diff --git a/MindFlow/mindflow/cell/neural_operators/fno1d.py b/MindFlow/mindflow/cell/neural_operators/fno1d.py
index 890308a014ce0f44df1d1eec63e6f7eee7dc413b..6b7246ea487ec5de3ad3c05eb3064fc5ea6e4351 100644
--- a/MindFlow/mindflow/cell/neural_operators/fno1d.py
+++ b/MindFlow/mindflow/cell/neural_operators/fno1d.py
@@ -98,7 +98,7 @@ class FNO1D(nn.Cell):
         mlp_ratio (int): The number of channels lifting ratio of the decoder layer. Default: 4.
         compute_dtype (dtype.Number): The computation type of dense. Default mstype.float16.
         Should be mstype.float32 or mstype.float16. mstype.float32 is recommended for
-        the GPU backend, mstype.float16 is recommended for the Ascend backend.
+            the GPU backend, mstype.float16 is recommended for the Ascend backend.
 
     Inputs:
         - **x** (Tensor) - Tensor of shape :math:`(batch\_size, resolution, input\_dims)`.
diff --git a/MindFlow/mindflow/common/metrics.py b/MindFlow/mindflow/common/metrics.py
index f6a7915c3179f7e54f0fa4baddc3033905be94cf..ed58ad20323b175a251471d738a21060ca88c321 100644
--- a/MindFlow/mindflow/common/metrics.py
+++ b/MindFlow/mindflow/common/metrics.py
@@ -69,8 +69,8 @@ class L2(nn.Metric):
 
         Args:
             inputs (Union[Tensor, list, numpy.array]): `y_pred` and `y` can be retrieved from `input`. `y_pred` is
-            the predicted value while `y` the ground truth value.
-            They are used for calculating L2 where the shape of them are the same.
+                the predicted value while `y` the ground truth value.
+                They are used for calculating L2 where the shape of them are the same.
 
         Raises:
             ValueError: if the length of inputs is not 2.
diff --git a/docs/api_python/mindflow/mindflow.geometry.PartSamplingConfig.rst b/docs/api_python/mindflow/mindflow.geometry.PartSamplingConfig.rst
index 282c6dca03fa11e0dc76e77c4521b383ff500bc1..469a67be413b910a881db120a895fff23de2e970 100644
--- a/docs/api_python/mindflow/mindflow.geometry.PartSamplingConfig.rst
+++ b/docs/api_python/mindflow/mindflow.geometry.PartSamplingConfig.rst
@@ -8,7 +8,7 @@
         - **sampler** (str) - 随机采样的方法。默认值：uniform。
         - **random_merge** (bool) - 是否随机合并不同维度的坐标。默认值：True。
         - **with_normal** (bool) - 是否生成边界的法向向量。默认值：False。
-        - **with_sdf** (bool)- 是否返回域内点的符号距离函数结果。默认值：False。
+        - **with_sdf** (bool) - 是否返回域内点的符号距离函数结果。默认值：False。
 
     异常：
         - **TypeError** - 采样点数不为int时。
diff --git a/docs/api_python/mindflow/mindflow.geometry.Rectangle.rst b/docs/api_python/mindflow/mindflow.geometry.Rectangle.rst
index 58e6e5ab7a2a3cf41847bcc6f4aef335a31866e0..9346da373a0bb1096637e8f0da095cfaf0cd6e23 100644
--- a/docs/api_python/mindflow/mindflow.geometry.Rectangle.rst
+++ b/docs/api_python/mindflow/mindflow.geometry.Rectangle.rst
@@ -1,4 +1,4 @@
-.. py:class:: mindflow.geometry.Rectangle(name, coord_min, coord_max, dtype=<class 'numpy.float32'>, sampling_config=None)
+.. py:class:: mindflow.geometry.Rectangle(name, coord_min, coord_max, dtype=np.float32, sampling_config=None)
 
     矩形对象的定义。