rm compile macro

ge/CMakeLists.txt

@@ -124,7 +124,7 @@ set(TRAIN_SRC_LIST
     "graph/manager/graph_var_manager.cc"
     "graph/manager/host_mem_manager.cc"
     "graph/manager/rdma_pool_allocator.cc"
-    $<$<NOT:$<STREQUAL:${ENABLE_OPEN_SRC},True>>:graph/manager/host_mem_allocator.cc>
+    "graph/manager/host_mem_allocator.cc"
     "graph/manager/memory_api.cc"
     "graph/manager/model_manager/event_manager.cc"
     "graph/manager/trans_var_data_utils.cc"
@@ -166,7 +166,7 @@ set(TRAIN_SRC_LIST
     "graph/passes/hccl_group_pass.cc"
     "graph/passes/enter_pass.cc"
     "graph/passes/assign_remove_pass.cc"
-    $<$<NOT:$<STREQUAL:${ENABLE_OPEN_SRC},True>>:graph/passes/inplace_support_check_pass.cc>
+    "graph/passes/inplace_support_check_pass.cc"
     "graph/passes/flow_ctrl_pass.cc"
     "graph/passes/global_step_insert_pass.cc"
     "host_kernels/transpose_kernel.cc"
@@ -409,7 +409,7 @@ set(INFER_SRC_LIST
     "graph/manager/graph_var_manager.cc"
     "graph/manager/host_mem_manager.cc"
     "graph/manager/rdma_pool_allocator.cc"
-    $<$<NOT:$<STREQUAL:${ENABLE_OPEN_SRC},True>>:graph/manager/host_mem_allocator.cc>
+    "graph/manager/host_mem_allocator.cc"
     "graph/manager/graph_mem_allocator.cc"
     "graph/manager/graph_caching_allocator.cc"
     "model/ge_model.cc"
@@ -531,7 +531,7 @@ set(INFER_SRC_LIST
     "graph/passes/for_pass.cc"
     "graph/passes/enter_pass.cc"
     "graph/passes/assign_remove_pass.cc"
-    $<$<NOT:$<STREQUAL:${ENABLE_OPEN_SRC},True>>:graph/passes/inplace_support_check_pass.cc>
+    "graph/passes/inplace_support_check_pass.cc"
     "graph/passes/addn_pass.cc"
     "graph/passes/common_subexpression_elimination_pass.cc"
     "graph/passes/remove_same_const_pass.cc"

ge/executor/CMakeLists.txt

@@ -28,7 +28,7 @@ set(SRC_LIST
     "../graph/manager/trans_var_data_utils.cc"
     "../graph/manager/util/debug.cc"
     "../graph/manager/rdma_pool_allocator.cc"
-    $<$<NOT:$<STREQUAL:${ENABLE_OPEN_SRC},True>>:../graph/manager/host_mem_allocator.cc>
+    "../graph/manager/host_mem_allocator.cc"
     "../hybrid/node_executor/aicpu/aicpu_ext_info.cc"
     "../model/ge_model.cc"
     "../model/ge_root_model.cc"

ge/ge_local_engine/engine/host_cpu_engine.cc

@@ -26,7 +26,6 @@
 #include "common/math/math_util.h"
 
