删除了一些冗余文档

docs/source/fastNLP.models.char_language_model.rst

@@ -1,7 +0,0 @@
-fastNLP.models.char\_language\_model module
-===========================================
-
-.. automodule:: fastNLP.models.char_language_model
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/source/fastNLP.models.rst

@@ -14,7 +14,6 @@ Submodules
    fastNLP.models.base_model
    fastNLP.models.bert
    fastNLP.models.biaffine_parser
-   fastNLP.models.char_language_model
    fastNLP.models.cnn_text_classification
    fastNLP.models.enas_controller
    fastNLP.models.enas_model

docs/source/fastNLP.modules.dropout.rst

@@ -1,7 +0,0 @@
-fastNLP.modules.dropout module
-==============================
-
-.. automodule:: fastNLP.modules.dropout
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/source/fastNLP.modules.encoder.linear.rst

@@ -1,7 +0,0 @@
-fastNLP.modules.encoder.linear module
-=====================================
-
-.. automodule:: fastNLP.modules.encoder.linear
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/source/fastNLP.modules.encoder.rst

@@ -15,7 +15,6 @@ Submodules
    fastNLP.modules.encoder.char_encoder
    fastNLP.modules.encoder.conv_maxpool
    fastNLP.modules.encoder.embedding
-   fastNLP.modules.encoder.linear
    fastNLP.modules.encoder.lstm
    fastNLP.modules.encoder.star_transformer
    fastNLP.modules.encoder.transformer

docs/source/fastNLP.modules.other_modules.rst

@@ -1,7 +0,0 @@
-fastNLP.modules.other\_modules module
-=====================================
-
-.. automodule:: fastNLP.modules.other_modules
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/source/fastNLP.modules.utils.rst

@@ -1,7 +0,0 @@
-fastNLP.modules.utils module
-============================
-
-.. automodule:: fastNLP.modules.utils
-    :members:
-    :undoc-members:
-    :show-inheritance:

fastNLP/core/callback.py

@@ -293,7 +293,8 @@ class CallbackManager(Callback):
 
 
 class GradientClipCallback(Callback):
-    """每次backward前，将parameter的gradient clip到某个范围。
+    """
+    每次backward前，将parameter的gradient clip到某个范围。
 
     :param None,torch.Tensor,List[torch.Tensor] parameters: 一般通过model.parameters()获得。如果为None则默认对Trainer
         的model中所有参数进行clip
@@ -304,6 +305,7 @@ class GradientClipCallback(Callback):
         
             2 'value', 将gradient限制在[-clip_value, clip_value], 小于-clip_value的gradient被赋值为-clip_value;
             大于clip_value的gradient被赋值为clip_value.
+
     """
     
     def __init__(self, parameters=None, clip_value=1, clip_type='norm'):