diff --git a/mindspore/nn/probability/dpn/vae/cvae.py b/mindspore/nn/probability/dpn/vae/cvae.py
index 4996a1b7ef..ee44326c0c 100644
--- a/mindspore/nn/probability/dpn/vae/cvae.py
+++ b/mindspore/nn/probability/dpn/vae/cvae.py
@@ -43,7 +43,7 @@ class ConditionalVAE(Cell):
 
     Inputs:
         - **input_x** (Tensor) - The shape of input tensor is :math:`(N, C, H, W)`, which is the same as the input of
-        encoder.
+          encoder.
 
         - **input_y** (Tensor) - The tensor of the target data, the shape is :math:`(N,)`.
 
diff --git a/mindspore/nn/probability/dpn/vae/vae.py b/mindspore/nn/probability/dpn/vae/vae.py
index 2993233f09..8fb7255657 100644
--- a/mindspore/nn/probability/dpn/vae/vae.py
+++ b/mindspore/nn/probability/dpn/vae/vae.py
@@ -40,7 +40,7 @@ class VAE(Cell):
 
     Inputs:
         - **input** (Tensor) - The shape of input tensor is :math:`(N, C, H, W)`, which is the same as the input of
-        encoder.
+          encoder.
 
     Outputs:
         - **output** (Tuple) - (recon_x(Tensor), x(Tensor), mu(Tensor), std(Tensor)).