 namespace {
-#ifndef ONLY_COMPILE_OPEN_SRC
 #define CREATE_OUTPUT_CASE(DTYPE, TYPE)                                                                                \
   case (DTYPE): {                                                                                                      \
     GeTensorPtr ge_tensor = nullptr;                                                                                   \
@@ -50,43 +49,6 @@ namespace {
     named_outputs.emplace(tensor_name, tensor);                                                                        \
     break;                                                                                                             \
   }
-#else
-#define CREATE_OUTPUT_CASE(DTYPE, TYPE)                                                                                \
-  case (DTYPE): {                                                                                                      \
-    GeTensorPtr ge_tensor = nullptr;                                                                                   \
-    if (need_create_flag) {                                                                                            \
-      GELOGI("node:%s allocate output %zu start, size=%lld", op_desc->GetName().c_str(), i, data_num * sizeof(TYPE));  \
-      std::unique_ptr<TYPE[]> buf(new (std::nothrow) TYPE[data_num]());                                                \
-      if (buf == nullptr) {                                                                                            \
-        GELOGE(MEMALLOC_FAILED, "New sizeof(T) * data_num(%zu) memory failed",                                         \
-               static_cast<size_t>(sizeof(TYPE) * data_num));                                                          \
-        return MEMALLOC_FAILED;                                                                                        \
-      }                                                                                                                \
-      ge_tensor = MakeShared<GeTensor>(out_desc);                                                                      \
-      GE_CHECK_NOTNULL(ge_tensor);                                                                                     \
-      GELOGD("node:%s allocate output %zu success, size=%lld", op_desc->GetName().c_str(), i, data_num * sizeof(TYPE));\
-      if (ge_tensor->SetData(reinterpret_cast<uint8_t *>(buf.get()), data_num * sizeof(TYPE)) != GRAPH_SUCCESS) {      \
-        GELOGE(MEMALLOC_FAILED, "Set data for output %zu of node %s failed.", i, op_desc->GetName().c_str());          \
-        return MEMALLOC_FAILED;                                                                                        \
-      }                                                                                                                \
-      ge_tensor->MutableTensorDesc().SetDataType(out_desc.GetDataType());                                              \
-      ge_tensor->MutableTensorDesc().SetShape(out_desc.GetShape());                                                    \
-      outputs.emplace_back(ge_tensor);                                                                                 \
-    } else {                                                                                                           \
-      ge_tensor = outputs[i];                                                                                          \
-      GE_CHECK_NOTNULL(ge_tensor);                                                                                     \
-      GELOGD("node:%s existed output %zu", op_desc->GetName().c_str(), i);                                             \
-    }                                                                                                                  \
-    auto tensor = TensorAdapter::AsTensor(*ge_tensor);                                                                 \
-    auto tensor_name = op_desc->GetOutputNameByIndex(i);                                                               \
-    GE_RETURN_WITH_LOG_IF_TRUE(tensor_name.empty(), "Failed to get output name. node = %s, index = %zu",               \
-                               op_desc->GetName().c_str(), i);                                                         \
-    GELOGD("Successfully inserted output tensor. node = %s, index = %zu, output name = %s, addr = %p, size = %zu",     \
-           op_desc->GetName().c_str(), i, tensor_name.c_str(), tensor.GetData(), tensor.GetSize());                    \
-    named_outputs.emplace(tensor_name, tensor);                                                                        \
-    break;                                                                                                             \
-  }
-#endif
 }
 
 namespace ge {

ge/graph/manager/graph_manager.cc

@@ -38,10 +38,8 @@
 #include "graph/partition/stage_partition.h"
 #include "graph/passes/addn_pass.h"
 #include "graph/passes/bitcast_pass.h"
-#ifndef ONLY_COMPILE_OPEN_SRC
 #include "graph/passes/assign_remove_pass.h"
 #include "graph/passes/inplace_support_check_pass.h"
-#endif
 #include "graph/passes/atomic_addr_clean_pass.h"
 #include "graph/passes/attach_stream_label_pass.h"
 #include "graph/passes/cast_remove_pass.h"
@@ -2269,20 +2267,16 @@ Status GraphManager::OptimizeStage2(ge::ComputeGraphPtr &compute_graph) {
   ReshapeRemovePass reshape_remove_pass;
   CondRemovePass condition_remove_pass;
   BitcastPass bitcast_pass;
-#ifndef ONLY_COMPILE_OPEN_SRC
   AssignRemovePass assign_remove_pass;
   InplaceSupportCheckPass inplace_support_check_pass;
-#endif
   names_to_passes.emplace_back("ConstantFoldingPass", &constant_folding_pass);
   names_to_passes.emplace_back("ReshapeRemovePass", &reshape_remove_pass);
   names_to_passes.emplace_back("CondRemovePass", &condition_remove_pass);
   names_to_passes.emplace_back("BitcastPass", &bitcast_pass);
-#ifndef ONLY_COMPILE_OPEN_SRC
   if (GetContext().GetHostExecFlag()) {
     names_to_passes.emplace_back("AssignRemovePass", &assign_remove_pass);
     names_to_passes.emplace_back("InplaceSupportCheckPass", &inplace_support_check_pass);
   }
-#endif
   GE_TIMESTAMP_START(names_to_passes);
   ret = GEPass(compute_graph).Run(names_to_passes);
   GE_TIMESTAMP_END(names_to_passes, "OptimizeStage2::MergedGraphNameToPasses");

