cwenzi/neuroflow-cpp

1#include <iostream>2#include "../include/neuroflow/tensor.hpp"3 4using namespace neuroflow;5 6int main() {7    std::cout << "GEMM detail test..." << std::endl;8    9    Tensor A({2, 64});  // input10    Tensor B({32, 64}); // weight11    Tensor C({2, 32});  // output12    13    std::cout << "A shape: [" << A.shape_[0] << ", " << A.shape_[1] << "]" << std::endl;14    std::cout << "B shape: [" << B.shape_[0] << ", " << B.shape_[1] << "]" << std::endl;15    std::cout << "C shape: [" << C.shape_[0] << ", " << C.shape_[1] << "]" << std::endl;16    17    // Fill data18    float* a = A.as_fp32();19    float* b = B.as_fp32();20    for (size_t i = 0; i < A.numel(); ++i) a[i] = 0.1f * i;21    for (size_t i = 0; i < B.numel(); ++i) b[i] = 0.01f * i;22    23    std::cout << "Calling gemm..." << std::endl;24    TensorOps::gemm(A, B, C);  // C = A @ B^T ?25    26    std::cout << "C numel: " << C.numel() << std::endl;27    std::cout << "C data_size: " << C.data_size_ << std::endl;28    29    float* c = C.as_fp32();30    std::cout << "First 5 C values: ";31    for (size_t i = 0; i < 5; ++i) std::cout << c[i] << " ";32    std::cout << std::endl;33    34    std::cout << "After gemm, trying to allocate new tensor..." << std::endl;35    Tensor new_t({10});36    37    std::cout << "Success!" << std::endl;38    return 0;39}40