Update tensor_patch_methods.py (#72659)

co63oc · web-flow · commit f0b381932997 · 2025-05-12T16:05:51.000+08:00
diff --git a/python/paddle/base/dygraph/tensor_patch_methods.py b/python/paddle/base/dygraph/tensor_patch_methods.py
@@ -736,29 +736,29 @@ def to(self: Tensor, *args, **kwargs):
             .. code-block:: python
 
                 >>> import paddle
-                >>> tensorx = paddle.to_tensor([1,2,3])
-                >>> print(tensorx)
+                >>> x = paddle.to_tensor([1,2,3])
+                >>> print(x)
                 Tensor(shape=[3], dtype=int64, place=Place(gpu:0), stop_gradient=True,
                     [1, 2, 3])
 
-                >>> tensorx = tensorx.to("cpu")
-                >>> print(tensorx.place)
+                >>> x = x.to("cpu")
+                >>> print(x.place)
                 Place(cpu)
 
-                >>> tensorx = tensorx.to("float32")
-                >>> print(tensorx.dtype)
+                >>> x = x.to("float32")
+                >>> print(x.dtype)
                 paddle.float32
 
-                >>> tensorx = tensorx.to("gpu", "int16")
-                >>> print(tensorx)
+                >>> x = x.to("gpu", "int16")
+                >>> print(x)
                 Tensor(shape=[3], dtype=int16, place=Place(gpu:0), stop_gradient=True,
                     [1, 2, 3])
-                >>> tensor2 = paddle.to_tensor([4,5,6])
-                >>> tensor2
+                >>> y = paddle.to_tensor([4,5,6])
+                >>> y
                 Tensor(shape=[3], dtype=int64, place=Place(gpu:0), stop_gradient=True,
                     [4, 5, 6])
-                >>> tensor2 = tensor2.to(tensorx)
-                >>> print(tensor2)
+                >>> y = y.to(x)
+                >>> print(y)
                 Tensor(shape=[3], dtype=int16, place=Place(gpu:0), stop_gradient=True,
                     [4, 5, 6])
         """
diff --git a/python/paddle/pir/math_op_patch.py b/python/paddle/pir/math_op_patch.py
@@ -834,29 +834,29 @@ def to(self, *args, **kwargs):
             .. code-block:: python
 
                 >>> import paddle
-                >>> tensorx = paddle.to_tensor([1,2,3])
-                >>> print(tensorx)
+                >>> x = paddle.to_tensor([1,2,3])
+                >>> print(x)
                 Tensor(shape=[3], dtype=int64, place=Place(gpu:0), stop_gradient=True,
                     [1, 2, 3])
 
-                >>> tensorx = tensorx.to("cpu")
-                >>> print(tensorx.place)
+                >>> x = x.to("cpu")
+                >>> print(x.place)
                 Place(cpu)
 
-                >>> tensorx = tensorx.to("float32")
-                >>> print(tensorx.dtype)
+                >>> x = x.to("float32")
+                >>> print(x.dtype)
                 paddle.float32
 
-                >>> tensorx = tensorx.to("gpu", "int16")
-                >>> print(tensorx)
+                >>> x = x.to("gpu", "int16")
+                >>> print(x)
                 Tensor(shape=[3], dtype=int16, place=Place(gpu:0), stop_gradient=True,
                     [1, 2, 3])
-                >>> tensor2 = paddle.to_tensor([4,5,6])
-                >>> tensor2
+                >>> y = paddle.to_tensor([4,5,6])
+                >>> y
                 Tensor(shape=[3], dtype=int64, place=Place(gpu:0), stop_gradient=True,
                     [4, 5, 6])
-                >>> tensor2 = tensor2.to(tensorx)
-                >>> print(tensor2)
+                >>> y = y.to(x)
+                >>> print(y)
                 Tensor(shape=[3], dtype=int16, place=Place(gpu:0), stop_gradient=True,
                     [4, 5, 6])
         """
