[Relay] fix pydoc format

python/tvm/relay/ty.py

@@ -31,11 +31,17 @@ class TensorType(Type):
 
     Parameters
     ----------
-    shape: List[tvm.Expr]
+    shape : List[tvm.Expr]
         The shape of the Tensor
 
-    dtype: str, optional
+    dtype : Optional[str]
         The content data type.
+        Default to "float32".
+
+    Returns
+    -------
+    tensor_type : tvm.relay.TensorType
+        The tensor type.
     """
     def __init__(self, shape, dtype="float32"):
         self.__init_handle_by_constructor__(
@@ -57,10 +63,10 @@ class Kind(IntEnum):
 
 @register_relay_node
 class TypeVar(Type):
-    """A type parameter used for generic types in Relay,
+    """A type variable used for generic types in Relay,
     see tvm/relay/type.h for more details.
 
-    A type parameter represents a type placeholder which will
+    A type variable represents a type placeholder which will
     be filled in later on. This allows the user to write
     functions which are generic over types.
     """
@@ -70,16 +76,17 @@ def __init__(self, var, kind=Kind.Type):
 
         Parameters
         ----------
-        var: tvm.expr.Var
+        var : tvm.expr.Var
             The tvm.Var which backs the type parameter.
 
-        kind: Kind, optional
+        kind : Optional[Kind]
             The kind of the type parameter.
+            Default to Kind.Type.
 
         Returns
         -------
-        type_param: TypeVar
-            The type parameter.
+        type_var : tvm.relay.TypeVar
+            The type variable.
         """
         self.__init_handle_by_constructor__(_make.TypeVar, var, kind)
 
@@ -102,11 +109,13 @@ def __init__(self, fields):
 
         Parameters
         ----------
-        fields: List[tvm.relay.Type]
+        fields : List[tvm.relay.Type]
+            The fields in the tuple
 
         Returns
         -------
-        tuple_type: the tuple type
+        tuple_type : tvm.relay.TupleType
+            the tuple type
         """
         self.__init_handle_by_constructor__(_make.TupleType, fields)
 
@@ -125,16 +134,16 @@ class FuncType(Type):
 
     Parameters
     ----------
-    arg_types: List[tvm.relay.Type]
+    arg_types : List[tvm.relay.Type]
         The argument types
 
-    ret_type: tvm.relay.Type
+    ret_type : tvm.relay.Type
         The return type.
 
-    type_params: List[tvm.relay.TypeVar]
+    type_params : Optional[List[tvm.relay.TypeVar]]
         The type parameters
 
-    type_constraints: List[tvm.relay.TypeConstraint]
+    type_constraints : Optional[List[tvm.relay.TypeConstraint]]
         The type constraints.
     """
     def __init__(self,
@@ -163,18 +172,23 @@ class TypeRelation(TypeConstraint):
 
     Parameters
     ----------
-    func: EnvFunc
+    func : EnvFunc
         User defined relation function.
 
-    args: list of types
+    args : [tvm.relay.Type]
         List of types to the func.
 
-    num_inputs: int
+    num_inputs : int
         Number of input arguments in args,
         this act as a hint for type inference.
 
-    attrs: Attrs
+    attrs : Attrs
         The attribute attached to the relation information
+
+    Returns
+    -------
+    type_relation : tvm.relay.TypeRelation
+        The type relation.
     """
     def __init__(self, func, args, num_inputs, attrs):
         self.__init_handle_by_constructor__(_make.TypeRelation,
@@ -188,12 +202,12 @@ def scalar_type(dtype):
 
     Parameters
     ----------
-    dtype: str
+    dtype : str
         The content data type.
 
     Returns
     -------
-    s_type: tvm.relay.TensorType
+    s_type : tvm.relay.TensorType
         The result type.
     """
     return TensorType((), dtype)