Fix test_yolov3 Random Failure (#32496)

Reduce max iter size to fix windows openblas test_yolov3 random failure.
Decrease batch size to fix pe related unittest random failure.

python/paddle/fluid/tests/unittests/dygraph_to_static/yolov3.py

@@ -97,7 +97,7 @@ cfg.batch_size = 1 if sys.platform == 'darwin' or os.name == 'nt' else 4
 # derived learning rate the to get the final learning rate.
 cfg.learning_rate = 0.001
 # maximum number of iterations
-cfg.max_iter = 20 if fluid.is_compiled_with_cuda() else 2
+cfg.max_iter = 20 if fluid.is_compiled_with_cuda() else 1
 # Disable mixup in last N iter
 cfg.no_mixup_iter = 10 if fluid.is_compiled_with_cuda() else 1
 # warm up to learning rate 

python/paddle/fluid/tests/unittests/seresnext_net.py

@@ -173,7 +173,7 @@ model = SE_ResNeXt50Small
 def batch_size(use_device):
     if use_device == DeviceType.CUDA:
         # Paddle uses 8GB P4 GPU for unittest so we decreased the batch size.
-        return 8
+        return 4
     return 12
 
 

python/paddle/fluid/tests/unittests/test_parallel_executor_crf.py

@@ -159,7 +159,7 @@ class TestCRFModel(unittest.TestCase):
                 train_data = paddle.batch(
                     paddle.reader.shuffle(
                         paddle.dataset.conll05.test(), buf_size=8192),
-                    batch_size=16)
+                    batch_size=8)
 
                 place = fluid.CUDAPlace(0) if use_cuda else fluid.CPUPlace()
                 exe = fluid.Executor(place)