From 4a8e972c52dcbf09d9f60a0d01a5619d61cc59a1 Mon Sep 17 00:00:00 2001
From: zhangyi <zhany2020@outlook.com>
Date: Thu, 27 Aug 2020 20:36:18 +0800
Subject: [PATCH] fix api param's issue.

---
 .../api/python/mindspore/mindspore.nn.probability.rst      | 7 +++++++
 .../api/python/mindspore/mindspore.nn.probability.rst      | 7 +++++++
 2 files changed, 14 insertions(+)

diff --git a/api/source_en/api/python/mindspore/mindspore.nn.probability.rst b/api/source_en/api/python/mindspore/mindspore.nn.probability.rst
index 9ed8e369..2235f574 100644
--- a/api/source_en/api/python/mindspore/mindspore.nn.probability.rst
+++ b/api/source_en/api/python/mindspore/mindspore.nn.probability.rst
@@ -12,7 +12,14 @@ mindspore.nn.probability.bnn_layers
 
 .. automodule:: mindspore.nn.probability.bnn_layers
     :members:
+    :exclude-members: ConvReparam , DenseReparam
     
+    .. autoclass:: ConvReparam(in_channels, out_channels, kernel_size,stride=1, pad_mode='same', padding=0, dilation=1, group=1, has_bias=False, weight_prior_fn=NormalPrior, weight_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>, bias_prior_fn=NormalPrior, bias_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>)
+        :members:
+    
+    .. autoclass:: DenseReparam(in_channels, out_channels, activation=None, has_bias=True, weight_prior_fn=NormalPrior, weight_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>, bias_prior_fn=NormalPrior, bias_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>)
+        :members:
+            
     .. autoclass:: WithBNNLossCell
         :members:
     
diff --git a/api/source_zh_cn/api/python/mindspore/mindspore.nn.probability.rst b/api/source_zh_cn/api/python/mindspore/mindspore.nn.probability.rst
index 729903df..70e8f69b 100644
--- a/api/source_zh_cn/api/python/mindspore/mindspore.nn.probability.rst
+++ b/api/source_zh_cn/api/python/mindspore/mindspore.nn.probability.rst
@@ -12,7 +12,14 @@ mindspore.nn.probability.bnn_layers
 
 .. automodule:: mindspore.nn.probability.bnn_layers
     :members:
+    :exclude-members: ConvReparam , DenseReparam
     
+    .. autoclass:: ConvReparam(in_channels, out_channels, kernel_size,stride=1, pad_mode='same', padding=0, dilation=1, group=1, has_bias=False, weight_prior_fn=NormalPrior, weight_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>, bias_prior_fn=NormalPrior, bias_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>)
+        :members:
+    
+    .. autoclass:: DenseReparam(in_channels, out_channels, activation=None, has_bias=True, weight_prior_fn=NormalPrior, weight_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>, bias_prior_fn=NormalPrior, bias_posterior_fn=<lambda name, shape: NormalPosterior(name=name, shape=shape)>)
+        :members:
+        
     .. autoclass:: WithBNNLossCell    
         :members:
     
-- 
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