| @@ -6,6 +6,7 @@ set(_DEBUG_SRC_LIST | |||
| "${CMAKE_CURRENT_SOURCE_DIR}/info.cc" | |||
| "${CMAKE_CURRENT_SOURCE_DIR}/label.cc" | |||
| "${CMAKE_CURRENT_SOURCE_DIR}/trace_info.cc" | |||
| "${CMAKE_CURRENT_SOURCE_DIR}/trace_base.cc" | |||
| "${CMAKE_CURRENT_SOURCE_DIR}/trace.cc" | |||
| ) | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -20,7 +20,7 @@ | |||
| #include <sstream> | |||
| #include <climits> | |||
| #include "ir/anf.h" | |||
| #include "utils/convert_utils.h" | |||
| #include "utils/convert_utils_base.h" | |||
| namespace mindspore { | |||
| std::string HighLightLine(const std::string &line, int col_begin, int col_end, SourceLineTip tip) { | |||
| @@ -54,91 +54,6 @@ std::string GetAbstractStr(const abstract::AbstractBasePtr &abs) { | |||
| return oss.str(); | |||
| } | |||
| std::vector<DebugInfoPtr> GetSourceCodeDebugInfoVec(DebugInfoPtr debug_info) { | |||
| std::vector<DebugInfoPtr> debug_with_loc_vec; | |||
| while (debug_info != nullptr) { | |||
| if (debug_info->location() != nullptr) { | |||
| debug_with_loc_vec.push_back(debug_info); | |||
| } | |||
| if (debug_info->trace_info() != nullptr) { | |||
| debug_info = debug_info->trace_info()->debug_info(); | |||
| } else { | |||
| break; | |||
| } | |||
| } | |||
| return debug_with_loc_vec; | |||
| } | |||
| DebugInfoPtr GetSourceCodeDebugInfo(const DebugInfoPtr &info) { | |||
| auto debug_with_loc_vec = GetSourceCodeDebugInfoVec(info); | |||
| if (debug_with_loc_vec.size() > 0) { | |||
| return debug_with_loc_vec[0]; | |||
| } else { | |||
| return info; | |||
| } | |||
| } | |||
| std::string GetDebugInfo(const DebugInfoPtr &info, SourceLineTip tip) { | |||
| if (info == nullptr) { | |||
| return ""; | |||
| } | |||
| auto src_info = GetSourceCodeDebugInfo(info); | |||
| if (src_info->location() != nullptr) { | |||
| return src_info->location()->ToString(tip); | |||
| } | |||
| return ""; | |||
| } | |||
| // a trace info identifies a node transform, so we can trace the node transform through | |||
| // a link of trace info and debug info | |||
| std::string GetInfoWithAction(const std::vector<DebugInfoPtr> &info_vec, SourceLineTip tip) { | |||
| if (info_vec.size() < 1) { | |||
| return ""; | |||
| } | |||
| if (info_vec.size() == 1) { | |||
| return info_vec[0]->location()->ToString(tip); | |||
| } | |||
| std::string traced_info = info_vec[0]->location()->ToString(tip); | |||
| for (size_t i = 1; i < info_vec.size(); i++) { | |||
| auto action_name = info_vec[i - 1]->trace_info()->GetActionBetweenNode(info_vec[i]); | |||
| if (action_name == "") { | |||
| break; | |||
| } | |||
| traced_info = traced_info + action_name + info_vec[i]->location()->ToString(tip); | |||
| } | |||
| return traced_info; | |||
| } | |||
| std::string GetTracedDebugInfo(const DebugInfoPtr &info, SourceLineTip tip) { | |||
| if (info == nullptr) { | |||
| return ""; | |||
| } | |||
| auto info_vec = GetSourceCodeDebugInfoVec(info); | |||
| if (info_vec.size() == 0) { | |||
| return ""; | |||
| } else if (info_vec.size() == 1) { | |||
| return info_vec[0]->location()->ToString(tip); | |||
| } else if (info_vec.size() > 1) { | |||
| return GetInfoWithAction(info_vec, tip); | |||
| } | |||
| return ""; | |||
| } | |||
| std::string GetDebugInfo(const DebugInfoPtr &info, const std::string &prefix, SourceLineTip tip) { | |||
| std::ostringstream oss; | |||
| if (info == nullptr) { | |||
| return ""; | |||
| } | |||
| auto debug_info = GetTracedDebugInfo(info, tip); | |||
| if (tip == kSourceLineTipDiscard) { | |||
| std::replace(debug_info.begin(), debug_info.end(), '\r', '/'); | |||
| std::replace(debug_info.begin(), debug_info.end(), '\n', '/'); | |||
| } | |||
| oss << prefix << debug_info; | |||
| return oss.str(); | |||
| } | |||
| std::string GetGraphParamString(const FuncGraphPtr &graph, abstract::AbstractBasePtrList args_spec_list) { | |||
| std::ostringstream oss; | |||
| oss << "graph:" << graph->ToString() << " with args["; | |||
| @@ -23,17 +23,15 @@ | |||
| #include <utility> | |||
| #include <stack> | |||
| #include "debug/trace_base.h" | |||
| #include "debug/info.h" | |||
| #include "ir/anf.h" | |||
| #include "utils/any.h" | |||
| #include "ir/func_graph.h" | |||
| #include "debug/info.h" | |||
| #include "pipeline/static_analysis/static_analysis.h" | |||
| #include "utils/any.h" | |||
| namespace mindspore { | |||
| namespace trace { | |||
| std::string GetDebugInfo(const DebugInfoPtr &info, SourceLineTip tip = kSourceLineTipNextLine); | |||
| std::string GetDebugInfo(const DebugInfoPtr &info, const std::string &prefix, | |||
| SourceLineTip tip = kSourceLineTipNextLine); | |||
| DebugInfoPtr GetSourceCodeDebugInfo(const DebugInfoPtr &info); | |||
| void TraceGraphEval(); | |||
| void GetEvalStackInfo(std::ostringstream &oss); | |||
| @@ -0,0 +1,120 @@ | |||
| /** | |||
| * Copyright 2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| * You may obtain a copy of the License at | |||
| * | |||
| * http://www.apache.org/licenses/LICENSE-2.0 | |||
| * | |||
| * Unless required by applicable law or agreed to in writing, software | |||
| * distributed under the License is distributed on an "AS IS" BASIS, | |||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
| * See the License for the specific language governing permissions and | |||
| * limitations under the License. | |||
| */ | |||
| #include "debug/trace_base.h" | |||
| #include <iostream> | |||
| #include <fstream> | |||
| #include <map> | |||
| #include <unordered_map> | |||
| #include <vector> | |||
| #include <string> | |||
| #include <sstream> | |||
| #include <utility> | |||
| #include <stack> | |||
| #include <algorithm> | |||
| #include "utils/graph_utils.h" | |||
| namespace mindspore { | |||
| // namespace to support debug trace infomation | |||
| namespace trace { | |||
| std::vector<DebugInfoPtr> GetSourceCodeDebugInfoVec(DebugInfoPtr debug_info) { | |||
| std::vector<DebugInfoPtr> debug_with_loc_vec; | |||
| while (debug_info != nullptr) { | |||
| if (debug_info->location() != nullptr) { | |||
| debug_with_loc_vec.push_back(debug_info); | |||
| } | |||
| if (debug_info->trace_info() != nullptr) { | |||
| debug_info = debug_info->trace_info()->debug_info(); | |||
| } else { | |||
| break; | |||
| } | |||
| } | |||
| return debug_with_loc_vec; | |||
| } | |||
| DebugInfoPtr GetSourceCodeDebugInfo(const DebugInfoPtr &info) { | |||
| auto debug_with_loc_vec = GetSourceCodeDebugInfoVec(info); | |||
| if (debug_with_loc_vec.size() > 0) { | |||
| return debug_with_loc_vec[0]; | |||
| } else { | |||
| return info; | |||
| } | |||
| } | |||
| std::string GetDebugInfo(const DebugInfoPtr &info, SourceLineTip tip) { | |||
| if (info == nullptr) { | |||
| return ""; | |||
| } | |||
| auto src_info = GetSourceCodeDebugInfo(info); | |||
| if (src_info->location() != nullptr) { | |||
| return src_info->location()->ToString(tip); | |||
| } | |||
| return ""; | |||
| } | |||
| // a trace info identifies a node transform, so we can trace the node transform through | |||
| // a link of trace info and debug info | |||
| std::string GetInfoWithAction(const std::vector<DebugInfoPtr> &info_vec, SourceLineTip tip) { | |||
| if (info_vec.size() < 1) { | |||
| return ""; | |||
| } | |||
| if (info_vec.size() == 1) { | |||
