fix boardcasting superlink

paddle/fluid/operators/controlflow/bitwise_op.cc

@@ -48,7 +48,9 @@ It operates ``%s`` on Tensor ``X`` and ``Y`` .
         %s
 
 .. note::
-    ``paddle.%s`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting`.
+    ``paddle.%s`` supports broadcasting. If you want know more about broadcasting, please refer to please refer to `Introduction to Tensor`_ .
+
+    .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor.
 )DOC",
                                comment.type,
                                comment.equation,

python/paddle/distribution/uniform.py

@@ -54,7 +54,12 @@ class Uniform(distribution.Distribution):
     * :math:`Z`: is the normalizing constant.
 
     The parameters `low` and `high` must be shaped in a way that supports
-    :ref:`user_guide_broadcasting` (e.g., `high - low` is a valid operation).
+    Boardcasting` (e.g., `high - low` is a valid operation).
+
+    Note:
+        If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         low(int|float|list|tuple|numpy.ndarray|Tensor): The lower boundary of

python/paddle/tensor/creation.py

@@ -2005,8 +2005,10 @@ def complex(real, imag, name=None):
     Returns:
         Tensor: The output tensor. The data type is 'complex64' or 'complex128', with the same precision as ``real`` and ``imag``.
 
-    **Note**:
-        ``paddle.complex`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+    Note:
+        ``paddle.complex`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Examples:
         .. code-block:: python

python/paddle/tensor/logic.py

@@ -96,7 +96,9 @@ def logical_and(x, y, out=None, name=None):
         out = x \&\& y
 
     Note:
-        ``paddle.logical_and`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting`.
+        ``paddle.logical_and`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be one of bool, int8, int16, in32, in64, float32, float64.
@@ -136,7 +138,9 @@ def logical_or(x, y, out=None, name=None):
         out = x || y
 
     Note:
-        ``paddle.logical_or`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting`.
+        ``paddle.logical_or`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be one of bool, int8, int16, in32, in64, float32, float64.
@@ -178,7 +182,9 @@ def logical_xor(x, y, out=None, name=None):
         out = (x || y) \&\& !(x \&\& y)
 
     Note:
-        ``paddle.logical_xor`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting`.
+        ``paddle.logical_xor`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be one of bool, int8, int16, in32, in64, float32, float64.

python/paddle/tensor/math.py

@@ -420,7 +420,9 @@ def pow(x, y, name=None):
         out = x^{y}
 
     Note:
-        ``paddle.pow`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+        ``paddle.pow`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensors
 
 
     Args:
@@ -679,7 +681,9 @@ def subtract(x, y, name=None):
         out = x - y
 
     Note:
-        ``paddle.subtract`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+        ``paddle.subtract`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be float32, float64, int32, int64.
@@ -773,7 +777,9 @@ def divide(x, y, name=None):
         out = x / y
 
     Note:
-        ``paddle.divide`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+        ``paddle.divide`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be float32, float64, int32, int64.
@@ -817,7 +823,9 @@ def floor_divide(x, y, name=None):
         out = trunc(x / y)
 
     Note:
-        ``paddle.floor_divide`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+        ``paddle.floor_divide`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
         Also note that the name ``floor_divide`` can be misleading, as the quotinents are actually rounded toward zero, not toward negative infinite.
 
     Args:
@@ -859,7 +867,9 @@ def remainder(x, y, name=None):
         out = x \% y
 
     Note:
-        ``paddle.remainder`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+        ``paddle.remainder`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be float16, float32, float64, int32, int64.
@@ -924,7 +934,9 @@ def multiply(x, y, name=None):
         out = x * y
 
     Note:
-        ``paddle.multiply`` supports broadcasting. If you would like to know more about broadcasting, please refer to :ref:`user_guide_broadcasting`.
+        ``paddle.multiply`` supports broadcasting. If you would like to know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, its data type should be one of float32, float64, int32, int64, bool.
@@ -980,7 +992,9 @@ def maximum(x, y, name=None):
         out = max(x, y)
 
     Note:
-        ``paddle.maximum`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+        ``paddle.maximum`` supports broadcasting. If you want know more about broadcasting, please refer to  `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be float32, float64, int32, int64.
@@ -1046,7 +1060,9 @@ def minimum(x, y, name=None):
         out = min(x, y)
 
     Note:
-        ``paddle.minimum`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+        ``paddle.minimum`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be float32, float64, int32, int64.
@@ -1114,7 +1130,9 @@ def fmax(x, y, name=None):
         out = fmax(x, y)
 
     Note:
-        ``paddle.fmax`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+        ``paddle.fmax`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be float16, float32, float64, int32, int64.
@@ -1182,7 +1200,9 @@ def fmin(x, y, name=None):
         out = fmin(x, y)
 
     Note:
-        ``paddle.fmin`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+        ``paddle.fmin`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): the input tensor, it's data type should be float16, float32, float64, int32, int64.
@@ -3962,7 +3982,12 @@ def any(x, axis=None, keepdim=False, name=None):
 
 def broadcast_shape(x_shape, y_shape):
     """
-    The function returns the shape of doing operation with broadcasting on tensors of x_shape and y_shape, please refer to :ref:`user_guide_broadcasting` for more details.
+    The function returns the shape of doing operation with broadcasting on tensors of x_shape and y_shape, please refer to boardcasting for more details.
+
+    Note:
+        If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x_shape (list[int]|tuple[int]): A shape of tensor.
@@ -4991,7 +5016,9 @@ def heaviside(x, y, name=None):
             \right.
 
     Note:
-        ``paddle.heaviside`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting`.
+        ``paddle.heaviside`` supports broadcasting. If you want know more about broadcasting, please refer to `Introduction to Tensor`_ .
+
+        .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
         x (Tensor): The input tensor of Heaviside step function, it's data type should be float16, float32, float64, int32 or int64.