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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 | #include <iostream>
#include "../include/neuroflow/tensor.hpp"
#include "../include/neuroflow/networks.hpp"
using namespace neuroflow;
int main() {
std::cout << "Linear forward test..." << std::endl;
Linear linear(64, 64, false); // use_bias = false
std::cout << "weight shape: [" << linear.weight.shape_[0] << ", " << linear.weight.shape_[1] << "]" << std::endl;
std::cout << "quantized: " << linear.quantized << std::endl;
Tensor input({1, 64});
std::cout << "input shape: [" << input.shape_[0] << ", " << input.shape_[1] << "]" << std::endl;
float* d = input.as_fp32();
for (size_t i = 0; i < input.numel(); ++i) d[i] = 0.1f * i;
std::cout << "Calling linear.forward(input)..." << std::endl;
Tensor output = linear.forward(input);
std::cout << "output shape: [" << output.shape_[0] << ", " << output.shape_[1] << "]" << std::endl;
std::cout << "Success!" << std::endl;
return 0;
}
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