| 8 | using namespace mllm; // NOLINT |
| 9 | |
| 10 | class FooNet final : public nn::Module { |
| 11 | nn::Linear linear_0; |
| 12 | nn::Linear linear_1; |
| 13 | nn::Linear linear_2; |
| 14 | nn::Linear linear_3; |
| 15 | |
| 16 | public: |
| 17 | explicit FooNet(const std::string& name) : nn::Module(name) { |
| 18 | linear_0 = reg<nn::Linear>("linear_0", /*in_channels*/ 1024, /*out_channels*/ 2048); |
| 19 | linear_1 = reg<nn::Linear>("linear_1", /*in_channels*/ 1024, /*out_channels*/ 2048); |
| 20 | linear_2 = reg<nn::Linear>("linear_2", /*in_channels*/ 1024, /*out_channels*/ 2048); |
| 21 | linear_3 = reg<nn::Linear>("linear_3", /*in_channels*/ 1024, /*out_channels*/ 2048); |
| 22 | } |
| 23 | |
| 24 | std::vector<Tensor> forward(const std::vector<Tensor>& inputs, const std::vector<AnyValue>& args) override { |
| 25 | return { |
| 26 | linear_0(inputs[0]), |
| 27 | linear_1(inputs[0]), |
| 28 | linear_2(inputs[0]), |
| 29 | linear_3(inputs[0]), |
| 30 | }; |
| 31 | } |
| 32 | }; |
| 33 | |
| 34 | int main() { |
| 35 | mllm::initializeContext(); |