fix some log errors

mindspore/ccsrc/minddata/dataset/engine/datasetops/source/text_file_op.cc

@@ -58,7 +58,7 @@ Status TextFileOp::Builder::Build(std::shared_ptr<TextFileOp> *op) {
   // Throttle the number of workers if we have more workers than files!
   if (static_cast<size_t>(builder_num_workers_) > builder_text_files_list_.size()) {
     builder_num_workers_ = builder_text_files_list_.size();
-    MS_LOG(WARNING) << "TextFileOp operator parallelism reduced to " << builder_num_workers_ << " workers.";
+    MS_LOG(DEBUG) << "TextFileOp operator parallelism reduced to " << builder_num_workers_ << " workers.";
   }
 
   builder_schema_ = std::make_unique<DataSchema>();

mindspore/dataset/engine/datasets.py

@@ -253,8 +253,8 @@ class Dataset:
         If a per_batch_map callable is provided, it will be applied to the batches of tensors.
 
         Note:
-            The order of using repeat and batch reflects the number of batches. Recommend that
-            repeat operation should be used after batch operation.
+            The order of using repeat and batch reflects the number of batches and per_batch_map.
+            Recommend that repeat operation should be used after batch operation.
 
         Args:
             batch_size (int or function): The number of rows each batch is created with. An