ge/graph/manager/graph_mem_allocator.cc

@@ -19,9 +19,7 @@
 #include <string>
 #include "graph/manager/graph_caching_allocator.h"
 #include "graph/manager/rdma_pool_allocator.h"
-#ifndef ONLY_COMPILE_OPEN_SRC
 #include "graph/manager/host_mem_allocator.h"
-#endif
 namespace ge {
 void MemoryAllocator::Initialize(uint32_t device_id) {
   GELOGI("MemoryAllocator::Initialize");
@@ -192,12 +190,10 @@ Status MemManager::Initialize(const std::vector<rtMemType_t> &memory_type) {
     GELOGE(ge::INTERNAL_ERROR, "Create RdmaAllocator failed.");
     return ge::INTERNAL_ERROR;
   }
-#ifndef ONLY_COMPILE_OPEN_SRC
   if (InitAllocator(memory_type, host_allocator_map_) != SUCCESS) {
     GELOGE(ge::INTERNAL_ERROR, "Create HostMemAllocator failed.");
     return ge::INTERNAL_ERROR;
   }
-#endif
   return SUCCESS;
 }
 
@@ -219,9 +215,7 @@ void MemManager::Finalize() noexcept {
   // caching and rdma allocator use memory allocator, so finalize them first
   FinalizeAllocatorMap(caching_allocator_map_);
   FinalizeAllocatorMap(rdma_allocator_map_);
-#ifndef ONLY_COMPILE_OPEN_SRC
   FinalizeAllocatorMap(host_allocator_map_);
-#endif
   FinalizeAllocatorMap(memory_allocator_map_);
 }
 
@@ -250,9 +244,7 @@ CachingAllocator &MemManager::CachingInstance(rtMemType_t memory_type) {
 RdmaPoolAllocator &MemManager::RdmaPoolInstance(rtMemType_t memory_type) {
   return Instance().GetAllocator(memory_type, rdma_allocator_map_);
 }
-#ifndef ONLY_COMPILE_OPEN_SRC
 HostMemAllocator &MemManager::HostMemInstance(rtMemType_t memory_type) {
   return Instance().GetAllocator(memory_type, host_allocator_map_);
 }
-#endif
 }  // namespace ge

ge/graph/manager/graph_mem_allocator.h

@@ -139,9 +139,7 @@ class MemoryAllocator {
 using MemoryAllocatorPtr = std::shared_ptr<MemoryAllocator>;
 class CachingAllocator;
 class RdmaPoolAllocator;
-#ifndef ONLY_COMPILE_OPEN_SRC
 class HostMemAllocator;
-#endif
 class MemManager {
  public:
   MemManager();
@@ -150,9 +148,7 @@ class MemManager {
   static MemoryAllocator *Instance(rtMemType_t memory_type);
   CachingAllocator &CachingInstance(rtMemType_t memory_type);
   RdmaPoolAllocator &RdmaPoolInstance(rtMemType_t memory_type);
-#ifndef ONLY_COMPILE_OPEN_SRC
   HostMemAllocator &HostMemInstance(rtMemType_t memory_type);
-#endif
   MemManager(const MemManager &) = delete;
   MemManager &operator=(const MemManager &) = delete;
   ///
@@ -240,9 +236,7 @@ class MemManager {
   std::map<rtMemType_t, MemoryAllocator *> memory_allocator_map_;
   std::map<rtMemType_t, CachingAllocator *> caching_allocator_map_;
   std::map<rtMemType_t, RdmaPoolAllocator *> rdma_allocator_map_;
-#ifndef ONLY_COMPILE_OPEN_SRC
   std::map<rtMemType_t, HostMemAllocator *> host_allocator_map_;
-#endif
   std::recursive_mutex allocator_mutex_;
 };
 }  // namespace ge

ge/graph/manager/host_mem_allocator.h

@@ -27,7 +27,7 @@
 namespace ge {
 class HostMemAllocator {
  public:
-  explicit HostMemAllocator(rtMemType_t)  {}
+  explicit HostMemAllocator(rtMemType_t) {}
   ~HostMemAllocator() = default;
 