| return info_vec[0]->location()->ToString(tip); | |||
| } | |||
| std::string traced_info = info_vec[0]->location()->ToString(tip); | |||
| for (size_t i = 1; i < info_vec.size(); i++) { | |||
| auto action_name = info_vec[i - 1]->trace_info()->GetActionBetweenNode(info_vec[i]); | |||
| if (action_name == "") { | |||
| break; | |||
| } | |||
| traced_info = traced_info + action_name + info_vec[i]->location()->ToString(tip); | |||
| } | |||
| return traced_info; | |||
| } | |||
| std::string GetTracedDebugInfo(const DebugInfoPtr &info, SourceLineTip tip) { | |||
| if (info == nullptr) { | |||
| return ""; | |||
| } | |||
| auto info_vec = GetSourceCodeDebugInfoVec(info); | |||
| if (info_vec.size() == 0) { | |||
| return ""; | |||
| } else if (info_vec.size() == 1) { | |||
| return info_vec[0]->location()->ToString(tip); | |||
| } else if (info_vec.size() > 1) { | |||
| return GetInfoWithAction(info_vec, tip); | |||
| } | |||
| return ""; | |||
| } | |||
| std::string GetDebugInfo(const DebugInfoPtr &info, const std::string &prefix, SourceLineTip tip) { | |||
| std::ostringstream oss; | |||
| if (info == nullptr) { | |||
| return ""; | |||
| } | |||
| auto debug_info = GetTracedDebugInfo(info, tip); | |||
| if (tip == kSourceLineTipDiscard) { | |||
| std::replace(debug_info.begin(), debug_info.end(), '\r', '/'); | |||
| std::replace(debug_info.begin(), debug_info.end(), '\n', '/'); | |||
| } | |||
| oss << prefix << debug_info; | |||
| return oss.str(); | |||
| } | |||
| } // namespace trace | |||
| } // namespace mindspore | |||
| @@ -0,0 +1,39 @@ | |||
| /** | |||
| * Copyright 2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| * You may obtain a copy of the License at | |||
| * | |||
| * http://www.apache.org/licenses/LICENSE-2.0 | |||
| * | |||
| * Unless required by applicable law or agreed to in writing, software | |||
| * distributed under the License is distributed on an "AS IS" BASIS, | |||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
| * See the License for the specific language governing permissions and | |||
| * limitations under the License. | |||
| */ | |||
| #ifndef MINDSPORE_CCSRC_DEBUG_TRACE_BASE_H_ | |||
| #define MINDSPORE_CCSRC_DEBUG_TRACE_BASE_H_ | |||
| #include <fstream> | |||
| #include <memory> | |||
| #include <string> | |||
| #include <vector> | |||
| #include <utility> | |||
| #include <stack> | |||
| #include "debug/info.h" | |||
| #include "ir/anf.h" | |||
| #include "ir/func_graph.h" | |||
| #include "utils/any.h" | |||
| namespace mindspore { | |||
| namespace trace { | |||
| std::string GetDebugInfo(const DebugInfoPtr &info, SourceLineTip tip = kSourceLineTipNextLine); | |||
| std::string GetDebugInfo(const DebugInfoPtr &info, const std::string &prefix, | |||
| SourceLineTip tip = kSourceLineTipNextLine); | |||
| } // namespace trace | |||
| } // namespace mindspore | |||
| #endif // MINDSPORE_CCSRC_DEBUG_TRACE_BASE_H_ | |||
| @@ -1,7 +1,7 @@ | |||
| /** | |||
| * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/). | |||
| * | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -17,12 +17,14 @@ | |||
| */ | |||
| #include "ir/dtype/type.h" | |||
| #include <string> | |||
| #include <cstdlib> | |||
| #include <algorithm> | |||
| #include "utils/log_adapter.h" | |||
| #include <cstdlib> | |||
| #include <string> | |||
| #include "ir/dtype/number.h" | |||
| #include "utils/convert_utils.h" | |||
| #include "utils/log_adapter.h" | |||
| #include "utils/convert_utils_base.h" | |||
| namespace mindspore { | |||
| TypeId IntBitsToTypeId(const int nbits) { | |||
| @@ -1,7 +1,7 @@ | |||
| /** | |||
| * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/). | |||
| * | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -31,6 +31,7 @@ | |||
| #include <type_traits> | |||
| #include <unordered_map> | |||
| #include <algorithm> | |||
| #include "ir/base.h" | |||
| #include "ir/named.h" | |||
| @@ -27,7 +27,7 @@ | |||
| #include "operator/ops.h" | |||
| #include "pybind_api/export_flags.h" | |||
| #include "utils/ordered_set.h" | |||
| #include "utils/convert_utils.h" | |||
| #include "utils/convert_utils_base.h" | |||
| namespace mindspore { | |||
| /* | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -21,6 +21,7 @@ | |||
| #include "ir/manager.h" | |||
| #include "ir/param_value_py.h" | |||
| #include "operator/ops.h" | |||
| #include "utils/convert_utils_base.h" | |||
| #include "utils/log_adapter.h" | |||
| #include "utils/profile.h" | |||
| #include "utils/context/ms_context.h" | |||
| @@ -22,11 +22,11 @@ | |||
| #include <numeric> | |||
| #include <list> | |||
| #include "debug/trace_base.h" | |||
| #include "ir/func_graph.h" | |||
| #include "utils/profile.h" | |||
| #include "utils/convert_utils.h" | |||
| #include "utils/convert_utils_base.h" | |||
| #include "operator/ops.h" | |||
| #include "debug/trace.h" | |||
| namespace mindspore { | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -23,7 +23,7 @@ | |||
| #include "pipeline/parse/python_adapter.h" | |||
| #include "pipeline/parse/data_converter.h" | |||
| #include "pybind11/pytypes.h" | |||
| #include "utils/convert_utils.h" | |||
| #include "utils/convert_utils_base.h" | |||
| #include "utils/primitive_utils.h" | |||
| #include "pybind_api/api_register.h" | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -15,11 +15,13 @@ | |||
| */ | |||
| #include "ir/value.h" | |||
| #include <algorithm> | |||
| #include <memory> | |||
| #include <cmath> | |||
| #include <cfloat> | |||
| #include "utils/convert_utils.h" | |||
| #include "utils/convert_utils_base.h" | |||
| namespace mindspore { | |||
| const ValuePtr ValueSequeue::operator[](const std::size_t &dim) const { | |||
| @@ -1,7 +1,7 @@ | |||
| /** | |||
| * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/). | |||
| * | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -33,7 +33,6 @@ | |||
| #include "utils/config_manager.h" | |||
| #include "utils/convert_utils.h" | |||
| #include "utils/utils.h" | |||
| #include "utils/base_ref.h" | |||
| #include "vm/segment_runner.h" | |||
| #include "parallel/context.h" | |||
| #include "parallel/graph_util/get_parallel_info.h" | |||
| @@ -24,6 +24,8 @@ | |||
| #include <unordered_map> | |||
| #include <map> | |||
| #include <mutex> | |||
| #include "utils/base_ref_extends.h" | |||
| #include "debug/draw.h" | |||
| #include "ir/anf.h" | |||
| #include "ir/tensor.h" | |||
| @@ -1,7 +1,7 @@ | |||
| /** | |||
| * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/). | |||
| * | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -26,6 +26,7 @@ | |||
| #include "optimizer/opt.h" | |||
| #include "ir/anf.h" | |||
| #include "utils/convert_utils_base.h" | |||
| #include "utils/overload.h" | |||
| namespace mindspore { | |||
| @@ -42,6 +42,7 @@ | |||
| #include "device/kernel_runtime_manager.h" | |||
| #include "kernel/tbe/tbe_python_funcs.h" | |||
| #include "utils/config_manager.h" | |||
| #include "utils/base_ref_extends.h" | |||
| namespace mindspore { | |||
| namespace session { | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -27,6 +27,7 @@ | |||
| #include "common/utils.h" | |||
| #include "common/trans.h" | |||
| #include "utils/context/ms_context.h" | |||
| #include "utils/base_ref_extends.h" | |||
| namespace mindspore { | |||
