fix api param's issue.

api/source_en/api/python/mindspore/mindspore.nn.probability.rst

@@ -12,6 +12,13 @@ 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:

api/source_zh_cn/api/python/mindspore/mindspore.nn.probability.rst

@@ -12,6 +12,13 @@ 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: