modify alarm info

mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/image_process.cc

@@ -18,7 +18,7 @@
 
 #include <float.h>
 #include <limits.h>
-#include <string.h>
+#include <cstring>
 #include <cmath>
 #include <limits>
 #include <vector>
@@ -1876,7 +1876,7 @@ bool ResizePreserveARWithFiller(LiteMat &src, LiteMat &dst, int h, int w, float
   if (dst.IsEmpty()) {
     dst.Init(w, h, src.channel_, LDataType::FLOAT32);
   }
-  //  uint8_t *dst_ptr = dst;
+
   float varM[2][3] = {{1.0, 0, 0}, {0, 1.0, 0}};
   const float divisor = 2.0;
   int rotationDstWidth = src.width_;

mindspore/lite/minddata/wrapper/MDToDApi.cc

@@ -13,7 +13,8 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-#include "MDToDApi.h"  //NOLINT
+
+#include "MDToDApi.h"  // NOLINT
 
 #include <string>
 #include <fstream>
@@ -24,7 +25,7 @@
 #include <vector>
 #include <set>
 
-#include "album_op_android.h"  //NOLINT
+#include "album_op_android.h"  // NOLINT
 #include "minddata/dataset/include/dataset/execute.h"
 #include "minddata/dataset/include/dataset/type_id.h"
 #include "minddata/dataset/util/path.h"
@@ -125,7 +126,7 @@ extern "C" MDToDApi *MDToDApi_createPipeLine(MDToDConf_t MDConf) {
       MS_LOG(INFO) << "Push back resize";
       mapOperations.push_back(resize_op);
     }
-    if (1 == MDConf.fixOrientation) {
+    if (MDConf.fixOrientation == 1) {
       std::shared_ptr<TensorOperation> rotate_op = mindspore::dataset::vision::Rotate();
       MS_LOG(INFO) << "Push back rotate";
       mapOperations.push_back(rotate_op);

mindspore/lite/minddata/wrapper/album_op_android.cc

@@ -13,6 +13,7 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
+
 #include "album_op_android.h"  //NOLINT
 #include <fstream>
 #include <iomanip>
@@ -260,7 +261,6 @@ Status AlbumOp::LoadStringArrayTensor(const nlohmann::json &json_obj, uint32_t c
   std::vector<std::string> data = json_obj.get<std::vector<std::string>>();
 
   MS_LOG(INFO) << "String array label found: " << data << ".";
-  //  TensorPtr label;
   RETURN_IF_NOT_OK(Tensor::CreateFromVector(data, tensor));
   return Status::OK();
 }
@@ -276,7 +276,6 @@ Status AlbumOp::LoadStringTensor(const nlohmann::json &json_obj, uint32_t col_nu
 }
 
 Status AlbumOp::LoadIntArrayTensor(const nlohmann::json &json_obj, uint32_t col_num, TensorPtr *tensor) {
-  //  TensorPtr label;
   // consider templating this function to handle all ints
   if (data_schema_->column(col_num).type() == DataType::DE_INT64) {
     std::vector<int64_t> data;
@@ -304,7 +303,6 @@ Status AlbumOp::LoadIntArrayTensor(const nlohmann::json &json_obj, uint32_t col_
 }
 
 Status AlbumOp::LoadFloatArrayTensor(const nlohmann::json &json_obj, uint32_t col_num, TensorPtr *tensor) {
-  //  TensorPtr float_array;
   // consider templating this function to handle all ints
   if (data_schema_->column(col_num).type() == DataType::DE_FLOAT64) {
     std::vector<double> data;
@@ -333,13 +331,11 @@ Status AlbumOp::LoadFloatArrayTensor(const nlohmann::json &json_obj, uint32_t co
 
 Status AlbumOp::LoadIDTensor(const std::string &file, uint32_t col_num, TensorPtr *tensor) {
   if (data_schema_->column(col_num).type() == DataType::DE_STRING) {
-    //    TensorPtr id;
     RETURN_IF_NOT_OK(Tensor::CreateScalar<std::string>(file, tensor));
     return Status::OK();
   }
   // hack to get the file name without extension, the 1 is to get rid of the backslash character
   int64_t image_id = std::atoi(file.substr(1, file.find(".")).c_str());
-  //  TensorPtr id;
   RETURN_IF_NOT_OK(Tensor::CreateScalar<int64_t>(image_id, tensor));
   MS_LOG(INFO) << "File ID " << image_id << ".";
   return Status::OK();
@@ -347,7 +343,6 @@ Status AlbumOp::LoadIDTensor(const std::string &file, uint32_t col_num, TensorPt
 
 Status AlbumOp::LoadEmptyTensor(uint32_t col_num, TensorPtr *tensor) {
   // hack to get the file name without extension, the 1 is to get rid of the backslash character
-  //  TensorPtr empty_tensor;
   RETURN_IF_NOT_OK(Tensor::CreateEmpty(TensorShape({0}), data_schema_->column(col_num).type(), tensor));
   return Status::OK();
 }
@@ -357,7 +352,6 @@ Status AlbumOp::LoadEmptyTensor(uint32_t col_num, TensorPtr *tensor) {
 // Float64 doesn't work with reinterpret cast here. Otherwise we limit the float in the schema to
 // only be float32, seems like a weird limitation to impose
 Status AlbumOp::LoadFloatTensor(const nlohmann::json &json_obj, uint32_t col_num, TensorPtr *tensor) {
-  //  TensorPtr float_tensor;
   if (data_schema_->column(col_num).type() == DataType::DE_FLOAT64) {
     double data = json_obj;
     MS_LOG(INFO) << "double found: " << json_obj << ".";
@@ -372,7 +366,6 @@ Status AlbumOp::LoadFloatTensor(const nlohmann::json &json_obj, uint32_t col_num
 
 // Loads a tensor with int value, we have to cast the value to type specified in the schema.
 Status AlbumOp::LoadIntTensor(const nlohmann::json &json_obj, uint32_t col_num, TensorPtr *tensor) {
-  //  TensorPtr int_tensor;
   if (data_schema_->column(col_num).type() == DataType::DE_INT64) {
     int64_t data = json_obj;
     MS_LOG(INFO) << "int64 found: " << json_obj << ".";

mindspore/mindrecord/tools/cifar10.py

@@ -54,6 +54,7 @@ class RestrictedUnpickler(pickle.Unpickler):
         raise pickle.UnpicklingError("global '%s.%s' is forbidden" % (module, name))
 
 
+
 def restricted_loads(s):
     """Helper function analogous to pickle.loads()."""
     if isinstance(s, str):

mindspore/mindrecord/tools/cifar100.py

@@ -53,6 +53,7 @@ class RestrictedUnpickler(pickle.Unpickler):
         raise pickle.UnpicklingError("global '%s.%s' is forbidden" % (module, name))
 
 
+
 def restricted_loads(s):
     """Helper function analogous to pickle.loads()."""
     if isinstance(s, str):