| namespace session { | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -22,12 +22,13 @@ | |||
| #include <utility> | |||
| #include <memory> | |||
| #include <map> | |||
| #include "utils/base_ref_extends.h" | |||
| #include "session/session_context.h" | |||
| #include "session/kernel_graph.h" | |||
| #include "ir/anf.h" | |||
| #include "ir/tensor.h" | |||
| #include "utils/any.h" | |||
| #include "utils/base_ref.h" | |||
| #include "utils/contract.h" | |||
| #include "pynative/pynative_execute.h" | |||
| #include "device/kernel_info.h" | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -30,11 +30,6 @@ bool AnyIsLiteral(const Any &any) { | |||
| return typeid_int == typeid_any || typeid_float == typeid_any || typeid_bool == typeid_any; | |||
| } | |||
| std::ostream &operator<<(std::ostream &os, const pybind11::object &obj) { | |||
| os << "[py::object]"; | |||
| return os; | |||
| } | |||
| Any &Any::operator=(const Any &other) { | |||
| if (m_ptr == other.m_ptr || &other == this) { | |||
| return *this; | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -26,8 +26,6 @@ | |||
| #include <vector> | |||
| #include <utility> | |||
| #include "pybind11/pybind11.h" | |||
| #include "utils/overload.h" | |||
| #include "utils/log_adapter.h" | |||
| #include "utils/misc.h" | |||
| @@ -39,8 +37,6 @@ std::string type(const T &t) { | |||
| return demangle(typeid(t).name()); | |||
| } | |||
| std::ostream &operator<<(std::ostream &os, const pybind11::object &obj); | |||
| class Any { | |||
| public: | |||
| // constructors | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -185,13 +185,4 @@ bool RunFunctionRef::operator==(const BaseRef &other) const { | |||
| } | |||
| bool RunFunctionRef::operator==(const RunFunctionRef &other) const { return func_ == other.func_; } | |||
| bool PyObjectRef::operator==(const BaseRef &other) const { | |||
| if (!utils::isa<PyObjectRef>(other)) { | |||
| return false; | |||
| } | |||
| return *this == utils::cast<PyObjectRef>(other); | |||
| } | |||
| bool PyObjectRef::operator==(const PyObjectRef &other) const { return object_ == other.object_; } | |||
| } // namespace mindspore | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -25,20 +25,16 @@ | |||
| #include <sstream> | |||
| #include <utility> | |||
| #include <iterator> | |||
| #include "pybind11/pybind11.h" | |||
| #include "ir/value.h" | |||
| namespace py = pybind11; | |||
| #include "ir/value.h" | |||
| namespace mindspore { | |||
| class BaseRef; | |||
| class VectorRef; | |||
| class SetRef; | |||
| class PyObjectRef; | |||
| class RunFunctionRef; | |||
| using iterator = std::vector<BaseRef>::iterator; | |||
| using const_iterator = std::vector<BaseRef>::const_iterator; | |||
| using const_reverse_iterator = std::vector<BaseRef>::const_reverse_iterator; | |||
| @@ -88,8 +84,6 @@ inline std::shared_ptr<VectorRef> MakeNode(const AnfNodePtrList &a) { | |||
| } | |||
| inline std::shared_ptr<SetRef> MakeNode(const SetRef &a) { return std::make_shared<SetRef>(std::move(a)); } | |||
| inline std::shared_ptr<RunFunctionRef> MakeNode(const RunFuncPtr &a) { return std::make_shared<RunFunctionRef>(a); } | |||
| inline std::shared_ptr<PyObjectRef> MakeNode(const py::object &a) { return std::make_shared<PyObjectRef>(a); } | |||
| inline std::shared_ptr<PyObjectRef> MakeNode(const py::tuple &a) { return std::make_shared<PyObjectRef>(a); } | |||
| class BaseRef : public Base { | |||
| public: | |||
| @@ -367,24 +361,6 @@ class SetRef : public BaseRef { | |||
| using SetRefPtr = std::shared_ptr<SetRef>; | |||
| class PyObjectRef : public BaseRef { | |||
| public: | |||
| explicit PyObjectRef(const py::object &py_object) : object_(py_object) {} | |||
| explicit PyObjectRef(const py::tuple &tuple_obj) : object_(tuple_obj) {} | |||
| ~PyObjectRef() override = default; | |||
| std::shared_ptr<Base> copy() const override { return std::make_shared<PyObjectRef>(object_); } | |||
| MS_DECLARE_PARENT(PyObjectRef, BaseRef) | |||
| uint32_t type() const override { return tid(); } | |||
| std::string ToString() const override { return py::str(object_); } | |||
| bool operator==(const BaseRef &other) const override; | |||
| bool operator==(const PyObjectRef &other) const; | |||
| py::object object_; | |||
| }; | |||
| class RunFunctionRef : public BaseRef { | |||
| public: | |||
| RunFunctionRef() {} | |||
| @@ -0,0 +1,28 @@ | |||
| /** | |||
| * Copyright 2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| * You may obtain a copy of the License at | |||
| * | |||
| * http://www.apache.org/licenses/LICENSE-2.0 | |||
| * | |||
| * Unless required by applicable law or agreed to in writing, software | |||
| * distributed under the License is distributed on an "AS IS" BASIS, | |||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
| * See the License for the specific language governing permissions and | |||
| * limitations under the License. | |||
| */ | |||
| #include "utils/base_ref_extends.h" | |||
| namespace mindspore { | |||
| bool PyObjectRef::operator==(const BaseRef &other) const { | |||
| if (!utils::isa<PyObjectRef>(other)) { | |||
| return false; | |||
| } | |||
| return *this == utils::cast<PyObjectRef>(other); | |||
| } | |||
| bool PyObjectRef::operator==(const PyObjectRef &other) const { return object_ == other.object_; } | |||
| } // namespace mindspore | |||
| @@ -0,0 +1,45 @@ | |||
| /** | |||
| * Copyright 2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| * You may obtain a copy of the License at | |||
| * | |||
| * http://www.apache.org/licenses/LICENSE-2.0 | |||
| * | |||
| * Unless required by applicable law or agreed to in writing, software | |||
| * distributed under the License is distributed on an "AS IS" BASIS, | |||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
| * See the License for the specific language governing permissions and | |||
| * limitations under the License. | |||
| */ | |||
| #ifndef MINDSPORE_CCSRC_UTILS_BASE_REF_EXTENDS_H_ | |||
| #define MINDSPORE_CCSRC_UTILS_BASE_REF_EXTENDS_H_ | |||
| #include <memory> | |||
| #include <string> | |||
| #include "utils/base_ref_py.h" | |||
| #include "utils/base_ref.h" | |||
| namespace mindspore { | |||
| class PyObjectRef : public BaseRef { | |||
| public: | |||
| explicit PyObjectRef(const py::object &py_object) : object_(py_object) {} | |||
| explicit PyObjectRef(const py::tuple &tuple_obj) : object_(tuple_obj) {} | |||
| ~PyObjectRef() override = default; | |||
| std::shared_ptr<Base> copy() const override { return std::make_shared<PyObjectRef>(object_); } | |||
| MS_DECLARE_PARENT(PyObjectRef, BaseRef) | |||
| uint32_t type() const override { return tid(); } | |||
| std::string ToString() const override { return py::str(object_); } | |||
| bool operator==(const BaseRef &other) const override; | |||
| bool operator==(const PyObjectRef &other) const; | |||
| py::object object_; | |||
| }; | |||
| } // namespace mindspore | |||
| #endif // MINDSPORE_CCSRC_UTILS_BASE_REF_EXTENDS_H_ | |||
| @@ -0,0 +1,31 @@ | |||
| /** | |||
| * Copyright 2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| * You may obtain a copy of the License at | |||
| * | |||
| * http://www.apache.org/licenses/LICENSE-2.0 | |||
| * | |||
| * Unless required by applicable law or agreed to in writing, software | |||
