clean codex

mindspore/ccsrc/backend/kernel_compiler/hccl/hccl_context.cc

@@ -23,13 +23,16 @@ constexpr auto kHcclConfigFileOld = "RANK_TABLE_FILE";
 
 namespace mindspore {
 namespace kernel {
-std::string GetRankId() {
-  std::string rank_id_str;
-  rank_id_str = std::getenv("RANK_ID");
-  if (rank_id_str.empty()) {
-    MS_LOG(ERROR) << "Get hccl rankid failed, please set env RANK_ID";
+int GetRankId() {
+  auto rank_id_env = std::getenv("RANK_ID");
+  if (rank_id_env == nullptr) {
+    MS_LOG(EXCEPTION) << "No RANK_ID, please export RANK_ID";
+  }
+  try {
+    return std::stoi(rank_id_env);
+  } catch (std::invalid_argument &e) {
+    MS_LOG(EXCEPTION) << "Invalid rankd id env:" << rank_id_env;
   }
-  return rank_id_str;
 }
 
 bool HcclContext::InitHccl() {
@@ -45,14 +48,7 @@ bool HcclContext::InitHccl() {
     }
   }
 
-  auto rank_id = GetRankId();
-  try {
-    rank_id_ = std::stoi(rank_id);
-  } catch (std::invalid_argument &e) {
-    MS_LOG(ERROR) << "Invalid rankd id env:" << rank_id;
-    return false;
-  }
-
+  rank_id_ = GetRankId();
   if (rank_id_ < 0 || rank_id_ > 7) {
     MS_LOG(ERROR) << "rank_id needs to be between 0-7";
     return false;

mindspore/ccsrc/runtime/device/ascend/ascend_kernel_runtime.cc

@@ -46,7 +46,6 @@
 #include "backend/optimizer/mem_reuse/mem_reuse_checker.h"
 #endif
 #include "runtime/device/ascend/executor/tiling/op_tiling_calculater.h"
-#include "runtime/device/executor/executor_callback.h"
 #include "runtime/device/ascend/executor/hccl_dynamic_kernel.h"
 #include "utils/config_manager.h"
 #include "runtime/device/ascend/profiling/reporter/op_name_task_stream_reporter.h"

mindspore/ccsrc/runtime/device/ascend/executor/ai_cpu_dynamic_kernel.cc

@@ -24,7 +24,6 @@
 #include "utils/utils.h"
 #include "backend/session/anf_runtime_algorithm.h"
 #include "backend/kernel_compiler/aicpu/aicpu_util.h"
-#include "runtime/device/executor/executor_callback.h"
 
 namespace mindspore {
 namespace device {

mindspore/ccsrc/runtime/device/ascend/executor/aicpu_ext_info_handle.cc

@@ -37,7 +37,10 @@ bool AicpuExtInfoHandler::Parse(const std::string &ext_info) {
   ext_info_.reset(new (std::nothrow) uint8_t[ext_info_len_]);
   MS_EXCEPTION_IF_NULL(ext_info_);
 
-  (void)memcpy_s(ext_info_.get(), ext_info_len_, ext_info.c_str(), ext_info.size());
+  auto ret = memcpy_s(ext_info_.get(), ext_info_len_, ext_info.c_str(), ext_info.size());
+  if (ret != 0) {
+    MS_LOG(EXCEPTION) << "The memcpy_s failed, errorno(" << ret << ")";
+  }
 
   input_shape_and_type_.clear();
   output_shape_and_type_.clear();

mindspore/ccsrc/runtime/device/executor/executor_callback.cc

@@ -1,39 +0,0 @@
-/**
- * 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 "runtime/device/executor/executor_callback.h"
-#include "utils/log_adapter.h"
-
-namespace mindspore {
-namespace device {
-void ExecutorCallback::RegistCallback(const std::function<void()> &callback) {
-  std::lock_guard<std::mutex> guard(lock_);
-  callback_queue_.push(callback);
-}
-
-void ExecutorCallback::Consume() {
-  std::lock_guard<std::mutex> guard(lock_);
-  while (!callback_queue_.empty()) {
-    auto callback_func = callback_queue_.front();
-    callback_queue_.pop();
-    if (!callback_func) {
-      MS_LOG(EXCEPTION) << "callback_func is empty";
-    }
-    callback_func();
-  }
-}
-}  // namespace device
-}  // namespace mindspore