   HostMemAllocator(const HostMemAllocator &) = delete;

ge/graph/manager/host_mem_manager.cc

@@ -43,29 +43,20 @@ Status SharedMemAllocator::Allocate(SharedMemInfo &mem_info) {
     return GE_GRAPH_MEMORY_ALLOC_FAILED;
   }
   mem_info.fd = output_para.fd;
-#ifndef ONLY_COMPILE_OPEN_SRC
   mem_info.host_aligned_ptr = AlignedPtr::BuildFromAllocFunc([&output_para](std::unique_ptr<uint8_t[], deleter> &ptr) {
                                                                ptr.reset(reinterpret_cast<uint8_t *>(output_para.ptr));
                                                              },
                                                              [](uint8_t *ptr) {
                                                                ptr = nullptr;
                                                              });
-#else
-  mem_info.host_address = reinterpret_cast<uint8_t *>(output_para.ptr);
-#endif
   mem_info.device_address = reinterpret_cast<uint8_t *>(output_para.devPtr);
   return SUCCESS;
 }
 
 Status SharedMemAllocator::DeAllocate(SharedMemInfo &mem_info) {
   GELOGD("SharedMemAllocator::DeAllocate");
-#ifndef ONLY_COMPILE_OPEN_SRC
   rtFreeHostSharedMemoryIn free_para = {mem_info.shm_name.c_str(), mem_info.mem_size, mem_info.fd,
                                         mem_info.host_aligned_ptr->MutableGet(), mem_info.device_address};
-#else
-  rtFreeHostSharedMemoryIn free_para = {mem_info.shm_name.c_str(), mem_info.mem_size, mem_info.fd,
-                                        mem_info.host_address, mem_info.device_address};
-#endif
   rtError_t rt_ret = rtFreeHostSharedMemory(&free_para);
   if (rt_ret != RT_ERROR_NONE) {
     GELOGE(RT_FAILED, "Call rt api(rtFreeHostSharedMemory) failed, ret: 0x%X.", rt_ret);

ge/graph/manager/host_mem_manager.h

@@ -42,11 +42,7 @@ struct SharedMemInfo {
   uint64_t mem_size = 0;
   int fd = 0;
   uint8_t *device_address = nullptr;
-#ifndef ONLY_COMPILE_OPEN_SRC
   std::shared_ptr<AlignedPtr> host_aligned_ptr = nullptr;
-#else
-  uint8_t *host_address = nullptr;
-#endif
   SharedMemInfo() = default;
   SharedMemInfo(string name, uint64_t size) : op_name(std::move(name)), mem_size(size) {}
 };

ge/graph/optimize/graph_optimize.cc

@@ -127,6 +127,10 @@ Status GraphOptimize::OptimizeSubGraph(ComputeGraphPtr &compute_graph, const std
 }
 
 Status GraphOptimize::OptimizeOriginalGraph(ComputeGraphPtr &compute_graph) {
+  if (GetContext().GetHostExecFlag()) {
+    // graph exec on host, no need OptimizeOriginalGraph
+    return SUCCESS;
+  }
   if (compute_graph == nullptr) {
     GELOGE(GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL, "[OptimizeOriginalGraph]: compute_graph is nullptr.");
     return GE_GRAPH_OPTIMIZE_COMPUTE_GRAPH_NULL;
@@ -162,7 +166,7 @@ Status GraphOptimize::OptimizeOriginalGraph(ComputeGraphPtr &compute_graph) {
 Status GraphOptimize::OptimizeOriginalGraphJudgeInsert(ComputeGraphPtr &compute_graph) {
   GELOGD("OptimizeOriginalGraphJudgeInsert in");
   if (GetContext().GetHostExecFlag()) {
-    // graph exec on host, no need OptimizeOriginalGraph
+    // graph exec on host, no need OptimizeOriginalGraphJudgeInsert
     return SUCCESS;
   }
 

ge/graph/passes/assign_remove_pass.cc

@@ -29,7 +29,6 @@ static const std::set<std::string> kNoTaskNodeTypes = { ge::DATA, ge::ANN_DATA,
 }
 
 namespace ge {
-#ifndef ONLY_COMPILE_OPEN_SRC
 Status AssignRemovePass::Run(NodePtr &node) {
   GELOGD("AssignRemovePass running");
 
