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26d5b81 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | #include <iostream>
#include "../include/neuroflow/tensor.hpp"
using namespace neuroflow;
int main() {
std::cout << "GEMM detail test..." << std::endl;
Tensor A({2, 64}); // input
Tensor B({32, 64}); // weight
Tensor C({2, 32}); // output
std::cout << "A shape: [" << A.shape_[0] << ", " << A.shape_[1] << "]" << std::endl;
std::cout << "B shape: [" << B.shape_[0] << ", " << B.shape_[1] << "]" << std::endl;
std::cout << "C shape: [" << C.shape_[0] << ", " << C.shape_[1] << "]" << std::endl;
// Fill data
float* a = A.as_fp32();
float* b = B.as_fp32();
for (size_t i = 0; i < A.numel(); ++i) a[i] = 0.1f * i;
for (size_t i = 0; i < B.numel(); ++i) b[i] = 0.01f * i;
std::cout << "Calling gemm..." << std::endl;
TensorOps::gemm(A, B, C); // C = A @ B^T ?
std::cout << "C numel: " << C.numel() << std::endl;
std::cout << "C data_size: " << C.data_size_ << std::endl;
float* c = C.as_fp32();
std::cout << "First 5 C values: ";
for (size_t i = 0; i < 5; ++i) std::cout << c[i] << " ";
std::cout << std::endl;
std::cout << "After gemm, trying to allocate new tensor..." << std::endl;
Tensor new_t({10});
std::cout << "Success!" << std::endl;
return 0;
}
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