mindspore/ccsrc/runtime/device/executor/executor_callback.h

@@ -1,47 +0,0 @@
-/**
- * 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_MINDSPORE_CCSRC_RUNTIME_DEVICE_EXECUTOR_EXECUTOR_CALLBACK_H_
-#define MINDSPORE_MINDSPORE_CCSRC_RUNTIME_DEVICE_EXECUTOR_EXECUTOR_CALLBACK_H_
-
-#include <queue>
-#include <mutex>
-#include <functional>
-#include "utils/ms_utils.h"
-
-namespace mindspore {
-namespace device {
-class ExecutorCallback {
- public:
-  static ExecutorCallback &GetInstance() {
-    static ExecutorCallback instance;
-    return instance;
-  }
-
-  void RegistCallback(const std::function<void()> &callback);
-  void Consume();
-
- private:
-  ExecutorCallback() = default;
-  ~ExecutorCallback() = default;
-  DISABLE_COPY_AND_ASSIGN(ExecutorCallback);
-
-  std::queue<std::function<void()>> callback_queue_;
-  std::mutex lock_;
-};
-}  // namespace device
-}  // namespace mindspore
-#endif  // MINDSPORE_MINDSPORE_CCSRC_RUNTIME_DEVICE_EXECUTOR_EXECUTOR_CALLBACK_H_

mindspore/ops/operations/nn_ops.py

@@ -1124,6 +1124,7 @@ class BatchNorm(PrimitiveWithInfer):
 
     Inputs:
         If `is_training` is False, inputs are Tensors.
+
         - **input_x** (Tensor) - Tensor of shape :math:`(N, C)`, with float16 or float32 data type.
         - **scale** (Tensor) - Tensor of shape :math:`(C,)`, with float16 or float32 data type.
         - **bias** (Tensor) - Tensor of shape :math:`(C,)`, has the same data type with `scale`.
@@ -1131,6 +1132,7 @@ class BatchNorm(PrimitiveWithInfer):
         - **variance** (Tensor) - Tensor of shape :math:`(C,)`, has the same data type with `mean`.
 
         If `is_training` is True, `scale`, `bias`, `mean` and `variance` are Parameters.
+
         - **input_x** (Tensor) - Tensor of shape :math:`(N, C)`, with float16 or float32 data type.
         - **scale** (Parameter) - Parameter of shape :math:`(C,)`, with float16 or float32 data type.
         - **bias** (Parameter) - Parameter of shape :math:`(C,)`, has the same data type with `scale`.

tests/ut/cpp/stub/dynamic_shape/dynamic_shape_stub.cc

@@ -19,19 +19,11 @@
 #include "runtime/device/ascend/executor/rts/profiling_rts_dynamic_kernel.h"
 #include "runtime/device/ascend/executor/ai_core_dynamic_kernel.h"
 #include "profiler/device/ascend/rt_callback_manager.h"
-#include "runtime/device/executor/executor_callback.h"
 #include "profiler/device/ascend/ascend_profiling.h"
 #include "runtime/device/ascend/executor/tiling/op_tiling_calculater.h"
 #include "backend/kernel_compiler/host/host_kernel_metadata.h"
 #include "backend/kernel_compiler/host/host_kernel_build.h"
 
-namespace mindspore {
-namespace device {
-void ExecutorCallback::RegistCallback(const std::function<void()> &callback) {}
-void ExecutorCallback::Consume() {}
-}  // namespace device
-}  // namespace mindspore
-
 namespace mindspore {
 namespace device {
 namespace ascend {