| * distributed under the License is distributed on an "AS IS" BASIS, | |||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
| * See the License for the specific language governing permissions and | |||
| * limitations under the License. | |||
| */ | |||
| #ifndef MINDSPORE_CCSRC_UTILS_BASE_REF_PY_H_ | |||
| #define MINDSPORE_CCSRC_UTILS_BASE_REF_PY_H_ | |||
| #include <memory> | |||
| #include "pybind11/pybind11.h" | |||
| namespace py = pybind11; | |||
| namespace mindspore { | |||
| class PyObjectRef; | |||
| inline std::shared_ptr<PyObjectRef> MakeNode(const py::object &a) { return std::make_shared<PyObjectRef>(a); } | |||
| inline std::shared_ptr<PyObjectRef> MakeNode(const py::tuple &a) { return std::make_shared<PyObjectRef>(a); } | |||
| } // namespace mindspore | |||
| #endif // MINDSPORE_CCSRC_UTILS_BASE_REF_PY_H_ | |||
| @@ -25,11 +25,12 @@ | |||
| #include <cfloat> | |||
| #include "pybind11/pybind11.h" | |||
| #include "ir/tensor.h" | |||
| #include "pipeline/static_analysis/abstract_value.h" | |||
| #include "pipeline/parse/parse.h" | |||
| #include "pipeline/parse/parse_base.h" | |||
| #include "ir/value.h" | |||
| #include "ir/tensor.h" | |||
| #include "utils/base_ref_extends.h" | |||
| namespace mindspore { | |||
| py::object BuiltinsToPyData(const Any &value); | |||
| @@ -429,4 +430,154 @@ bool IsGraphOutputValueNodeOrParameter(const AnfNodePtr &output, const py::tuple | |||
| } | |||
| return false; | |||
| } | |||
| // Isomorphism | |||
| static bool SameNodeShallow(const AnfNodePtr &node1, const AnfNodePtr &node2, FuncGraphPairMapEquiv *equiv_func_graph, | |||
| NodeMapEquiv *const equiv_node) { | |||
| if (equiv_node == nullptr) { | |||
| MS_LOG(ERROR) << "Invalid equiv_node"; | |||
| return false; | |||
| } | |||
| if (equiv_node->count(node1) > 0 && (*equiv_node)[node1] == node2) { | |||
| return true; | |||
| } | |||
| if (IsValueNode<FuncGraph>(node1) && IsValueNode<FuncGraph>(node2)) { | |||
| return Isomorphic(GetValueNode<FuncGraphPtr>(node1), GetValueNode<FuncGraphPtr>(node2), equiv_func_graph, | |||
| equiv_node); | |||
| } | |||
| if (node1->isa<ValueNode>() && node2->isa<ValueNode>()) { | |||
| auto a1 = GetValueNode(node1); | |||
| auto a2 = GetValueNode(node2); | |||
| if (a1->isa<Primitive>() && a2->isa<Primitive>()) { | |||
| return a1->cast<PrimitivePtr>()->name() == a2->cast<PrimitivePtr>()->name(); | |||
| } else if (a1->isa<tensor::Tensor>() && a2->isa<tensor::Tensor>()) { | |||
| return a1->cast<tensor::TensorPtr>()->ValueEqual(*(a2->cast<tensor::TensorPtr>())); | |||
| } else { | |||
| return *a1 == *a2; | |||
| } | |||
| } | |||
| if (node1->isa<Parameter>() && node2->isa<Parameter>()) { | |||
| auto para1 = node1->cast<ParameterPtr>(); | |||
| auto para2 = node2->cast<ParameterPtr>(); | |||
| if (para1->name() == para2->name()) { | |||
| return true; | |||
| } | |||
| MS_LOG(DEBUG) << "two parameters are not equal."; | |||
| return false; | |||
| } | |||
| MS_LOG(ERROR) << "type error"; | |||
| return false; | |||
| } | |||
| static bool SameNode(const AnfNodePtr &node1, const AnfNodePtr &node2, FuncGraphPairMapEquiv *equiv_func_graph, | |||
| NodeMapEquiv *const equiv_node) { | |||
| MS_EXCEPTION_IF_NULL(node1); | |||
| MS_EXCEPTION_IF_NULL(node2); | |||
| if (node1->isa<CNode>() && node2->isa<CNode>()) { | |||
| auto &inputs1 = node1->cast<CNodePtr>()->inputs(); | |||
| auto &inputs2 = node2->cast<CNodePtr>()->inputs(); | |||
| for (std::size_t i = 0; i < inputs1.size(); ++i) { | |||
| if (!SameNodeShallow(inputs1[i], inputs2[i], equiv_func_graph, equiv_node)) { | |||
| return false; | |||
| } | |||
| } | |||
| return true; | |||
| } | |||
| return SameNodeShallow(node1, node2, equiv_func_graph, equiv_node); | |||
| } | |||
| static bool SameSubgraph(AnfNodePtr root1, AnfNodePtr root2, FuncGraphPairMapEquiv *equiv_func_graph, | |||
| NodeMapEquiv *const equiv_node) { | |||
| std::unordered_set<AnfNodePtr> done; | |||
| std::stack<std::pair<AnfNodePtr, AnfNodePtr>> todo; | |||
| todo.push(std::make_pair(root1, root2)); | |||
| while (todo.size() > 0) { | |||
| AnfNodePtr node1 = todo.top().first; | |||
| if (done.count(node1) > 0) { | |||
| todo.pop(); | |||
| continue; | |||
| } | |||
| AnfNodePtr node2 = todo.top().second; | |||
| bool condition = false; | |||
| std::vector<AnfNodePtr> s1 = SuccIncoming(node1); | |||
| std::vector<AnfNodePtr> s2 = SuccIncoming(node2); | |||
| if (s1.size() != s2.size()) { | |||
| return false; | |||
| } | |||
| for (std::size_t i = 0; i < s1.size(); ++i) { | |||
| if (done.count(s1[i]) == 0) { | |||
| todo.push(std::make_pair(s1[i], s2[i])); | |||
| condition = true; | |||
| } | |||
| } | |||
| if (condition) { | |||
| continue; | |||
| } | |||
| (void)done.insert(node1); | |||
| auto res = SameNode(node1, node2, equiv_func_graph, equiv_node); | |||
| if (res) { | |||
| (*equiv_node)[node1] = node2; | |||
| } else { | |||
| return false; | |||
| } | |||
| todo.pop(); | |||
| } | |||
| return true; | |||
| } | |||
| bool Isomorphic(FuncGraphPtr fg1, FuncGraphPtr fg2, FuncGraphPairMapEquiv *equiv_func_graph, | |||
| NodeMapEquiv *const equiv_node) { | |||
| auto fg1_fg2 = std::make_pair(fg1, fg2); | |||
| if (equiv_func_graph == nullptr) { | |||
| MS_LOG(ERROR) << "equiv_func_graph not init"; | |||
| return false; | |||
| } | |||
| if (equiv_func_graph->find(fg1_fg2) != equiv_func_graph->end()) { | |||
| return (*equiv_func_graph)[fg1_fg2] != kNotEquiv; | |||
| } | |||
| if (fg1 == nullptr || fg2 == nullptr) { | |||
| MS_LOG(ERROR) << "Invalid function graph"; | |||
| return false; | |||
| } | |||
| if (fg1->parameters().size() != fg2->parameters().size()) { | |||
| MS_LOG(DEBUG) << "parameters size not match"; | |||
| return false; | |||
| } | |||
| if (equiv_node != nullptr) { | |||
| for (std::size_t i = 0; i < fg1->parameters().size(); ++i) { | |||
| (*equiv_node)[fg1->parameters()[i]] = fg2->parameters()[i]; | |||
| } | |||
| (*equiv_func_graph)[fg1_fg2] = kPending; | |||
| auto result = SameSubgraph(fg1->get_return(), fg2->get_return(), equiv_func_graph, equiv_node); | |||
| (*equiv_func_graph)[fg1_fg2] = EquivState(result); | |||
| return result; | |||
| } | |||
| MS_LOG(ERROR) << "equiv_node not init"; | |||
| return false; | |||
| } | |||
| tensor::TensorPtr ScalarToTensor(const ScalarPtr &scalar) { | |||
| if (scalar == nullptr) { | |||
| MS_EXCEPTION(ArgumentError) << "Nullptr Error!"; | |||
| } | |||
| tensor::TensorPtr tensor = nullptr; | |||
| if (scalar->isa<FloatImm>()) { | |||
| tensor = std::make_shared<tensor::Tensor>(py::float_(GetValue<float>(scalar)), kFloat32); | |||
| } else if (scalar->isa<IntergerImm>()) { | |||
| tensor = std::make_shared<tensor::Tensor>(py::int_(GetValue<int>(scalar)), kInt32); | |||
| } else if (scalar->isa<BoolImm>()) { | |||
| tensor = std::make_shared<tensor::Tensor>(py::array(py::bool_(GetValue<bool>(scalar))), kBool); | |||
| } else { | |||
| auto type = scalar->type(); | |||
| auto type_str = (type == nullptr) ? "nullptr" : type->ToString(); | |||
| MS_LOG(EXCEPTION) << "Invalid scalar type: " << type_str; | |||
| } | |||
| MS_EXCEPTION_IF_NULL(tensor); | |||
| return tensor; | |||
| } | |||
| } // namespace mindspore | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -19,16 +19,25 @@ | |||
| #include <limits> | |||
