!2552 check whether mpi instance is null

Merge pull request !2552 from chenjianping/host_reduce

mindspore/ccsrc/device/ascend/ascend_kernel_runtime.cc

@@ -60,7 +60,9 @@ std::string GetRankId() {
   auto mpi_config_ptr = MpiConfig::GetInstance();
   MS_EXCEPTION_IF_NULL(mpi_config_ptr);
   if (mpi_config_ptr->enable_mpi()) {
-    int rank_id = device::cpu::MPIAdapter::Instance().GetRankId();
+    auto mpi_instance = device::cpu::MPIAdapter::Instance();
+    MS_EXCEPTION_IF_NULL(mpi_instance);
+    int rank_id = mpi_instance->GetRankId();
     const char *offset = std::getenv("RANK_OFFSET");
     if (offset != nullptr) {
       try {

mindspore/ccsrc/kernel/cpu/allgather_cpu_kernel.cc

@@ -46,8 +46,9 @@ bool AllGatherCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
   auto input_addr = reinterpret_cast<float *>(inputs[0]->addr);
   auto output_addr = reinterpret_cast<float *>(outputs[0]->addr);
   auto input_data_num = inputs[0]->size / sizeof(float);
-
-  return device::cpu::MPIAdapter::Instance()->AllGather(input_addr, output_addr, ranks_group_, input_data_num);
+  auto mpi_instance = device::cpu::MPIAdapter::Instance();
+  MS_EXCEPTION_IF_NULL(mpi_instance);
+  return mpi_instance->AllGather(input_addr, output_addr, ranks_group_, input_data_num);
 }
 }  // namespace kernel
 }  // namespace mindspore

mindspore/ccsrc/kernel/cpu/embedding_look_up_comm_grad_cpu_kernel.cc

@@ -50,9 +50,11 @@ bool EmbeddingLookUpCommGradCPUKernel::Launch(const std::vector<kernel::AddressP
   const std::vector<int> &rank_group = {0, 1, 2, 3, 4, 5, 6, 7};
   size_t input_split_lens = input_size / split_num_ / sizeof(float_t);
   size_t output_split_lens = output_size / split_num_ / sizeof(float_t);
+  auto mpi_instance = device::cpu::MPIAdapter::Instance();
+  MS_EXCEPTION_IF_NULL(mpi_instance);
   for (int i = 0; i < split_num_; i++) {
-    device::cpu::MPIAdapter::Instance()->AllGather(input_addr + i * input_split_lens,
-                                                   output_addr + i * output_split_lens, rank_group, input_split_lens);
+    mpi_instance->AllGather(input_addr + i * input_split_lens, output_addr + i * output_split_lens, rank_group,
+                            input_split_lens);
   }
 #if defined(_WIN32) || defined(_WIN64)
   auto end_time = std::chrono::steady_clock::now();

mindspore/ccsrc/kernel/cpu/embedding_look_up_cpu_kernel.cc

@@ -104,10 +104,11 @@ bool EmbeddingLookUpCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inp
     size_t one_split_lens = gatherv2_out_lens_ / split_num_ / sizeof(float);
     size_t reduce_scatter_out_lens = one_split_lens / 8;
     const std::vector<int> &group = {0, 1, 2, 3, 4, 5, 6, 7};
+    auto mpi_instance = device::cpu::MPIAdapter::Instance();
+    MS_EXCEPTION_IF_NULL(mpi_instance);
     for (int i = 0; i < split_num_; i++) {
-      device::cpu::MPIAdapter::Instance()->ReduceScatter(reinterpret_cast<float *>(gather_v2_out_) + i * one_split_lens,
-                                                         output_addr + i * reduce_scatter_out_lens, group,
-                                                         one_split_lens / 8, "sum");
+      mpi_instance->ReduceScatter(reinterpret_cast<float *>(gather_v2_out_) + i * one_split_lens,
+                                  output_addr + i * reduce_scatter_out_lens, group, one_split_lens / 8, "sum");
     }
   }
 #endif

mindspore/ccsrc/kernel/cpu/reduce_scatter_cpu_kernel.cc

@@ -46,9 +46,9 @@ bool ReduceScatterCPUKernel::Launch(const std::vector<kernel::AddressPtr> &input
   auto input_addr = reinterpret_cast<float *>(inputs[0]->addr);
   auto output_addr = reinterpret_cast<float *>(outputs[0]->addr);
   auto output_data_num = outputs[0]->size / sizeof(float);
-
-  return device::cpu::MPIAdapter::Instance()->ReduceScatter(input_addr, output_addr, ranks_group_, output_data_num,
-                                                            op_type_);
+  auto mpi_instance = device::cpu::MPIAdapter::Instance();
+  MS_EXCEPTION_IF_NULL(mpi_instance);
+  return mpi_instance->ReduceScatter(input_addr, output_addr, ranks_group_, output_data_num, op_type_);
 }
 }  // namespace kernel
 }  // namespace mindspore