| 26 | namespace imperative { |
| 27 | |
| 28 | VarNodeArray TraceResult::dump( |
| 29 | ComputingGraph& graph, |
| 30 | std::vector<std::tuple<size_t, std::string, TensorShape>> inputs, |
| 31 | std::vector<std::pair<size_t, std::string>> outputs, bool prefer_input_names) { |
| 32 | // var -> VarNode |
| 33 | std::vector<VarNode*> nodes(vars.size(), nullptr); |
| 34 | auto get_compnode = [](const VarInfo& info) -> CompNode { |
| 35 | auto& orig_cn = *(info.device); |
| 36 | std::string device_name_prefix = |
| 37 | orig_cn.locator_logical().to_string().substr(0, 3); |
| 38 | if (device_name_prefix == "cpu" || device_name_prefix == "gpu" || |
| 39 | device_name_prefix == "xpu") { |
| 40 | return CompNode::load("xpux"); |
| 41 | } |
| 42 | return orig_cn; |
| 43 | }; |
| 44 | // make h2d node for each input |
| 45 | for (auto&& [input, name, shape] : inputs) { |
| 46 | auto& var = vars[input]; |
| 47 | auto& node = nodes[input]; |
| 48 | |
| 49 | auto host = |
| 50 | std::make_shared<HostTensorND>(get_compnode(var), shape, *var.dtype); |
| 51 | OperatorNodeConfig config; |
| 52 | // if prefer_input_names, prefer names from dump args |
| 53 | // else prefer names got from trace procedure |
| 54 | if (prefer_input_names && !name.empty()) { |
| 55 | config.name(name); |
| 56 | } else if (!var.name.empty()) { |
| 57 | config.name(var.name); |
| 58 | } else if (!name.empty()) { |
| 59 | config.name(name); |
| 60 | } |
| 61 | node = opr::Host2DeviceCopy::make(graph, host, {}, config).node(); |
| 62 | } |
| 63 | // make const node for each constant |
| 64 | for (size_t i = 0; i < vars.size(); ++i) { |
| 65 | auto& var = vars[i]; |
| 66 | auto& node = nodes[i]; |
| 67 | if (!node) { |
| 68 | if (var.kind != VarKind::Internal) { |
| 69 | if (!var.bound_data) { |
| 70 | continue; |
| 71 | } |
| 72 | if (!var.name.empty()) { |
| 73 | node = opr::ImmutableTensor::make( |
| 74 | graph, var.bound_data.numpy()->as_nd(), {var.name}) |
| 75 | .node(); |
| 76 | } else { |
| 77 | node = opr::ImmutableTensor::make( |
| 78 | graph, var.bound_data.numpy()->as_nd()) |
| 79 | .node(); |
| 80 | } |
| 81 | } |
| 82 | } |
| 83 | } |
| 84 | std::unordered_map<std::string, std::vector<cg::OperatorNodeBase*>> name2ops; |
| 85 | // iterate over opr_seq |
nothing calls this directly
no test coverage detected