| #include <memory> | |||
| #include "pybind11/pybind11.h" | |||
| #include <utility> | |||
| #include <stack> | |||
| #include <unordered_map> | |||
| #include <unordered_set> | |||
| #include "pybind11/pybind11.h" | |||
| #include "utils/convert_utils_base.h" | |||
| #include "utils/any.h" | |||
| #include "utils/base_ref.h" | |||
| #include "ir/base.h" | |||
| #include "ir/anf.h" | |||
| #include "utils/base_ref.h" | |||
| namespace py = pybind11; | |||
| namespace mindspore { | |||
| namespace tensor { | |||
| class Tensor; | |||
| using TensorPtr = std::shared_ptr<Tensor>; | |||
| } // namespace tensor | |||
| py::object AnyToPyData(const Any &value); | |||
| py::object BaseRefToPyData(const BaseRef &value); | |||
| @@ -36,95 +45,29 @@ bool BaseRefToBool(const BaseRef &in, bool *out); | |||
| bool ValueToBool(const ValuePtr &in, bool *out); | |||
| py::object ValuePtrToPyData(const ValuePtr &value); | |||
| inline int SizeToInt(size_t u) { | |||
| if (u > static_cast<size_t>((std::numeric_limits<int>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The size_t value(" << u << ") exceeds the maximum value of int."; | |||
| } | |||
| return static_cast<int>(u); | |||
| } | |||
| inline uint32_t SizeToUint(size_t u) { | |||
| if (u > static_cast<size_t>((std::numeric_limits<uint32_t>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The size_t value(" << u << ") exceeds the maximum value of uint32_t."; | |||
| } | |||
| return static_cast<uint32_t>(u); | |||
| } | |||
| inline int64_t SizeToLong(size_t u) { | |||
| if (u > static_cast<size_t>((std::numeric_limits<int64_t>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The size_t value(" << u << ") exceeds the maximum value of int64_t."; | |||
| } | |||
| return static_cast<int64_t>(u); | |||
| } | |||
| inline size_t IntToSize(int u) { | |||
| if (u < 0) { | |||
| MS_LOG(EXCEPTION) << "The int value(" << u << ") is less than 0."; | |||
| } | |||
| return static_cast<size_t>(u); | |||
| } | |||
| inline size_t LongToSize(int64_t u) { | |||
| if (u < 0) { | |||
| MS_LOG(EXCEPTION) << "The int64_t value(" << u << ") is less than 0."; | |||
| } | |||
| return static_cast<size_t>(u); | |||
| } | |||
| inline size_t FloatToSize(float u) { | |||
| if (u < 0) { | |||
| MS_LOG(EXCEPTION) << "The float value(" << u << ") is less than 0."; | |||
| } | |||
| if (u > static_cast<float>((std::numeric_limits<size_t>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The float value(" << u << ") exceeds the maximum value of size_t."; | |||
| } | |||
| return static_cast<size_t>(u); | |||
| } | |||
| inline float IntToFloat(int32_t v) { return static_cast<float>(v); } | |||
| inline uint32_t IntToUint(int32_t u) { | |||
| if (u < 0) { | |||
| MS_LOG(EXCEPTION) << "The int32_t value(" << u << ") is less than 0."; | |||
| } | |||
| return static_cast<uint32_t>(u); | |||
| } | |||
| inline int32_t UintToInt(uint32_t u) { | |||
| if (u > static_cast<uint32_t>((std::numeric_limits<int32_t>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The uint32_t value(" << u << ") exceeds the maximum value of int32_t."; | |||
| } | |||
| return static_cast<int32_t>(u); | |||
| } | |||
| AbstractBasePtr PyListDtype2AbstractTensor(const py::object &shape_obj, const py::object &type_obj); | |||
| inline unsigned int UlongToUint(size_t u) { | |||
| if (u > static_cast<size_t>((std::numeric_limits<unsigned int>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The size_t value(" << u << ") exceeds the maximum value of unsigned int."; | |||
| } | |||
| return static_cast<unsigned int>(u); | |||
| } | |||
| bool IsGraphOutputValueNodeOrParameter(const AnfNodePtr &output, const py::tuple &args, | |||
| const std::shared_ptr<py::object> &ret_val); | |||
| inline void IntMulWithOverflowCheck(int a, int b, int *c) { | |||
| int out = a * b; | |||
| if (a != 0) { | |||
| bool ok = ((out / a) != b); | |||
| if (ok) { | |||
| MS_LOG(EXCEPTION) << "Mul: a(" << a << ") * b(" << b << ") result is overflow"; | |||
| } | |||
| // Isomorphism | |||
| struct PairHasher { | |||
| template <class T1, class T2> | |||
| std::size_t operator()(const std::pair<T1, T2> &p) const { | |||
| auto h1 = std::hash<T1>{}(p.first); | |||
| auto h2 = std::hash<T2>{}(p.second); | |||
| return h1 ^ h2; | |||
| } | |||
| *c = out; | |||
| } | |||
| }; | |||
| inline uint8_t *AddressOffset(void *address, size_t offset) { | |||
| MS_EXCEPTION_IF_NULL(address); | |||
| return static_cast<uint8_t *>(address) + offset; | |||
| } | |||
| enum EquivState { kNotEquiv = 0, kEquiv = 1, kPending = 2 }; | |||
| AbstractBasePtr PyListDtype2AbstractTensor(const py::object &shape_obj, const py::object &type_obj); | |||
| using FuncGraphPairMapEquiv = std::unordered_map<std::pair<FuncGraphPtr, FuncGraphPtr>, EquivState, PairHasher>; | |||
| using NodeMapEquiv = std::unordered_map<AnfNodePtr, AnfNodePtr>; | |||
| bool IsGraphOutputValueNodeOrParameter(const AnfNodePtr &output, const py::tuple &args, | |||
| const std::shared_ptr<py::object> &ret_val); | |||
| bool Isomorphic(FuncGraphPtr g1, FuncGraphPtr g2, FuncGraphPairMapEquiv *equiv_func_graph, NodeMapEquiv *equiv_node); | |||
| tensor::TensorPtr ScalarToTensor(const ScalarPtr &scalar); | |||
| } // namespace mindspore | |||
| #endif // MINDSPORE_CCSRC_UTILS_CONVERT_UTILS_H_ | |||
| @@ -0,0 +1,111 @@ | |||
| /** | |||
| * Copyright 2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| * You may obtain a copy of the License at | |||
| * | |||
| * http://www.apache.org/licenses/LICENSE-2.0 | |||
| * | |||
| * Unless required by applicable law or agreed to in writing, software | |||
| * distributed under the License is distributed on an "AS IS" BASIS, | |||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
| * See the License for the specific language governing permissions and | |||
| * limitations under the License. | |||
| */ | |||
| #ifndef MINDSPORE_CCSRC_UTILS_CONVERT_UTILS_BASE_H_ | |||
| #define MINDSPORE_CCSRC_UTILS_CONVERT_UTILS_BASE_H_ | |||
| #include <limits> | |||
| #include <memory> | |||
| #include "utils/log_adapter.h" | |||
| namespace mindspore { | |||
| inline int SizeToInt(size_t u) { | |||
| if (u > static_cast<size_t>((std::numeric_limits<int>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The size_t value(" << u << ") exceeds the maximum value of int."; | |||
| } | |||
| return static_cast<int>(u); | |||
| } | |||
| inline uint32_t SizeToUint(size_t u) { | |||
| if (u > static_cast<size_t>((std::numeric_limits<uint32_t>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The size_t value(" << u << ") exceeds the maximum value of uint32_t."; | |||
| } | |||
| return static_cast<uint32_t>(u); | |||
| } | |||
| inline int64_t SizeToLong(size_t u) { | |||
| if (u > static_cast<size_t>((std::numeric_limits<int64_t>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The size_t value(" << u << ") exceeds the maximum value of int64_t."; | |||
| } | |||
| return static_cast<int64_t>(u); | |||
| } | |||
| inline size_t IntToSize(int u) { | |||
| if (u < 0) { | |||
| MS_LOG(EXCEPTION) << "The int value(" << u << ") is less than 0."; | |||
| } | |||
| return static_cast<size_t>(u); | |||
| } | |||
| inline size_t LongToSize(int64_t u) { | |||
| if (u < 0) { | |||