@@ -145,71 +144,7 @@ Status AssignRemovePass::TransformAttr(NodePtr &node) {
   }
   return SUCCESS;
 }
-#else
-Status AssignRemovePass::Run(NodePtr &node) {
-  GELOGD("AssignRemovePass running");
-  if (node->GetType() != ASSIGN) {
-    GELOGD("No need run AssignRemovePass on [%s, %s].", node->GetName().c_str(), node->GetType().c_str());
-    return SUCCESS;
-  }
-
-  const auto &ref_in_anchor = node->GetInDataAnchor(kAssignRefInputIndex);
-  const auto &value_in_anchor = node->GetInDataAnchor(kAssignValueInputIndex);
-  if ((ref_in_anchor == nullptr) || (value_in_anchor == nullptr)) {
-    GELOGE(FAILED, "In data anchor is null, node:%s", node->GetName().c_str());
-    return FAILED;
-  }
-  const auto &ref_peer_anchor = ref_in_anchor->GetPeerOutAnchor();
-  const auto &value_peer_anchor = value_in_anchor->GetPeerOutAnchor();
-  if ((ref_peer_anchor == nullptr) || (value_peer_anchor == nullptr)) {
-    GELOGE(FAILED, "Peer data anchor is null, node:%s", node->GetName().c_str());
-    return FAILED;
-  }
-
-  if (IsCondMatch(node, ref_peer_anchor, value_peer_anchor)) {
-    ///
-    ///    variable  not-const               not-const
-    ///         \     /                          |
-    ///          \   /                           |
-    ///         Assign           ---->        variable
-    ///           |                              |
-    ///           |                              |
-    ///         node                           node
-    ///
-    GELOGI("Optimization for assign_node %s start", node->GetName().c_str());
-    if (IsolateAndDeleteNode(node, {kAssignRefInputIndex}) != SUCCESS) {
-      GELOGE(FAILED, "Isolate and delete assign_node %s failed.", node->GetName().c_str());
-      return FAILED;
-    }
-    AddNodeDeleted(node);
-
-    const auto &ref_input = ref_peer_anchor->GetOwnerNode()->GetOpDesc();
-    const auto &value_input = value_peer_anchor->GetOwnerNode()->GetOpDesc();
-    if ((ref_input == nullptr) || (value_input == nullptr)) {
-      GELOGE(FAILED, "value input is null");
-      return FAILED;
-    }
-    if (!AttrUtils::SetStr(value_input->MutableOutputDesc(value_peer_anchor->GetIdx()), ASSIGN_VAR_NAME,
-                           ref_input->GetName())) {
-      GELOGE(FAILED, "Set attr ASSIGN_VAR_NAME failed.");
-      return FAILED;
-    }
 
-    // variable has and only has one input
-    if (ref_input->UpdateInputDesc(0, value_input->GetOutputDesc(value_peer_anchor->GetIdx())) != GRAPH_SUCCESS) {
-      GELOGE(FAILED, "Update input_desc for variable %s failed.", ref_input->GetName().c_str());
-      return FAILED;
-    }
-    if (GraphUtils::AddEdge(value_peer_anchor, ref_peer_anchor->GetOwnerNode()->GetInDataAnchor(0)) != GRAPH_SUCCESS) {
-      GELOGE(FAILED, "Add data edge %s->%s failed", value_input->GetName().c_str(), ref_input->GetName().c_str());
-      return FAILED;
-    }
-  }
-
-  GELOGD("AssignRemovePass success");
-  return SUCCESS;
-}
-#endif
 ///
 /// @brief Check if need optimize for assign_node
 /// @param [in] assign_node
@@ -218,7 +153,7 @@ Status AssignRemovePass::Run(NodePtr &node) {
 /// @return Status
 ///
 bool AssignRemovePass::IsCondMatch(const NodePtr &node, const OutDataAnchorPtr &ref_peer_anchor,
-                             const OutDataAnchorPtr &value_peer_anchor) {
+                                   const OutDataAnchorPtr &value_peer_anchor) {
   GELOGD("Check if assign_node %s match optimization condition, ref_input: %s, value_input: %s",
          node->GetName().c_str(), ref_peer_anchor->GetOwnerNode()->GetName().c_str(),
          value_peer_anchor->GetOwnerNode()->GetName().c_str());

