python/pytorch: Create classifier model training example

Signed-off-by: Soham Manoli <[email protected]>

python/aistore/pytorch/iter_dataset.py

@@ -57,5 +57,4 @@ def __iter__(self):
                 disable=not self._show_progress,
                 force_tty=False,
             ):
-                # Update each object to use WorkerRequestSession for multithreading support
                 yield obj.name, obj.get(etl_name=self._etl_name).read_all()

python/aistore/sdk/bucket.py

@@ -760,7 +760,7 @@ def put_files(
         Args:
             path (str): Local filepath, can be relative or absolute
             prefix_filter (str, optional): Only put files with names starting with this prefix
-            pattern (str, optional): Regex pattern to filter files
+            pattern (str, optional): Shell-style wildcard pattern to filter files
             basename (bool, optional): Whether to use the file names only as object names and omit the path information
             prepend (str, optional): Optional string to use as a prefix in the object name for all objects uploaded
                 No delimiter ("/", "-", etc.) is automatically applied between the prepend value and the object name