| MS_LOG(EXCEPTION) << "The int64_t value(" << u << ") is less than 0."; | |||
| } | |||
| return static_cast<size_t>(u); | |||
| } | |||
| inline size_t FloatToSize(float u) { | |||
| if (u < 0) { | |||
| MS_LOG(EXCEPTION) << "The float value(" << u << ") is less than 0."; | |||
| } | |||
| if (u > static_cast<float>((std::numeric_limits<size_t>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The float value(" << u << ") exceeds the maximum value of size_t."; | |||
| } | |||
| return static_cast<size_t>(u); | |||
| } | |||
| inline float IntToFloat(int32_t v) { return static_cast<float>(v); } | |||
| inline uint32_t IntToUint(int32_t u) { | |||
| if (u < 0) { | |||
| MS_LOG(EXCEPTION) << "The int32_t value(" << u << ") is less than 0."; | |||
| } | |||
| return static_cast<uint32_t>(u); | |||
| } | |||
| inline int32_t UintToInt(uint32_t u) { | |||
| if (u > static_cast<uint32_t>((std::numeric_limits<int32_t>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The uint32_t value(" << u << ") exceeds the maximum value of int32_t."; | |||
| } | |||
| return static_cast<int32_t>(u); | |||
| } | |||
| inline unsigned int UlongToUint(size_t u) { | |||
| if (u > static_cast<size_t>((std::numeric_limits<unsigned int>::max)())) { | |||
| MS_LOG(EXCEPTION) << "The size_t value(" << u << ") exceeds the maximum value of unsigned int."; | |||
| } | |||
| return static_cast<unsigned int>(u); | |||
| } | |||
| inline void IntMulWithOverflowCheck(int a, int b, int *c) { | |||
| int out = a * b; | |||
| if (a != 0) { | |||
| bool ok = ((out / a) != b); | |||
| if (ok) { | |||
| MS_LOG(EXCEPTION) << "Mul: a(" << a << ") * b(" << b << ") result is overflow"; | |||
| } | |||
| } | |||
| *c = out; | |||
| } | |||
| inline uint8_t *AddressOffset(void *address, size_t offset) { | |||
| MS_EXCEPTION_IF_NULL(address); | |||
| return static_cast<uint8_t *>(address) + offset; | |||
| } | |||
| } // namespace mindspore | |||
| #endif // MINDSPORE_CCSRC_UTILS_CONVERT_UTILS_BASE_H_ | |||
| @@ -1,7 +1,7 @@ | |||
| /** | |||
| * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/). | |||
| * | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -29,153 +29,12 @@ | |||
| #include <queue> | |||
| #include <set> | |||
| #include "ir/visitor.h" | |||
| #include "utils/log_adapter.h" | |||
| #include "common/utils.h" | |||
| #include "pipeline/parse/function_block.h" | |||
| #include "pipeline/parse/python_adapter.h" | |||
| #include "debug/label.h" | |||
| #include "ir/func_graph.h" | |||
| #include "utils/log_adapter.h" | |||
| namespace mindspore { | |||
| using SymbolicKeyTypePtr = std::shared_ptr<SymbolicKeyType>; | |||
| namespace { | |||
| class DeepFirstSearcher : public AnfVisitor { | |||
| public: | |||
| explicit DeepFirstSearcher(const IncludeFunc &include) : include_(include) {} | |||
| ~DeepFirstSearcher() override = default; | |||
| std::vector<AnfNodePtr> Search(const AnfNodePtr &root) { | |||
| if (root == nullptr) { | |||
| return res_; | |||
| } | |||
| seen_ = NewSeenGeneration(); | |||
| Visit(root); | |||
| return res_; | |||
| } | |||
| void Visit(const AnfNodePtr &node) override { | |||
| MS_EXCEPTION_IF_NULL(node); | |||
| if (node->seen_ == seen_) { | |||
| return; | |||
| } | |||
| node->seen_ = seen_; | |||
| auto incl = include_(node); | |||
| if (incl == EXCLUDE) { | |||
| return; | |||
| } | |||
| res_.push_back(node); | |||
| if (incl == FOLLOW) { | |||
| AnfVisitor::Visit(node); | |||
| } | |||
| } | |||
| private: | |||
| size_t seen_{0}; | |||
| IncludeFunc include_; | |||
| std::vector<AnfNodePtr> res_{}; | |||
| }; | |||
| class DeepScopedGraphSearcher : public DeepFirstSearcher { | |||
| public: | |||
| explicit DeepScopedGraphSearcher(const IncludeFunc &include) : DeepFirstSearcher(include) {} | |||
| ~DeepScopedGraphSearcher() override = default; | |||
| void Visit(const CNodePtr &cnode) override { | |||
| if (cnode->func_graph() == nullptr) { | |||
| return; | |||
| } | |||
| AnfNodePtr ret = cnode->func_graph()->get_return(); | |||
| if (ret != nullptr) { | |||
| DeepFirstSearcher::Visit(ret); | |||
| } | |||
| auto &inputs = cnode->inputs(); | |||
| for (auto iter = inputs.rbegin(); iter != inputs.rend(); ++iter) { | |||
| DeepFirstSearcher::Visit(*iter); | |||
| } | |||
| } | |||
| void Visit(const ValueNodePtr &vnode) override { | |||
| if (!IsValueNode<FuncGraph>(vnode)) { | |||
| return; | |||
| } | |||
| auto graph = GetValueNode<FuncGraphPtr>(vnode); | |||
| AnfNodePtr ret = graph->get_return(); | |||
| if (ret != nullptr) { | |||
| DeepFirstSearcher::Visit(ret); | |||
| } | |||
| } | |||
| void Visit(const ParameterPtr ¶m) override { | |||
| if (param->func_graph() == nullptr) { | |||
| return; | |||
| } | |||
| AnfNodePtr ret = param->func_graph()->get_return(); | |||
| if (ret != nullptr) { | |||
| DeepFirstSearcher::Visit(ret); | |||
| } | |||
| } | |||
| }; | |||
| class DeepUsedGraphSearcher : public DeepFirstSearcher { | |||
| public: | |||
| explicit DeepUsedGraphSearcher(const IncludeFunc &include) : DeepFirstSearcher(include) {} | |||
| ~DeepUsedGraphSearcher() override = default; | |||
| void Visit(const CNodePtr &cnode) override { | |||
| auto &inputs = cnode->inputs(); | |||
| for (auto iter = inputs.rbegin(); iter != inputs.rend(); ++iter) { | |||
| DeepFirstSearcher::Visit(*iter); | |||
| } | |||
| } | |||
| void Visit(const ValueNodePtr &vnode) override { | |||
| if (!IsValueNode<FuncGraph>(vnode)) { | |||
| return; | |||
| } | |||
| auto graph = GetValueNode<FuncGraphPtr>(vnode); | |||
| AnfNodePtr ret = graph->get_return(); | |||
| if (ret != nullptr) { | |||
| DeepFirstSearcher::Visit(ret); | |||
| } | |||
| } | |||
| }; | |||
| class DeepLinkedGraphSearcher : public DeepFirstSearcher { | |||
| public: | |||
| explicit DeepLinkedGraphSearcher(const IncludeFunc &include) : DeepFirstSearcher(include) {} | |||
| ~DeepLinkedGraphSearcher() override = default; | |||
| void Visit(const CNodePtr &cnode) override { | |||
| auto &inputs = cnode->inputs(); | |||
| for (auto iter = inputs.rbegin(); iter != inputs.rend(); ++iter) { | |||
| DeepFirstSearcher::Visit(*iter); | |||
| } | |||
| } | |||
| void Visit(const ValueNodePtr &) override {} | |||
| }; | |||
| } // namespace | |||
| std::vector<AnfNodePtr> DeepScopedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include) { | |||
| return DeepScopedGraphSearcher(include).Search(root); | |||
| } | |||
| std::vector<AnfNodePtr> DeepUsedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include) { | |||
| return DeepUsedGraphSearcher(include).Search(root); | |||
| } | |||
| std::vector<AnfNodePtr> DeepLinkedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include) { | |||
| return DeepLinkedGraphSearcher(include).Search(root); | |||
| } | |||
| std::vector<AnfNodePtr> TopoSort(const AnfNodePtr &root, const SuccFunc &succ, const IncludeFunc &include) { | |||
| size_t seen = NewSeenGeneration(); | |||
| std::list<AnfNodePtr> todo(1, root); | |||
| @@ -408,154 +267,4 @@ void FuncGraphIndex::Acquire(const AnfNodePtr &key) { | |||
| (void)index_node_[name].insert(key); | |||
| } | |||
| } | |||
| // Isomorphism | |||
| static bool SameNodeShallow(const AnfNodePtr &node1, const AnfNodePtr &node2, FuncGraphPairMapEquiv *equiv_func_graph, | |||
| NodeMapEquiv *const equiv_node) { | |||
