[Docathon][Add API Legend No.2]

python/paddle/tensor/manipulation.py

@@ -1538,6 +1538,19 @@ def broadcast_tensors(
 
         .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
+    The following figure illustrates the process of broadcasting three tensors to the same dimensions.
+    The dimensions of the three tensors are [4, 1, 3], [2, 3], and [4, 2, 1], respectively. During broadcasting,
+    alignment starts from the last dimension, and for each dimension, either the sizes of the two tensors in that dimension are equal,
+    or one of the tensors has a dimension of 1, or one of the tensors lacks that dimension. In the figure below, in the last dimension,
+    Tensor3 has a size of 1, while Tensor1 and Tensor2 have sizes of 3; thus, this dimension is expanded to 3 for all tensors.
+    In the second-to-last dimension, Tensor1 has a size of 2, and Tensor2 and Tensor3 both have sizes of 2; hence, this dimension is expanded to 2 for all tensors.
+    In the third-to-last dimension, Tensor2 lacks this dimension, while Tensor1 and Tensor3 have sizes of 4; consequently,
+    this dimension is expanded to 4 for all tensors. Ultimately, all tensors are expanded to [4, 2, 3].
+    .. image:: https://githubraw.cdn.bcebos.com/PaddlePaddle/docs/develop/docs/images/api_legend/broadcast.png
+       :width: 800
+       :alt: Illustration of BroadCast
+       :align: center
+
     Args:
         input (list|tuple): ``input`` is a Tensor list or Tensor tuple which is with data type bool,
             float16, float32, float64, int32, int64, complex64, complex128. All the Tensors in ``input`` must have same data type.