| using namespace neuroflow; | |
| int main() { | |
| std::cout << "Clone test..." << std::endl; | |
| Tensor x({2, 32}); | |
| float* xd = x.as_fp32(); | |
| for (size_t i = 0; i < x.numel(); ++i) xd[i] = 0.1f * i; | |
| std::cout << "Cloning..." << std::endl; | |
| Tensor cloned = x.clone(); | |
| std::cout << "cloned shape: [" << cloned.shape_[0] << ", " << cloned.shape_[1] << "]" << std::endl; | |
| std::cout << "cloned numel: " << cloned.numel() << std::endl; | |
| std::cout << "cloned data_size: " << cloned.data_size_ << std::endl; | |
| float* cd = cloned.as_fp32(); | |
| std::cout << "First 5 values: "; | |
| for (size_t i = 0; i < 5; ++i) std::cout << cd[i] << " "; | |
| std::cout << std::endl; | |
| std::cout << "Success!" << std::endl; | |
| return 0; | |
| } | |