| if (equiv_node == nullptr) { | |||
| MS_LOG(ERROR) << "Invalid equiv_node"; | |||
| return false; | |||
| } | |||
| if (equiv_node->count(node1) > 0 && (*equiv_node)[node1] == node2) { | |||
| return true; | |||
| } | |||
| if (IsValueNode<FuncGraph>(node1) && IsValueNode<FuncGraph>(node2)) { | |||
| return Isomorphic(GetValueNode<FuncGraphPtr>(node1), GetValueNode<FuncGraphPtr>(node2), equiv_func_graph, | |||
| equiv_node); | |||
| } | |||
| if (node1->isa<ValueNode>() && node2->isa<ValueNode>()) { | |||
| auto a1 = GetValueNode(node1); | |||
| auto a2 = GetValueNode(node2); | |||
| if (a1->isa<Primitive>() && a2->isa<Primitive>()) { | |||
| return a1->cast<PrimitivePtr>()->name() == a2->cast<PrimitivePtr>()->name(); | |||
| } else if (a1->isa<tensor::Tensor>() && a2->isa<tensor::Tensor>()) { | |||
| return a1->cast<tensor::TensorPtr>()->ValueEqual(*(a2->cast<tensor::TensorPtr>())); | |||
| } else { | |||
| return *a1 == *a2; | |||
| } | |||
| } | |||
| if (node1->isa<Parameter>() && node2->isa<Parameter>()) { | |||
| auto para1 = node1->cast<ParameterPtr>(); | |||
| auto para2 = node2->cast<ParameterPtr>(); | |||
| if (para1->name() == para2->name()) { | |||
| return true; | |||
| } | |||
| MS_LOG(DEBUG) << "two parameters are not equal."; | |||
| return false; | |||
| } | |||
| MS_LOG(ERROR) << "type error"; | |||
| return false; | |||
| } | |||
| static bool SameNode(const AnfNodePtr &node1, const AnfNodePtr &node2, FuncGraphPairMapEquiv *equiv_func_graph, | |||
| NodeMapEquiv *const equiv_node) { | |||
| MS_EXCEPTION_IF_NULL(node1); | |||
| MS_EXCEPTION_IF_NULL(node2); | |||
| if (node1->isa<CNode>() && node2->isa<CNode>()) { | |||
| auto &inputs1 = node1->cast<CNodePtr>()->inputs(); | |||
| auto &inputs2 = node2->cast<CNodePtr>()->inputs(); | |||
| for (std::size_t i = 0; i < inputs1.size(); ++i) { | |||
| if (!SameNodeShallow(inputs1[i], inputs2[i], equiv_func_graph, equiv_node)) { | |||
| return false; | |||
| } | |||
| } | |||
| return true; | |||
| } | |||
| return SameNodeShallow(node1, node2, equiv_func_graph, equiv_node); | |||
| } | |||
| static bool SameSubgraph(AnfNodePtr root1, AnfNodePtr root2, FuncGraphPairMapEquiv *equiv_func_graph, | |||
| NodeMapEquiv *const equiv_node) { | |||
| std::unordered_set<AnfNodePtr> done; | |||
| std::stack<std::pair<AnfNodePtr, AnfNodePtr>> todo; | |||
| todo.push(std::make_pair(root1, root2)); | |||
| while (todo.size() > 0) { | |||
| AnfNodePtr node1 = todo.top().first; | |||
| if (done.count(node1) > 0) { | |||
| todo.pop(); | |||
| continue; | |||
| } | |||
| AnfNodePtr node2 = todo.top().second; | |||
| bool condition = false; | |||
| std::vector<AnfNodePtr> s1 = SuccIncoming(node1); | |||
| std::vector<AnfNodePtr> s2 = SuccIncoming(node2); | |||
| if (s1.size() != s2.size()) { | |||
| return false; | |||
| } | |||
| for (std::size_t i = 0; i < s1.size(); ++i) { | |||
| if (done.count(s1[i]) == 0) { | |||
| todo.push(std::make_pair(s1[i], s2[i])); | |||
| condition = true; | |||
| } | |||
| } | |||
| if (condition) { | |||
| continue; | |||
| } | |||
| (void)done.insert(node1); | |||
| auto res = SameNode(node1, node2, equiv_func_graph, equiv_node); | |||
| if (res) { | |||
| (*equiv_node)[node1] = node2; | |||
| } else { | |||
| return false; | |||
| } | |||
| todo.pop(); | |||
| } | |||
| return true; | |||
| } | |||
| bool Isomorphic(FuncGraphPtr fg1, FuncGraphPtr fg2, FuncGraphPairMapEquiv *equiv_func_graph, | |||
| NodeMapEquiv *const equiv_node) { | |||
| auto fg1_fg2 = std::make_pair(fg1, fg2); | |||
| if (equiv_func_graph == nullptr) { | |||
| MS_LOG(ERROR) << "equiv_func_graph not init"; | |||
| return false; | |||
| } | |||
| if (equiv_func_graph->find(fg1_fg2) != equiv_func_graph->end()) { | |||
| return (*equiv_func_graph)[fg1_fg2] != kNotEquiv; | |||
| } | |||
| if (fg1 == nullptr || fg2 == nullptr) { | |||
| MS_LOG(ERROR) << "Invalid function graph"; | |||
| return false; | |||
| } | |||
| if (fg1->parameters().size() != fg2->parameters().size()) { | |||
| MS_LOG(DEBUG) << "parameters size not match"; | |||
| return false; | |||
| } | |||
| if (equiv_node != nullptr) { | |||
| for (std::size_t i = 0; i < fg1->parameters().size(); ++i) { | |||
| (*equiv_node)[fg1->parameters()[i]] = fg2->parameters()[i]; | |||
| } | |||
| (*equiv_func_graph)[fg1_fg2] = kPending; | |||
| auto result = SameSubgraph(fg1->get_return(), fg2->get_return(), equiv_func_graph, equiv_node); | |||
| (*equiv_func_graph)[fg1_fg2] = EquivState(result); | |||
| return result; | |||
| } | |||
| MS_LOG(ERROR) << "equiv_node not init"; | |||
| return false; | |||
| } | |||
| tensor::TensorPtr ScalarToTensor(const ScalarPtr &scalar) { | |||
| if (scalar == nullptr) { | |||
| MS_EXCEPTION(ArgumentError) << "Nullptr Error!"; | |||
| } | |||
| tensor::TensorPtr tensor = nullptr; | |||
| if (scalar->isa<FloatImm>()) { | |||
| tensor = std::make_shared<tensor::Tensor>(py::float_(GetValue<float>(scalar)), kFloat32); | |||
| } else if (scalar->isa<IntergerImm>()) { | |||
| tensor = std::make_shared<tensor::Tensor>(py::int_(GetValue<int>(scalar)), kInt32); | |||
| } else if (scalar->isa<BoolImm>()) { | |||
| tensor = std::make_shared<tensor::Tensor>(py::array(py::bool_(GetValue<bool>(scalar))), kBool); | |||
| } else { | |||
| auto type = scalar->type(); | |||
| auto type_str = (type == nullptr) ? "nullptr" : type->ToString(); | |||
| MS_LOG(EXCEPTION) << "Invalid scalar type: " << type_str; | |||
| } | |||
| MS_EXCEPTION_IF_NULL(tensor); | |||
| return tensor; | |||
| } | |||
| } // namespace mindspore | |||
| @@ -29,7 +29,7 @@ | |||
| #include <string> | |||
| #include "ir/anf.h" | |||
| #include "ir/primitive.h" | |||
| #include "ir/primitive_base.h" | |||
| #include "ir/scalar.h" | |||
| #include "ir/tensor.h" | |||
| #include "debug/label.h" | |||
| @@ -42,6 +42,10 @@ using IncludeFunc = std::function<IncludeType(const AnfNodePtr &)>; | |||
| using SuccFunc = std::function<std::vector<AnfNodePtr>(AnfNodePtr)>; | |||
| using SearchFunc = std::function<std::vector<AnfNodePtr>(const AnfNodePtr &, const IncludeFunc &)>; | |||
| std::vector<AnfNodePtr> DeepScopedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include); | |||
| std::vector<AnfNodePtr> DeepUsedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include); | |||
| std::vector<AnfNodePtr> DeepLinkedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include); | |||
| std::vector<AnfNodePtr> SuccDeeper(const AnfNodePtr &node); | |||
| std::vector<AnfNodePtr> SuccDeeperSimple(const AnfNodePtr &node); | |||
| std::vector<AnfNodePtr> SuccIncoming(const AnfNodePtr &node); | |||
| @@ -79,26 +83,6 @@ class FuncGraphIndex { | |||
| std::map<std::string, std::set<FuncGraphPtr>> index_func_graph_; | |||
| std::map<std::string, std::set<AnfNodePtr>> index_node_; | |||
| }; | |||
| // Isomorphism | |||
| struct PairHasher { | |||
| template <class T1, class T2> | |||
| std::size_t operator()(const std::pair<T1, T2> &p) const { | |||
| auto h1 = std::hash<T1>{}(p.first); | |||
| auto h2 = std::hash<T2>{}(p.second); | |||
| return h1 ^ h2; | |||
| } | |||
| }; | |||
| enum EquivState { kNotEquiv = 0, kEquiv = 1, kPending = 2 }; | |||
| using FuncGraphPairMapEquiv = std::unordered_map<std::pair<FuncGraphPtr, FuncGraphPtr>, EquivState, PairHasher>; | |||
