diff --git a/mindspore/lite/micro/example/mnist_stm32f746/mnist/benchmark/load_input.c b/mindspore/lite/micro/example/mnist_stm32f746/mnist/benchmark/load_input.c
old mode 100755
new mode 100644
diff --git a/mindspore/lite/micro/example/mnist_stm32f746/mnist/benchmark/load_input.h b/mindspore/lite/micro/example/mnist_stm32f746/mnist/benchmark/load_input.h
old mode 100755
new mode 100644
diff --git a/tests/st/networks/models/resnet50/src_thor/dataset.py b/tests/st/networks/models/resnet50/src_thor/dataset.py
index 69524c42b1..3d3bb7a84b 100644
--- a/tests/st/networks/models/resnet50/src_thor/dataset.py
+++ b/tests/st/networks/models/resnet50/src_thor/dataset.py
@@ -72,8 +72,8 @@ def create_dataset(dataset_path, do_train, repeat_num=1, batch_size=32):
 
     type_cast_op = C2.TypeCast(mstype.int32)
 
-    data_set = data_set.map(operations=trans, input_columns="image", num_parallel_workers=8)
-    data_set = data_set.map(operations=type_cast_op, input_columns="label", num_parallel_workers=8)
+    data_set = data_set.map(operations=trans, input_columns="image", num_parallel_workers=16)
+    data_set = data_set.map(operations=type_cast_op, input_columns="label", num_parallel_workers=16)
 
     # apply batch operations
     data_set = data_set.batch(batch_size, drop_remainder=True)