ge/graph/passes/assign_remove_pass.h

@@ -25,7 +25,6 @@ class AssignRemovePass : public BaseNodePass {
   Status Run(NodePtr &node) override;
 
  private:
-#ifndef ONLY_COMPILE_OPEN_SRC
   ///
   /// @brief Optimize for assign_node
   /// @param [in] assign_node
@@ -39,7 +38,7 @@ class AssignRemovePass : public BaseNodePass {
   /// @return Status
   ///
   Status TransformAttr(NodePtr &node);
-#endif
+
   ///
   /// @brief Check if need optimize for assign_node
   /// @param [in] assign_node

ge/graph/passes/constant_fuse_same_pass.cc

@@ -115,21 +115,15 @@ void ConstantFuseSamePass::GetFuseConstNodes(ComputeGraphPtr &graph,
              TypeUtils::DataTypeToSerialString(data_type).c_str());
       continue;
     }
-#ifndef ONLY_COMPILE_OPEN_SRC
     if ((type_size != 0) && (weight->MutableData().GetAlignedPtr() == nullptr)) {
       GELOGW("aligned_ptr is null while size is not 0");
       continue;
     }
-#endif
     ++insert_const_nums;
 
     SameConstKey map_key;
     map_key.data_size = type_size;
-#ifndef ONLY_COMPILE_OPEN_SRC
     map_key.aligned_ptr = weight->MutableData().GetAlignedPtr();
-#else
-    map_key.data = weight->GetData().GetData();
-#endif
     map_key.data_type = data_type;
     map_key.format = output_tensor->GetFormat();
     map_key.shape = output_tensor->GetShape().GetDims();

ge/graph/passes/constant_fuse_same_pass.h

@@ -21,20 +21,14 @@
 #include <set>
 #include <utility>
 #include <vector>
-#ifndef ONLY_COMPILE_OPEN_SRC
 #include "graph/aligned_ptr.h"
-#endif
 #include "graph/types.h"
 #include "inc/graph_pass.h"
 
 namespace ge {
 struct SameConstKey {
   int data_size;
-#ifndef ONLY_COMPILE_OPEN_SRC
   std::shared_ptr<AlignedPtr> aligned_ptr;
-#else
-  const uint8_t *data;
-#endif
   DataType data_type;
   Format format;
   std::vector<int64_t> shape;
@@ -44,19 +38,12 @@ struct SameConstKey {
     if (data_size != key.data_size) {
       return data_size < key.data_size;
     }
-#ifndef ONLY_COMPILE_OPEN_SRC
     if (data_size != 0) {
       int ret = memcmp(aligned_ptr->Get(), key.aligned_ptr->Get(), data_size);
       if (ret != 0) {
         return ret < 0;
       }
     }
-#else
-    int ret = memcmp(data, key.data, data_size);
-    if (ret != 0) {
-      return ret < 0;
-    }
-#endif
     if (data_type != key.data_type) {
       return data_type < key.data_type;
     }

ge/graph/preprocess/graph_preprocess.cc

@@ -38,9 +38,6 @@
 #include "graph/passes/aicpu_constant_folding_pass.h"
 #include "graph/passes/assert_pass.h"
 #include "ge/ge_api_types.h"
-#ifdef ONLY_COMPILE_OPEN_SRC
-#include "graph/passes/assign_remove_pass.h"
-#endif
 #include "graph/passes/common_subexpression_elimination_pass.h"
 #include "graph/passes/cond_pass.h"
 #include "graph/passes/cond_remove_pass.h"
@@ -1865,9 +1862,6 @@ Status GraphPrepare::PrepareOptimize() {
   VarIsInitializedOpPass var_is_initialized_pass;
   ParallelConcatStartOpPass parallel_concat_start_op_pass;
   IdentityPass identity_pass(false);
-#ifdef ONLY_COMPILE_OPEN_SRC
-  AssignRemovePass assign_remove_pass;
-#endif
   SnapshotPass snapshot_pass;
   if (!options_.train_graph_flag) {
     names_to_passes.emplace_back("DropOutPass", &dropout_pass);
@@ -1882,11 +1876,6 @@ Status GraphPrepare::PrepareOptimize() {
   names_to_passes.emplace_back("VarIsInitializedOpPass", &var_is_initialized_pass);
   names_to_passes.emplace_back("ParallelConcatStartOpPass", &parallel_concat_start_op_pass);
   names_to_passes.emplace_back("IdentityPass", &identity_pass);
-#ifdef ONLY_COMPILE_OPEN_SRC
-  if (GetContext().GetHostExecFlag()) {
-    names_to_passes.emplace_back("AssignRemovePass", &assign_remove_pass);
-  }
-#endif
   GE_TIMESTAMP_START(names_to_passes);
   ret = ge_passes.Run(names_to_passes);
   GE_TIMESTAMP_END(names_to_passes, "GraphPrepare::NamesToPasses");

