| @@ -50,11 +50,6 @@ const std::string IR_OPTION_LOG_LEVEL_DEFAULT = "default"; | |||
| const std::string IR_OPTION_BUFFER_OPTIMIZE_DEFAULT = "l2_optimize"; | |||
| const std::string IR_OPTION_DISABLE_REUSE_MEMORY_DEFAULT = "0"; | |||
| const std::string IR_OPTION_ENABLE_COMPRESS_WEIGHT_DEFAULT = "false"; | |||
| const std::string kInputShape = "input_shape"; | |||
| const std::string kInputFormat = "input_format"; | |||
| const std::string kReUseMemEnable = "1"; | |||
| const std::string kReUseMemDisEnable = "0"; | |||
| } // namespace | |||
| static graphStatus CheckGlobalOptions(std::map<std::string, std::string> &global_options) { | |||
| @@ -237,7 +232,6 @@ class Impl { | |||
| ModelBufferData &ge_models); | |||
| graphStatus InitDomiOmgContext(const string &input_shape, const string &input_format, const string &net_format, | |||
| bool is_dynamic_input); | |||
| graphStatus UpdateDataOpAttr(const Graph &graph); | |||
| void SetRtSocVersion(); | |||
| void UpdateThreadContext(); | |||
| void LoadOpsProto(); | |||
| @@ -248,40 +242,6 @@ class Impl { | |||
| OmgContext omg_context_; | |||
| }; | |||
| graphStatus Impl::UpdateDataOpAttr(const Graph &graph) { | |||
| GELOGD("Enter Update Data Attr Process!"); | |||
| if (options_.find(kInputShape) == options_.end()) { | |||
| return GRAPH_SUCCESS; | |||
| } | |||
| unordered_map<string, vector<int64_t>> shape_map; | |||
| vector<pair<string, vector<int64_t>>> user_shape_map; | |||
| GE_CHK_BOOL_EXEC(ParseInputShape(options_[kInputShape], shape_map, user_shape_map, true), | |||
| return GRAPH_PARAM_INVALID, "parse input shape failed!"); | |||
| auto compute_graph = ge::GraphUtils::GetComputeGraph(graph); | |||
| GE_CHECK_NOTNULL(compute_graph); | |||
| for (ge::NodePtr &input_node : compute_graph->GetDirectNode()) { | |||
| GE_CHECK_NOTNULL(input_node); | |||
| ge::OpDescPtr op = input_node->GetOpDesc(); | |||
| GE_CHECK_NOTNULL(op); | |||
| if (op->GetType() == DATA) { | |||
| auto tensor_input = op->MutableInputDesc(0); | |||
| auto tensor_output = op->MutableOutputDesc(0); | |||
| GE_CHECK_NOTNULL(tensor_input); | |||
| GE_CHECK_NOTNULL(tensor_output); | |||
| string data_op_name = op->GetName(); | |||
| auto iter = shape_map.find(data_op_name); | |||
| if (iter != shape_map.end()) { | |||
| tensor_input->SetShape(ge::GeShape(iter->second)); | |||
| tensor_output->SetShape(ge::GeShape(iter->second)); | |||
| GELOGD("update input [%s] shape info", data_op_name.c_str()); | |||
| } else { | |||
| GELOGI("no need update input [%s] attr because not found from input_shape.", data_op_name.c_str()); | |||
| } | |||
| } | |||
| } | |||
| return GRAPH_SUCCESS; | |||
| } | |||
| graphStatus Impl::CheckOptions(const std::map<std::string, std::string> &options) { | |||
| for (auto &ele : options) { | |||
| auto it = ge::ir_option::ir_builder_suppported_options.find(ele.first); | |||
| @@ -317,11 +277,6 @@ graphStatus Impl::CheckOptions(const std::map<std::string, std::string> &options | |||
| return GRAPH_PARAM_INVALID; | |||
| } | |||
| } | |||
| // Check option EXEC_DISABLE_REUSED_MEMORY | |||
| it = options_.find(ge::ir_option::EXEC_DISABLE_REUSED_MEMORY); | |||
| if (it != options_.end() && (CheckDisableReuseMemoryParamValid(it->second) != GRAPH_SUCCESS)) { | |||
| return GRAPH_PARAM_INVALID; | |||
| } | |||
| return GRAPH_SUCCESS; | |||
| } | |||
| @@ -368,10 +323,7 @@ graphStatus Impl::Init(const Graph &graph, const std::map<std::string, std::stri | |||
| GELOGE(ret, "User input options are illegal! Please check!"); | |||
| return ret; | |||
| } | |||
| ret = UpdateDataOpAttr(graph); | |||
| if (ret != GRAPH_SUCCESS) { | |||
| return ret; | |||
| } | |||
| std::string build_mode = (options_.find(BUILD_MODE) == options_.end() || options_[BUILD_MODE] == BUILD_MODE_NORMAL) | |||
