File size: 1,164 Bytes
fb6457c | 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 41 42 43 44 45 46 47 48 | #include "bsh_engine.hpp"
namespace bsh {
Engine::Engine() : initialized_(false) {}
Engine::~Engine() = default;
void Engine::initialize() {
initialized_ = true;
}
void Engine::process(const Tensor& input, Tensor& output) {
if (!initialized_) {
throw std::runtime_error("Engine not initialized");
}
if (input.rows() != output.rows() || input.cols() != output.cols()) {
throw std::runtime_error("Input/output tensor dimension mismatch");
}
// Copy input to output for now (placeholder)
for (size_t i = 0; i < input.size(); ++i) {
output.data()[i] = input.data()[i];
}
}
void Engine::shutdown() {
state_.clear();
initialized_ = false;
}
std::string Engine::get_version() const {
return "BSH_Engine v1.0.0";
}
std::string Engine::get_status() const {
return initialized_ ? "READY" : "UNINITIALIZED";
}
void Engine::apply_attention(const Tensor& query, const Tensor& key,
const Tensor& value, Tensor& output) {
// Placeholder attention implementation
// In production, this would compute: softmax(Q*K^T/sqrt(d_k)) * V
}
} // namespace bsh
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