Fix some non-minddata typos

Signed-off-by: alex-yuyue <yue.yu1@huawei.com>

mindspore/ccsrc/frontend/parallel/ops_info/reduce_method_info.cc

@@ -199,7 +199,7 @@ Status ReduceMethod::InferForwardCommunication() {
   return SUCCESS;
 }
 
-ForwardOp CreatReduceMeanForwardOp(const std::vector<Group> &forward_group, const TypePtr &dtype) {
+ForwardOp CreateReduceMeanForwardOp(const std::vector<Group> &forward_group, const TypePtr &dtype) {
   // Creat AllReduceSum op
   Operator op0 = CreateAllReduceOp(REDUCE_OP_SUM, forward_group[0].name());
   std::string group_name = forward_group[0].name();
@@ -275,7 +275,7 @@ Status ReduceMeanInfo::InferForwardCommunication() {
     }
 
     auto element_type = outputs_dtype_->cast<mindspore::TensorTypePtr>()->element();
-    forward_op_ = CreatReduceMeanForwardOp(forward_group, element_type);
+    forward_op_ = CreateReduceMeanForwardOp(forward_group, element_type);
   }
 
   return SUCCESS;

model_zoo/official/cv/faster_rcnn/src/dataset.py

@@ -413,7 +413,7 @@ def data_to_mindrecord_byte_image(dataset="coco", is_training=True, prefix="fast
 
 def create_fasterrcnn_dataset(mindrecord_file, batch_size=2, device_num=1, rank_id=0, is_training=True,
                               num_parallel_workers=8):
-    """Creatr FasterRcnn dataset with MindDataset."""
+    """Create FasterRcnn dataset with MindDataset."""
     cv2.setNumThreads(0)
     de.config.set_prefetch_size(8)
     ds = de.MindDataset(mindrecord_file, columns_list=["image", "annotation"], num_shards=device_num, shard_id=rank_id,

model_zoo/official/cv/ssd/src/dataset.py

@@ -390,7 +390,7 @@ def data_to_mindrecord_byte_image(dataset="coco", is_training=True, prefix="ssd.
 
 def create_ssd_dataset(mindrecord_file, batch_size=32, repeat_num=10, device_num=1, rank=0,
                        is_training=True, num_parallel_workers=4, use_multiprocessing=True):
-    """Creatr SSD dataset with MindDataset."""
+    """Create SSD dataset with MindDataset."""
     ds = de.MindDataset(mindrecord_file, columns_list=["img_id", "image", "annotation"], num_shards=device_num,
                         shard_id=rank, num_parallel_workers=num_parallel_workers, shuffle=is_training)
     decode = C.Decode()

model_zoo/official/cv/yolov3_resnet18/src/dataset.py

@@ -291,7 +291,7 @@ def data_to_mindrecord_byte_image(image_dir, anno_path, mindrecord_dir, prefix,
 
 def create_yolo_dataset(mindrecord_dir, batch_size=32, repeat_num=1, device_num=1, rank=0,
                         is_training=True, num_parallel_workers=8):
-    """Creatr YOLOv3 dataset with MindDataset."""
+    """Create YOLOv3 dataset with MindDataset."""
     ds = de.MindDataset(mindrecord_dir, columns_list=["image", "annotation"], num_shards=device_num, shard_id=rank,
                         num_parallel_workers=num_parallel_workers, shuffle=is_training)
     decode = C.Decode()

model_zoo/official/nlp/lstm/src/dataset.py

@@ -43,7 +43,7 @@ def lstm_create_dataset(data_home, batch_size, repeat_num=1, training=True):
 
 def _convert_to_mindrecord(data_home, features, labels, weight_np=None, training=True):
     """
-    convert imdb dataset to mindrecoed dataset
+    convert imdb dataset to mindrecord dataset
     """
     if weight_np is not None:
         np.savetxt(os.path.join(data_home, 'weight.txt'), weight_np)
@@ -76,7 +76,7 @@ def _convert_to_mindrecord(data_home, features, labels, weight_np=None, training
 
 def convert_to_mindrecord(embed_size, aclimdb_path, preprocess_path, glove_path):
     """
-    convert imdb dataset to mindrecoed dataset
+    convert imdb dataset to mindrecord dataset
     """
     parser = ImdbParser(aclimdb_path, glove_path, embed_size)
     parser.parse()

model_zoo/research/cv/ssd_ghostnet/src/dataset.py

@@ -394,7 +394,7 @@ def data_to_mindrecord_byte_image(dataset="coco", is_training=True, prefix="ssd.
 
 def create_ssd_dataset(mindrecord_file, batch_size=32, repeat_num=10, device_num=1, rank=0,
                        is_training=True, num_parallel_workers=4):
-    """Creatr SSD dataset with MindDataset."""
+    """Create SSD dataset with MindDataset."""
     ds = de.MindDataset(mindrecord_file, columns_list=["img_id", "image", "annotation"], num_shards=device_num,
                         shard_id=rank, num_parallel_workers=num_parallel_workers, shuffle=is_training)
     decode = C.Decode()

tests/st/model_zoo_tests/yolov3/src/dataset.py

@@ -294,7 +294,7 @@ def data_to_mindrecord_byte_image(image_dir, anno_path, mindrecord_dir, prefix="
 
 def create_yolo_dataset(mindrecord_dir, batch_size=32, repeat_num=10, device_num=1, rank=0,
                         is_training=True, num_parallel_workers=8):
-    """Creatr YOLOv3 dataset with MindDataset."""
+    """Create YOLOv3 dataset with MindDataset."""
     ds = de.MindDataset(mindrecord_dir, columns_list=["image", "annotation"], num_shards=device_num, shard_id=rank,
                         num_parallel_workers=num_parallel_workers, shuffle=False)
     decode = C.Decode()