minddata use new ps api

mindspore/dataset/engine/datasets.py

@@ -37,6 +37,7 @@ from mindspore._c_dataengine import DataType, TFReaderOp, ImageFolderOp, CifarOp
 from mindspore._c_expression import typing
 
 from mindspore import log as logger
+from mindspore.parallel._ps_context import _is_role_pserver, _is_role_sched
 
 import mindspore.dataset.transforms.py_transforms as py_transforms
 
@@ -152,10 +153,9 @@ class Dataset:
         self._num_classes = None
         self._repeat_count = None
         self._sync = False
-        self.ms_role = os.getenv("MS_ROLE")
 
     def _noop_mode(self):
-        if self.ms_role in ("MS_PSERVER", "MS_SCHED"):
+        if _is_role_sched() or _is_role_pserver():
             return True
         return False
 
@@ -2146,7 +2146,6 @@ class MapDataset(DatasetOp):
         new_op.column_order = copy.deepcopy(self.column_order, memodict)
         new_op.num_parallel_workers = copy.deepcopy(self.num_parallel_workers, memodict)
         new_op.parent = copy.deepcopy(self.parent, memodict)
-        new_op.ms_role = copy.deepcopy(self.ms_role, memodict)
         new_op.input_indexs = copy.deepcopy(self._input_indexs, memodict)
         new_op.python_multiprocessing = copy.deepcopy(self.python_multiprocessing, memodict)
         new_op.cache = copy.deepcopy(self.cache, memodict)
@@ -3622,7 +3621,6 @@ class GeneratorDataset(MappableDataset):
         memodict[id(self)] = new_op
         new_op.children = copy.deepcopy(self.children, memodict)
         new_op.parent = copy.deepcopy(self.parent, memodict)
-        new_op.ms_role = copy.deepcopy(self.ms_role, memodict)
         new_op.num_parallel_workers = copy.deepcopy(self.num_parallel_workers, memodict)
         new_op.column_types = copy.deepcopy(self.column_types, memodict)
         new_op.column_names = copy.deepcopy(self.column_names, memodict)

tests/ut/python/dataset/test_noop_mode.py

@@ -17,27 +17,32 @@ Test No-op mode support with Dummy Iterator
 """
 import os
 import mindspore.dataset as ds
+from mindspore import context
 
 DATA_DIR = "../data/dataset/testVOC2012"
 
 def test_noop_pserver():
     os.environ['MS_ROLE'] = 'MS_PSERVER'
+    context.set_ps_context(enable_ps=True)
     data1 = ds.VOCDataset(DATA_DIR, task="Segmentation", usage="train", shuffle=False, decode=True)
     num = 0
     for _ in data1.create_dict_iterator(num_epochs=1):
         num += 1
     assert num == 0
     del os.environ['MS_ROLE']
+    context.set_ps_context(enable_ps=False)
 
 
 def test_noop_sched():
     os.environ['MS_ROLE'] = 'MS_SCHED'
+    context.set_ps_context(enable_ps=True)
     data1 = ds.VOCDataset(DATA_DIR, task="Segmentation", usage="train", shuffle=False, decode=True)
     num = 0
     for _ in data1.create_dict_iterator(num_epochs=1):
         num += 1
     assert num == 0
     del os.environ['MS_ROLE']
+    context.set_ps_context(enable_ps=False)
 
 
 if __name__ == '__main__':