diff --git a/mindspore/common/tensor.py b/mindspore/common/tensor.py
index 4bf629e805..2553078688 100644
--- a/mindspore/common/tensor.py
+++ b/mindspore/common/tensor.py
@@ -43,7 +43,7 @@ class Tensor(Tensor_):
             output tensor will be as same as the `input_data`. Default: None.
         shape (Union[tuple, list, int]): A list of integers, a tuple of integers or an integer as the shape of
             output. Default: None.
-        init (class:'Initializer'): the information of init data.
+        init (:class:`Initializer`): the information of init data.
             'init' is used for delayed initialization in parallel mode. Usually, it is not recommended to
             use 'init' interface to initialize parameters in other conditions. If 'init' interface is used
             to initialize parameters, the `init_data` API need to be called to convert `Tensor` to the actual data.
diff --git a/mindspore/log.py b/mindspore/log.py
index cd88fc21de..b9ecfd33a6 100644
--- a/mindspore/log.py
+++ b/mindspore/log.py
@@ -90,7 +90,7 @@ class _MultiCompatibleRotatingFileHandler(RotatingFileHandler):
             self.stream.close()
             self.stream = None
 
-        # Attain an exclusive lock with bloking mode by `fcntl` module.
+        # Attain an exclusive lock with blocking mode by `fcntl` module.
         with open(self.baseFilename, 'a') as file_pointer:
             if platform.system() != "Windows":
                 fcntl.lockf(file_pointer.fileno(), fcntl.LOCK_EX)
@@ -367,7 +367,7 @@ def get_log_config():
         >>> import os
         >>> os.environ['GLOG_v'] = '1'
         >>> os.environ['GLOG_logtostderr'] = '0'
-        >>> os.environ['GLOG_log_dir'] = '/var/log/mindspore'
+        >>> os.environ['GLOG_log_dir'] = '/var/log'
         >>> os.environ['logger_maxBytes'] = '5242880'
         >>> os.environ['logger_backupCount'] = '10'
         >>> from mindspore import log as logger
@@ -430,13 +430,13 @@ def _find_caller(stack_info=False, stacklevel=1):
 
 def _get_stack_info(frame):
     """
-    Get the stack informations.
+    Get the stack information.
 
     Args:
-        frame(frame): the frame requiring informations.
+        frame(frame): the frame requiring information.
 
     Returns:
-        str, the string of the stack informations.
+        str, the string of the stack information.
     """
     sinfo = None
     stack_prefix = 'Stack (most recent call last):\n'
diff --git a/mindspore/train/dataset_helper.py b/mindspore/train/dataset_helper.py
index 52ee7763f5..d38eda2468 100644
--- a/mindspore/train/dataset_helper.py
+++ b/mindspore/train/dataset_helper.py
@@ -125,8 +125,8 @@ def connect_network_with_dataset(network, dataset_helper):
 
         return network
 
-    if not hasattr(dataset, '__me_inited__') and (context.get_context("device_target") == "Ascend" or \
-            context.get_context("device_target") == "GPU") and not context.get_context("enable_ge"):
+    if not hasattr(dataset, '__me_inited__') and context.get_context("device_target") in ("Ascend", "GPU")\
+        and not context.get_context("enable_ge"):
         dataset.__me_inited__ = True
 
         dataset_types, dataset_shapes = dataset_helper.types_shapes()
diff --git a/mindspore/train/model.py b/mindspore/train/model.py
index 8d4cab2e52..3bb1077363 100755
--- a/mindspore/train/model.py
+++ b/mindspore/train/model.py
@@ -812,6 +812,7 @@ class Model:
             >>> import numpy as np
             >>> import mindspore as ms
             >>> from mindspore import Model, context, Tensor
+            >>> from mindspore.context import ParallelMode
             >>>
             >>> context.set_context(mode=context.GRAPH_MODE)
             >>> context.set_auto_parallel_context(full_batch=True, parallel_mode=ParallelMode.SEMI_AUTO_PARALLEL)