ge/hybrid/common/npu_memory_allocator.cc

@@ -20,9 +20,7 @@
 #include "graph/manager/graph_caching_allocator.h"
 #include "graph/manager/graph_mem_allocator.h"
 #include "graph/manager/rdma_pool_allocator.h"
-#ifndef ONLY_COMPILE_OPEN_SRC
 #include "graph/manager/host_mem_allocator.h"
-#endif
 
 namespace ge {
 namespace hybrid {
@@ -67,11 +65,7 @@ void *NpuMemoryAllocator::Allocate(std::size_t size, AllocationAttr *attr) {
   if (mem_type == RDMA_HBM) {
     buffer = MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).Malloc(allocate_size, device_id_);
   } else if (mem_type == HOST_DDR) {
-#ifndef ONLY_COMPILE_OPEN_SRC
     buffer = MemManager::Instance().HostMemInstance(RT_MEMORY_HBM).Malloc(allocate_size);
-#else
-    buffer = malloc(allocate_size);
-#endif
   } else {
     if (allocate_size > kMaxHbmMemorySize) {
       GELOGE(PARAM_INVALID, "Invalid HBM memory size: %zu", allocate_size);
@@ -108,11 +102,7 @@ void NpuMemoryAllocator::Deallocate(void *data, MemStorageType mem_type) {
     if (mem_type == RDMA_HBM) {
       MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).Free(reinterpret_cast<uint8_t *>(data), device_id_);
     } else if (mem_type == HOST_DDR) {
-#ifndef ONLY_COMPILE_OPEN_SRC
       MemManager::Instance().HostMemInstance(RT_MEMORY_HBM).Free(data);
-#else
-      free(data);
-#endif
     } else {
       MemManager::Instance().CachingInstance(RT_MEMORY_HBM).Free(reinterpret_cast<uint8_t *>(data), device_id_);
     }

ge/hybrid/model/hybrid_model_builder.cc

@@ -25,10 +25,8 @@
 #include "graph/manager/graph_var_manager.h"
 #include "graph/manager/host_mem_manager.h"
 #include "graph/manager/trans_var_data_utils.h"
-#ifndef ONLY_COMPILE_OPEN_SRC
 #include "graph/manager/graph_mem_allocator.h"
 #include "graph/manager/host_mem_allocator.h"
-#endif
 #include "graph/utils/graph_utils.h"
 #include "hybrid/common/npu_memory_allocator.h"
 #include "hybrid/node_executor/node_executor.h"
@@ -865,7 +863,6 @@ Status HybridModelBuilder::InitConstantOps() {
 
     std::unique_ptr<TensorValue> var_tensor;
     if (GetContext().GetHostExecFlag()) {
-#ifndef ONLY_COMPILE_OPEN_SRC
       GE_CHECK_NOTNULL(ge_tensor);
       // Address for eigen kernel should be aligned with 16 bytes
       // Tensors return by api GetWeights share data with proto, whose addr is not confirmed to be aligned
@@ -878,11 +875,6 @@ Status HybridModelBuilder::InitConstantOps() {
       }
       var_tensor.reset(new(std::nothrow)TensorValue(aligned_tensor.MutableData().data(),
                                                     aligned_tensor.GetData().size()));
-#else
-      auto buffer = ge_tensor->MutableData();
-      GELOGD("Init tensor with host constant. size = %zu", buffer.GetSize());
-      var_tensor.reset(new(std::nothrow)TensorValue(buffer.GetData(), buffer.GetSize()));
-#endif
     } else {
       GE_CHK_STATUS_RET_NOLOG(VarNodeToTensor(var_node, var_tensor));
       GELOGD("Init const op tensor. name = %s, size = %ld", var_name.c_str(), var_tensor->GetSize());
@@ -937,7 +929,6 @@ Status HybridModelBuilder::InitVariableTensors() {
       GELOGE(GE_GRAPH_MALLOC_FAILED, "Host variable [%s] malloc failed.", it.first.c_str());
       return GE_GRAPH_MALLOC_FAILED;
     }
-#ifndef ONLY_COMPILE_OPEN_SRC
     if (MemManager::Instance().HostMemInstance(RT_MEMORY_HBM).Malloc(mem_info.host_aligned_ptr,
                                                                      tensor_size) == nullptr) {
       GELOGE(MEMALLOC_FAILED, "Malloc host memory for an existed GeTensor failed.");
@@ -947,11 +938,6 @@ Status HybridModelBuilder::InitVariableTensors() {
 
