| 34 | using namespace MNN; |
| 35 | |
| 36 | static void compareNet(Interpreter* net, Interpreter* net2, MNNForwardType expectType, float tolerance, |
| 37 | const std::map<std::string, std::shared_ptr<Tensor>>& inputs, const std::string& stopOp, BackendConfig::PrecisionMode precision, int modeNum) { |
| 38 | std::vector<std::shared_ptr<MNN::Tensor>> correctResult; |
| 39 | int index; |
| 40 | MNN::ScheduleConfig expectConfig; |
| 41 | BackendConfig backendConfig; |
| 42 | backendConfig.precision = precision; |
| 43 | expectConfig.type = expectType; |
| 44 | expectConfig.backendConfig = &backendConfig; |
| 45 | expectConfig.mode = modeNum; |
| 46 | auto expectSession = net->createSession(expectConfig); |
| 47 | auto compareSession = net2->createSession(expectConfig); |
| 48 | |
| 49 | bool allCorrect = true; |
| 50 | |
| 51 | MNN::TensorCallBackWithInfo beginCallBack = [&](const std::vector<MNN::Tensor*>& t, const OperatorInfo* op) { |
| 52 | if (op->name() == stopOp) { |
| 53 | return false; |
| 54 | } |
| 55 | return true; |
| 56 | }; |
| 57 | MNN::TensorCallBackWithInfo saveExpect = [&](const std::vector<MNN::Tensor*>& t, const OperatorInfo* op) { |
| 58 | if (op->name() == stopOp) { |
| 59 | return false; |
| 60 | } |
| 61 | if (op->type() == "Raster") { |
| 62 | return true; |
| 63 | } |
| 64 | for (int i=0; i<t.size(); ++i) { |
| 65 | auto tensor = t[i]; |
| 66 | if (tensor->elementSize() <= 0) { |
| 67 | return true; |
| 68 | } |
| 69 | if (tensor->buffer().device == 0 && tensor->buffer().host == nullptr) { |
| 70 | return true; |
| 71 | } |
| 72 | std::shared_ptr<MNN::Tensor> copyTensor(MNN::Tensor::createHostTensorFromDevice(tensor, true)); |
| 73 | correctResult.emplace_back(copyTensor); |
| 74 | } |
| 75 | return true; |
| 76 | }; |
| 77 | MNN::TensorCallBackWithInfo compareExpect = [&](const std::vector<MNN::Tensor*>& t, const OperatorInfo* op) { |
| 78 | if (op->name() == stopOp) { |
| 79 | return false; |
| 80 | } |
| 81 | if (op->type() == "Raster") { |
| 82 | return true; |
| 83 | } |
| 84 | for (int i=0; i<t.size(); ++i) { |
| 85 | auto tensor = t[i]; |
| 86 | if (tensor->elementSize() <= 0) { |
| 87 | return true; |
| 88 | } |
| 89 | if (tensor->buffer().device == 0 && tensor->buffer().host == nullptr) { |
| 90 | return true; |
| 91 | } |
| 92 | std::shared_ptr<MNN::Tensor> copyTensor(MNN::Tensor::createHostTensorFromDevice(tensor, true)); |
| 93 | auto expectTensor = correctResult[index++]; |
no test coverage detected