| using NodeMapEquiv = std::unordered_map<AnfNodePtr, AnfNodePtr>; | |||
| bool Isomorphic(FuncGraphPtr g1, FuncGraphPtr g2, FuncGraphPairMapEquiv *equiv_func_graph, NodeMapEquiv *equiv_node); | |||
| tensor::TensorPtr ScalarToTensor(const ScalarPtr &scalar); | |||
| } // namespace mindspore | |||
| #endif // MINDSPORE_CCSRC_UTILS_GRAPH_UTILS_H_ | |||
| @@ -0,0 +1,174 @@ | |||
| /** | |||
| * Copyright 2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| * You may obtain a copy of the License at | |||
| * | |||
| * http://www.apache.org/licenses/LICENSE-2.0 | |||
| * | |||
| * Unless required by applicable law or agreed to in writing, software | |||
| * distributed under the License is distributed on an "AS IS" BASIS, | |||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
| * See the License for the specific language governing permissions and | |||
| * limitations under the License. | |||
| */ | |||
| #include "utils/graph_utils.h" | |||
| #include <unordered_map> | |||
| #include <unordered_set> | |||
| #include <utility> | |||
| #include <stack> | |||
| #include <vector> | |||
| #include <list> | |||
| #include <string> | |||
| #include <fstream> | |||
| #include "ir/visitor.h" | |||
| #include "ir/func_graph.h" | |||
| #include "debug/label.h" | |||
| #include "utils/log_adapter.h" | |||
| #include "common/utils.h" | |||
| #include "pipeline/parse/function_block.h" | |||
| #include "pipeline/parse/python_adapter.h" | |||
| namespace mindspore { | |||
| namespace { | |||
| class DeepFirstSearcher : public AnfVisitor { | |||
| public: | |||
| explicit DeepFirstSearcher(const IncludeFunc &include) : include_(include) {} | |||
| ~DeepFirstSearcher() override = default; | |||
| std::vector<AnfNodePtr> Search(const AnfNodePtr &root) { | |||
| if (root == nullptr) { | |||
| return res_; | |||
| } | |||
| seen_ = NewSeenGeneration(); | |||
| Visit(root); | |||
| return res_; | |||
| } | |||
| void Visit(const AnfNodePtr &node) override { | |||
| MS_EXCEPTION_IF_NULL(node); | |||
| if (node->seen_ == seen_) { | |||
| return; | |||
| } | |||
| node->seen_ = seen_; | |||
| auto incl = include_(node); | |||
| if (incl == EXCLUDE) { | |||
| return; | |||
| } | |||
| res_.push_back(node); | |||
| if (incl == FOLLOW) { | |||
| AnfVisitor::Visit(node); | |||
| } | |||
| } | |||
| private: | |||
| size_t seen_{0}; | |||
| IncludeFunc include_; | |||
| std::vector<AnfNodePtr> res_{}; | |||
| }; | |||
| class DeepScopedGraphSearcher : public DeepFirstSearcher { | |||
| public: | |||
| explicit DeepScopedGraphSearcher(const IncludeFunc &include) : DeepFirstSearcher(include) {} | |||
| ~DeepScopedGraphSearcher() override = default; | |||
| void Visit(const CNodePtr &cnode) override { | |||
| if (cnode->func_graph() == nullptr) { | |||
| return; | |||
| } | |||
| AnfNodePtr ret = cnode->func_graph()->get_return(); | |||
| if (ret != nullptr) { | |||
| DeepFirstSearcher::Visit(ret); | |||
| } | |||
| auto &inputs = cnode->inputs(); | |||
| for (auto iter = inputs.rbegin(); iter != inputs.rend(); ++iter) { | |||
| DeepFirstSearcher::Visit(*iter); | |||
| } | |||
| } | |||
| void Visit(const ValueNodePtr &vnode) override { | |||
| if (!IsValueNode<FuncGraph>(vnode)) { | |||
| return; | |||
| } | |||
| auto graph = GetValueNode<FuncGraphPtr>(vnode); | |||
| AnfNodePtr ret = graph->get_return(); | |||
| if (ret != nullptr) { | |||
| DeepFirstSearcher::Visit(ret); | |||
| } | |||
| } | |||
| void Visit(const ParameterPtr ¶m) override { | |||
| if (param->func_graph() == nullptr) { | |||
| return; | |||
| } | |||
| AnfNodePtr ret = param->func_graph()->get_return(); | |||
| if (ret != nullptr) { | |||
| DeepFirstSearcher::Visit(ret); | |||
| } | |||
| } | |||
| }; | |||
| class DeepUsedGraphSearcher : public DeepFirstSearcher { | |||
| public: | |||
| explicit DeepUsedGraphSearcher(const IncludeFunc &include) : DeepFirstSearcher(include) {} | |||
| ~DeepUsedGraphSearcher() override = default; | |||
| void Visit(const CNodePtr &cnode) override { | |||
| auto &inputs = cnode->inputs(); | |||
| for (auto iter = inputs.rbegin(); iter != inputs.rend(); ++iter) { | |||
| DeepFirstSearcher::Visit(*iter); | |||
| } | |||
| } | |||
| void Visit(const ValueNodePtr &vnode) override { | |||
| if (!IsValueNode<FuncGraph>(vnode)) { | |||
| return; | |||
| } | |||
| auto graph = GetValueNode<FuncGraphPtr>(vnode); | |||
| AnfNodePtr ret = graph->get_return(); | |||
| if (ret != nullptr) { | |||
| DeepFirstSearcher::Visit(ret); | |||
| } | |||
| } | |||
| }; | |||
| class DeepLinkedGraphSearcher : public DeepFirstSearcher { | |||
| public: | |||
| explicit DeepLinkedGraphSearcher(const IncludeFunc &include) : DeepFirstSearcher(include) {} | |||
| ~DeepLinkedGraphSearcher() override = default; | |||
| void Visit(const CNodePtr &cnode) override { | |||
| auto &inputs = cnode->inputs(); | |||
| for (auto iter = inputs.rbegin(); iter != inputs.rend(); ++iter) { | |||
| DeepFirstSearcher::Visit(*iter); | |||
| } | |||
| } | |||
| void Visit(const ValueNodePtr &) override {} | |||
| }; | |||
| } // namespace | |||
| std::vector<AnfNodePtr> DeepScopedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include) { | |||
| return DeepScopedGraphSearcher(include).Search(root); | |||
| } | |||
| std::vector<AnfNodePtr> DeepUsedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include) { | |||
| return DeepUsedGraphSearcher(include).Search(root); | |||
| } | |||
| std::vector<AnfNodePtr> DeepLinkedGraphSearch(const AnfNodePtr &root, const IncludeFunc &include) { | |||
| return DeepLinkedGraphSearcher(include).Search(root); | |||
| } | |||
| } // namespace mindspore | |||
| @@ -1,5 +1,5 @@ | |||
| /** | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -22,6 +22,7 @@ | |||
| #include "ir/anf.h" | |||
| #include "utils/callbacks.h" | |||
| #include "utils/graph_utils.h" | |||
| #include "utils/base_ref_extends.h" | |||
| #include "session/session_factory.h" | |||
| #include "common/utils.h" | |||
| #ifdef ENABLE_GE | |||
| @@ -1,7 +1,7 @@ | |||
| /** | |||
| * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/). | |||
| * | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -24,6 +24,7 @@ | |||
| #include "vm/backend.h" | |||
| #include "vm/transform.h" | |||
| #include "pipeline/parse/data_converter.h" | |||
| #include "utils/base_ref_extends.h" | |||
| namespace mindspore { | |||
| namespace compile { | |||
| @@ -1,7 +1,7 @@ | |||
| /** | |||
| * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/). | |||
| * | |||
| * Copyright 2019 Huawei Technologies Co., Ltd | |||
| * Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
| * | |||
| * Licensed under the Apache License, Version 2.0 (the "License"); | |||
| * you may not use this file except in compliance with the License. | |||
| @@ -30,7 +30,7 @@ | |||
| #include <unordered_map> | |||
| #include "ir/anf.h" | |||
| #include "utils/base_ref.h" | |||
| #include "utils/base_ref_extends.h" | |||
| namespace mindspore { | |||
| namespace compile { | |||
| @@ -24,10 +24,10 @@ | |||
| #include <memory> | |||
| #include <vector> | |||
| #include "utils/base_ref_extends.h" | |||
| #include "ir/anf.h" | |||
| #include "ir/manager.h" | |||
| #include "ir/tensor.h" | |||
| #include "utils/base_ref.h" | |||
| namespace mindspore { | |||
| namespace compile { | |||