| ? "" : options_[BUILD_MODE]; | |||
| options_[BUILD_MODE] = build_mode; | |||
| @@ -429,6 +381,7 @@ graphStatus Impl::Init(const Graph &graph, const std::map<std::string, std::stri | |||
| // for IR builder.Only support om mode, so here fixed; | |||
| options_.insert(std::pair<string, string>(string(IR_OPTION_MODE), to_string(0))); | |||
| options_.insert(std::pair<string, string>(string(IR_OPTION_TARGET), "mini")); | |||
| options_.insert(std::pair<string, string>(string(ge::RUN_FLAG), to_string(0))); | |||
| options_.insert(std::pair<string, string>(string(ge::TRAIN_FLAG), to_string(0))); | |||
| options_.insert(std::pair<string, string>(string(ge::SAVE_ORIGINAL_MODEL), to_string(0))); | |||
| @@ -468,52 +421,39 @@ void Impl::UpdateThreadContext() { | |||
| graphStatus Impl::CreateInputsForIRBuild(const ge::Graph &graph, vector<ge::GeTensor> &inputs) { | |||
| auto compute_graph = ge::GraphUtils::GetComputeGraph(graph); | |||
| GE_CHECK_NOTNULL(compute_graph); | |||
| int64_t index = 0; | |||
| for (ge::NodePtr &input_node : compute_graph->GetDirectNode()) { | |||
| GE_CHECK_NOTNULL(input_node); | |||
| ge::OpDescPtr op = input_node->GetOpDesc(); | |||
| GE_CHECK_NOTNULL(op); | |||
| if (op->GetType() == DATA) { | |||
| (void)AttrUtils::SetInt(op, ATTR_NAME_INDEX, index++); | |||
| GELOGD("Data op inputDesc size: %zu", op->GetAllInputsDesc().size()); | |||
| auto tensor = op->MutableInputDesc(0); | |||
| GE_CHECK_NOTNULL(tensor); | |||
| ge::GeTensorDesc tensor = op->GetInputDesc(0); | |||
| string data_op_name = op->GetName(); | |||
| GELOGD("Data op name: %s", data_op_name.c_str()); | |||
| ge::GeShape data_shape; | |||
| auto iter = omg_context_.input_dims.find(data_op_name); | |||
| if (iter != omg_context_.input_dims.end()) { | |||
| data_shape = ge::GeShape(iter->second); | |||
| GELOGD("Data op get shape from Context and update [%s] shape info", data_op_name.c_str()); | |||
| GELOGD("Data op get shape from Context."); | |||
| } else { | |||
| data_shape = tensor->GetShape(); | |||
| data_shape = tensor.GetShape(); | |||
| GELOGD("Data op get shape from InputDesc in ge ir graph."); | |||
| } | |||
| // If user point input format, do work for all data ops; else do according to tensor_desc | |||
| auto data_format = omg_context_.format != domi::DOMI_TENSOR_ND ? | |||
| ge::TypeUtils::DomiFormatToFormat(omg_context_.format) : tensor->GetFormat(); | |||
| ge::DataType data_type = tensor->GetDataType(); | |||
| ge::TypeUtils::DomiFormatToFormat(omg_context_.format) : tensor.GetFormat(); | |||
| ge::DataType data_type = tensor.GetDataType(); | |||
| string data_type_str = ge::TypeUtils::DataTypeToSerialString(data_type); | |||
| GELOGD("Data op get data type:%s from InputDesc in ge ir graph.", data_type_str.c_str()); | |||
| ge::GeTensor inputTensor; | |||
| ge::GeTensorDesc desc(data_shape, ge::Format(data_format), data_type); | |||
| inputTensor.SetTensorDesc(desc); | |||
| int64_t index = 0; | |||
| if (AttrUtils::GetInt(op, ATTR_NAME_INDEX, index)) { | |||
| AttrUtils::SetInt(desc, ATTR_NAME_INDEX, index); | |||
| } else { | |||
| GELOGE(GRAPH_PARAM_INVALID, "Get attr name idx failed!"); | |||
| return GRAPH_PARAM_INVALID; | |||
| } | |||
| inputs.emplace_back(inputTensor); | |||
| inputs.push_back(inputTensor); | |||
| } | |||
| } | |||
| std::sort(inputs.begin(), inputs.end(), [](ge::GeTensor a, ge::GeTensor b) { | |||
| int64_t data_idx_a = 0; | |||
| int64_t data_idx_b = 0; | |||
| AttrUtils::GetInt(a.MutableTensorDesc(), ATTR_NAME_INDEX, data_idx_a); | |||
| AttrUtils::GetInt(b.MutableTensorDesc(), ATTR_NAME_INDEX, data_idx_b); | |||
| return data_idx_a <= data_idx_b; | |||
| }); | |||
| GELOGD("CreateInputsForIRBuild, inputs size: %zu", inputs.size()); | |||
| return GRAPH_SUCCESS; | |||
| } | |||