Buckets:
| using namespace neuroflow; | |
| int main() { | |
| std::cout << "Simple forward test..." << std::endl; | |
| NeuroFlowModel::Config cfg; | |
| cfg.input_dim = 64; | |
| cfg.hidden_dim = 32; | |
| cfg.output_dim = 5; | |
| cfg.memory_slots = 8; | |
| cfg.memory_dim = 16; | |
| cfg.num_layers = 1; | |
| cfg.num_associations = 2; | |
| cfg.use_mla = false; | |
| NeuroFlowModel model(cfg); | |
| Tensor input({2, cfg.input_dim}); | |
| for (size_t i = 0; i < input.numel(); ++i) input.as_fp32()[i] = 0.1f * i; | |
| std::cout << "Calling forward..." << std::endl; | |
| auto output = model.forward(input); | |
| std::cout << "Success!" << std::endl; | |
| return 0; | |
| } | |
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- 717 Bytes
- Xet hash:
- e8521f936395d10d3e3e79b0a1323587aa83ea999a0b24541968a52a31504746
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