     std::unique_ptr<TensorValue> tensor(new (std::nothrow) TensorValue(mem_info.host_aligned_ptr->MutableGet(),
                                                                        tensor_size));
-#else
-    GELOGD("Host variable [%s] malloc success.", it.first.c_str());
-
-    std::unique_ptr<TensorValue> tensor(new (std::nothrow) TensorValue(mem_info.host_address, tensor_size));
-#endif
     GE_CHECK_NOTNULL(tensor);
     hybrid_model_.variable_tensors_.emplace(it.first, std::move(tensor));
   }

ge/hybrid/node_executor/host_cpu/host_cpu_node_executor.cc

@@ -18,10 +18,8 @@
 #include "hybrid/node_executor/host_cpu/kernel_factory.h"
 #include "graph/passes/folding_pass.h"
 #include "hybrid/model/hybrid_model.h"
-#ifndef ONLY_COMPILE_OPEN_SRC
 #include "graph/manager/graph_mem_allocator.h"
 #include "graph/manager/host_mem_allocator.h"
-#endif
 #include "ge_local_engine/engine/host_cpu_engine.h"
 
 namespace ge {
@@ -54,18 +52,11 @@ Status CpuKernelNodeTask::Execute(TaskContext &context) {
     auto input_desc_ptr = context.GetInputDesc(i);
     GE_CHECK_NOTNULL(input_desc_ptr);
     const auto &input_desc = *input_desc_ptr;
-#ifndef ONLY_COMPILE_OPEN_SRC
     auto tensor = context.GetInput(i);
     GE_CHECK_NOTNULL(tensor);
     auto item = MemManager::Instance().HostMemInstance(RT_MEMORY_HBM).GetAlignedPtr(tensor->GetData());
     GE_CHECK_NOTNULL(item.second);
     auto in_tensor = MakeShared<GeTensor>(input_desc, item.second, item.first);
-#else
-    GE_CHECK_NOTNULL(context.GetInput(i));
-    auto in_tensor = MakeShared<GeTensor>(input_desc,
-                                          reinterpret_cast<const uint8_t *>(context.GetInput(i)->GetData()),
-                                          context.GetInput(i)->GetSize());
-#endif
     GE_CHECK_NOTNULL(in_tensor);
     in_tensor->MutableTensorDesc().SetDataType(input_desc.GetDataType());
     in_tensor->MutableTensorDesc().SetShape(input_desc.GetShape());
@@ -84,15 +75,9 @@ Status CpuKernelNodeTask::Execute(TaskContext &context) {
     }
     auto tensor = context.GetOutput(i);
     GE_CHECK_NOTNULL(tensor);
-#ifndef ONLY_COMPILE_OPEN_SRC
     auto item = MemManager::Instance().HostMemInstance(RT_MEMORY_HBM).GetAlignedPtr(tensor->GetData());
     GE_CHECK_NOTNULL(item.second);
     auto out_tensor = MakeShared<GeTensor>(output_desc, item.second, item.first);
-#else
-    auto out_tensor = MakeShared<GeTensor>(output_desc,
-                                           reinterpret_cast<const uint8_t *>(tensor->GetData()),
-                                           tensor->GetSize());
-#endif
     GE_CHECK_NOTNULL(out_tensor);
     out_tensor->MutableTensorDesc().SetDataType(output_desc.GetDataType());
     out_tensor->MutableTensorDesc().SetShape(output_desc.GetShape());