| 47 | } |
| 48 | |
| 49 | int loadData(const std::string name, void* ptr, int size, halide_type_t dtype) { |
| 50 | std::ifstream stream(name.c_str()); |
| 51 | if (stream.fail()) { |
| 52 | return -1; |
| 53 | } |
| 54 | switch (dtype.code) { |
| 55 | case halide_type_float: { |
| 56 | auto data = static_cast<float*>(ptr); |
| 57 | for (int i = 0; i < size; ++i) { |
| 58 | double temp = 0.0f; |
| 59 | stream >> temp; |
| 60 | data[i] = temp; |
| 61 | } |
| 62 | } break; |
| 63 | case halide_type_int: { |
| 64 | MNN_ASSERT(dtype.bits == 32); |
| 65 | auto data = static_cast<int32_t*>(ptr); |
| 66 | for (int i = 0; i < size; ++i) { |
| 67 | int temp = 0; |
| 68 | stream >> temp; |
| 69 | data[i] = temp; |
| 70 | } |
| 71 | } break; |
| 72 | case halide_type_uint: { |
| 73 | MNN_ASSERT(dtype.bits == 8); |
| 74 | auto data = static_cast<uint8_t*>(ptr); |
| 75 | for (int i = 0; i < size; ++i) { |
| 76 | int temp = 0; |
| 77 | stream >> temp; |
| 78 | data[i] = temp; |
| 79 | } |
| 80 | } break; |
| 81 | default: { |
| 82 | stream.close(); |
| 83 | return -1; |
| 84 | } |
| 85 | } |
| 86 | |
| 87 | stream.close(); |
| 88 | return 0; |
| 89 | } |
| 90 | |
| 91 | MNN::Tensor* createTensor(const MNN::Tensor* shape, const std::string name) { |
| 92 | auto result = new MNN::Tensor(shape, shape->getDimensionType()); |
no test coverage detected