changing default value of single-loop flag

mindspore/ccsrc/frontend/parallel/costmodel_context.h

@@ -46,7 +46,7 @@ namespace parallel {
 #define DEFAULT_TRIANGLE_STAR_STRATEGY_OVERWRITE true;
 #define DEFAULT_DP_ALGO_ENABLE_APPROX false
 #define DEFAULT_DP_ALGO_APPROX_EPSILON 0.1
-#define DEFAULT_DP_ALGO_SINGLE_LOOP true
+#define DEFAULT_DP_ALGO_SINGLE_LOOP false
 
 class CostModelContext {
  public:

tests/ut/python/parallel/test_auto_parallel_for_loop.py

@@ -22,6 +22,7 @@ from mindspore.ops import operations as P, functional as F
 from mindspore.common.initializer import initializer
 import mindspore.common.dtype as mstype
 from mindspore.common.api import _cell_graph_executor
+from mindspore.parallel._cost_model_context import _set_algo_single_loop
 from tests.dataset_mock import MindData
 
 
@@ -119,6 +120,7 @@ _w1 = Tensor(np.ones([512, 128]), dtype=ms.float32)
 
 def test_auto_parallel():
     context.set_auto_parallel_context(parallel_mode="auto_parallel", device_num=16, global_rank=0)
+    _set_algo_single_loop(True)
     net = Full(_w1, 3)
     net.set_auto_parallel()
     net.set_train()

tests/ut/python/parallel/test_auto_parallel_for_loop_multi_subgraph.py

@@ -25,6 +25,7 @@ from mindspore.ops import functional as F
 from mindspore.ops import operations as P
 from mindspore.parallel._cost_model_context import _set_multi_subgraphs
 from mindspore.parallel._utils import _reset_op_id as reset_op_id
+from mindspore.parallel._cost_model_context import _set_algo_single_loop
 
 
 class SubNet(nn.Cell):
@@ -122,6 +123,7 @@ class TrainStepWarp(nn.Cell):
 
 def test_double_subgraphs():
     context.set_auto_parallel_context(parallel_mode="auto_parallel", device_num=8, global_rank=0)
+    _set_algo_single_loop(True)
     net = TrainStepWarp(NetWithLoss(Net()))
     _set_multi_subgraphs()
     net.set_auto_parallel()

tests/ut/python/parallel/test_auto_parallel_for_loop_reshape.py

@@ -22,6 +22,7 @@ from mindspore.ops import operations as P, functional as F
 from mindspore.common.initializer import initializer
 import mindspore.common.dtype as mstype
 from mindspore.common.api import _cell_graph_executor
+from mindspore.parallel._cost_model_context import _set_algo_single_loop
 from tests.dataset_mock import MindData
 
 
@@ -126,6 +127,7 @@ _w1 = Tensor(np.ones([512, 128, 1]), dtype=ms.float32)
 
 def test_auto_parallel():
     context.set_auto_parallel_context(parallel_mode="auto_parallel", device_num=16, global_rank=0)
+    _set_algo_single_loop(True)
     net = Full(_w1, 3)
     net.set_auto_parallel()
     net.set_train()

tests/ut/python/parallel/test_auto_parallel_two_matmul.py

@@ -122,7 +122,7 @@ def test_two_matmul():
     algo_epsilon = get_algo_parameters("algo_approxi_epsilon")
     assert algo_epsilon == 0.001
 
-    expecte_single_loop = True
+    expecte_single_loop = False
     signle_loop = _get_algo_single_loop()
     assert expecte_single_loop == signle_loop
     expecte_single_loop = False