypeMapper<T>::value == CUDA_R_32F){ |
| 464 | std::printf("%1.3e, ", vals_host[j * dimensions[0] + i]); |
| 465 | } |
| 466 | else{ |
| 467 | std::printf("%d, ", vals_host[j * dimensions[0] + i]); |
| 468 | } |
| 469 | } |
| 470 | std::printf(";\n"); |
| 471 | } |
| 472 | }else{ |
| 473 | std::cout << "Matrix dimension larger than 2" << std::endl; |
| 474 | } |
| 475 | std::printf("\n"); |
| 476 | } |
| 477 | |
| 478 | ~DeviceDnTen() { |
| 479 | CHECK_CUDA(cudaSetDevice(this->gpu_id)); |
nothing calls this directly
no outgoing calls
no test coverage detected