[cherry-pick] update multi_dot exposure rules (#36018) (#36131)

根据线性代数库的API暴露规则修改multi_dot的API暴露规则：
1、在python/paddle/tensor/linalg.py 路径下实现
2、在python/paddle/linalg.py 下import并加入__all__列表
3、在python/paddle/tensor/init.py下引入并加入tensor_method_func列表
4、删除了pythonpaddle/init.py的import

python/paddle/tensor/__init__.py

@@ -387,6 +387,7 @@ tensor_method_func  = [ #noqa
            'bitwise_not',
            'broadcast_tensors',
            'uniform_',
+           'multi_dot',
            'solve',
 ]
 

python/paddle/tensor/linalg.py

@@ -975,8 +975,8 @@ def t(input, name=None):
         return out
 
     check_variable_and_dtype(
-        input, 'input', ['float16', 'float32', 'float64', 'int32', 'int64'],
-        'transpose')
+        input, 'input', ['float16', 'float32', 'float64', 'int32',
+                         'int64'], 'transpose')
 
     helper = LayerHelper('t', **locals())
     out = helper.create_variable_for_type_inference(input.dtype)
@@ -1360,7 +1360,7 @@ def det(x, name=None):
     Returns:
         y (Tensor):the determinant value of a square matrix or batches of square matrices.
 
-    Example: 
+    Examples:
         .. code-block:: python
 
         import paddle
@@ -1415,7 +1415,7 @@ def slogdet(x, name=None):
         y (Tensor): A tensor containing the sign of the determinant and the natural logarithm
         of the absolute value of determinant, respectively.
 
-    Example:
+    Examples:
     .. code-block:: python
 
         import paddle
@@ -1630,8 +1630,8 @@ def eigvals(x, name=None):
     """
 
     check_variable_and_dtype(x, 'dtype',
-                             ['float32', 'float64', 'complex64', 'complex128'],
-                             'eigvals')
+                             ['float32', 'float64', 'complex64',
+                              'complex128'], 'eigvals')
 
     x_shape = list(x.shape)
     if len(x_shape) < 2:
@@ -1657,7 +1657,7 @@ def multi_dot(x, name=None):
     """
     Multi_dot is an operator that calculates multiple matrix multiplications.
 
-    Supports inputs of float, double and float16 dtypes. This function does not
+    Supports inputs of float16(only GPU support), float32 and float64 dtypes. This function does not
     support batched inputs.
 
     The input tensor in [x] must be 2-D except for the first and last can be 1-D.
@@ -1998,8 +1998,8 @@ def pinv(x, rcond=1e-15, hermitian=False, name=None):
             helper = LayerHelper('pinv', **locals())
             dtype = x.dtype
             check_variable_and_dtype(
-                x, 'dtype', ['float32', 'float64', 'complex64', 'complex128'],
-                'pinv')
+                x, 'dtype', ['float32', 'float64', 'complex64',
+                             'complex128'], 'pinv')
 
             if dtype == paddle.complex128:
                 s_type = 'float64'