update the opr weights index with the init weight, if origin weights is no need, share it or free it
| 57 | //! update the opr weights index with the init weight, if |
| 58 | //! origin weights is no need, share it or free it |
| 59 | static void postprocess_weight_memory( |
| 60 | Opr* opr, DeviceModel* model, Tensor* new_weight) { |
| 61 | for (int j = 0; j < opr->nr_input; j++) { |
| 62 | Tensor* old_weight = (Tensor*)(*(opr->inputs + j)); |
| 63 | //! FIXME: maybe name is not suitable |
| 64 | if (new_weight->name == old_weight->name) { |
| 65 | TINYNN_ASSERT(new_weight->name != NULL); |
| 66 | LOG_DEBUG( |
| 67 | "opr symbol %s preprocessed weights " |
| 68 | ":%s.\n", |
| 69 | opr->type, old_weight->name); |
| 70 | old_weight->use_count -= 1; |
| 71 | if (old_weight->use_count <= 0) { |
| 72 | if (!old_weight->is_shared) { |
| 73 | model->device.free(old_weight->ptr); |
| 74 | old_weight->ptr = NULL; |
| 75 | LOG_DEBUG( |
| 76 | "opr symbol %s free preprocessed weights: % s.\n ", |
| 77 | opr->type, old_weight->name); |
| 78 | } else if (old_weight->size >= new_weight->size) { |
| 79 | memcpy(old_weight->ptr, new_weight->ptr, new_weight->size); |
| 80 | model->device.free(new_weight->ptr); |
| 81 | LOG_DEBUG( |
| 82 | "processed weights share memory with old " |
| 83 | "weights\n"); |
| 84 | new_weight->ptr = old_weight->ptr; |
| 85 | new_weight->is_shared = 1; |
| 86 | } |
| 87 | } |
| 88 | *(opr->inputs + j) = new_weight; |
| 89 | break; |
| 90 | } |
| 91 | } |
| 92 | } |
| 93 | |
| 94 | static size_t get_opr_weights_process_size( |
| 95 | Opr* opr, DeviceModel* model, Tensor* weight) { |
no test coverage detected