fix function description for SummaryCollector and SummaryRecord

mindspore/train/_utils.py

@@ -88,7 +88,10 @@ def _make_directory(path: str):
     else:
         logger.debug("The directory(%s) doesn't exist, will create it", path)
         try:
-            os.makedirs(path, exist_ok=True, mode=0o700)
+            permissions = os.R_OK | os.W_OK | os.X_OK
+            os.umask(permissions << 3 | permissions)
+            mode = permissions << 6
+            os.makedirs(path, mode=mode, exist_ok=True)
             real_path = path
         except PermissionError as e:
             logger.error("No write permission on the directory(%r), error = %r", path, e)

mindspore/train/callback/_summary_collector.py

@@ -130,13 +130,15 @@ class SummaryCollector(Callback):
             Default: None, which means no limit. For example, to write not larger than 4GB,
             specify `max_file_size=4 * 1024**3`.
         export_options (Union[None, dict]): Perform custom operations on the export data.
-            Default: None, it means there is no export data.
+            Default: None, it means that the data is not exported.
             Note that the size of export files is not limited by the max_file_size.
             You can customize the export data with a dictionary. For example, you can set {'tensor_format': 'npy'}
             to export tensor as npy file. The data that supports control is shown below.
 
-            - tensor_format (Union[str, None]): Customize the export tensor format.
-              Default: None, it means there is no export tensor.
+            - tensor_format (Union[str, None]): Customize the export tensor format. Supports ["npy", None].
+              Default: None, it means that the tensor is not exported.
+
+                - npy: export tensor as npy file.
 
     Raises:
         ValueError: If the parameter value is not expected.

mindspore/train/summary/summary_record.py

@@ -36,7 +36,7 @@ _summary_lock = threading.Lock()
 # cache the summary data
 _summary_tensor_cache = {}
 _DEFAULT_EXPORT_OPTIONS = {
-    'tensor_format': {'npy'},
+    'tensor_format': {'npy', None},
 }
 
 
@@ -70,7 +70,7 @@ def process_export_options(export_options):
 
     for export_option, export_format in export_options.items():
         check_value_type('export_option', export_option, [str])
-        check_value_type('export_format', export_format, [str])
+        check_value_type('export_format', export_format, [str, type(None)])
 
     unexpected_params = set(export_options) - set(_DEFAULT_EXPORT_OPTIONS)
     if unexpected_params:
@@ -115,13 +115,15 @@ class SummaryRecord:
         raise_exception (bool, optional): Sets whether to throw an exception when a RuntimeError or OSError exception
             occurs in recording data. Default: False, this means that error logs are printed and no exception is thrown.
         export_options (Union[None, dict]): Perform custom operations on the export data.
-            Default: None, it means there is no export data.
+            Default: None, it means that the data is not exported.
             Note that the size of export files is not limited by the max_file_size.
             You can customize the export data with a dictionary. For example, you can set {'tensor_format': 'npy'}
             to export tensor as npy file. The data that supports control is shown below.
 
-            - tensor_format (Union[str, None]): Customize the export tensor format.
-              Default: None, it means there is no export tensor.
+            - tensor_format (Union[str, None]): Customize the export tensor format. Supports ["npy", None].
+              Default: None, it means that the tensor is not exported.
+
+                - npy: export tensor as npy file.
 
     Raises:
         TypeError: If the parameter type is incorrect.