feat(mge): rename arange paramter end -> stop

GitOrigin-RevId: ea9064e351

imperative/python/megengine/functional/tensor.py

@@ -929,15 +929,15 @@ def linspace(
 
 def arange(
     start: Union[int, float, Tensor] = 0,
-    end: Optional[Union[int, float, Tensor]] = None,
+    stop: Optional[Union[int, float, Tensor]] = None,
     step: Union[int, float, Tensor] = 1,
     dtype="float32",
     device: Optional[CompNode] = None,
 ) -> Tensor:
-    r"""Returns a tensor with values from start to end with adjacent interval step.
+    r"""Returns a tensor with values from start to stop with adjacent interval step.
 
     :param start: starting value of the squence, shoule be scalar.
-    :param end: ending value of the squence, shoule be scalar.
+    :param stop: ending value of the squence, shoule be scalar.
     :param step: gap between each pair of adjacent values. Default: 1
     :param dtype: result data type.
     :return: generated tensor.
@@ -961,16 +961,16 @@ def arange(
         [0. 1. 2. 3. 4.]
 
     """
-    if end is None:
-        start, end = 0, start
+    if stop is None:
+        start, stop = 0, start
 
     if isinstance(start, Tensor):
         start = start.astype("float32")
-    if isinstance(end, Tensor):
-        end = end.astype("float32")
+    if isinstance(stop, Tensor):
+        stop = stop.astype("float32")
     if isinstance(step, Tensor):
         step = step.astype("float32")
-    num = ceil(Tensor((end - start) / step, device=device))
+    num = ceil(Tensor((stop - start) / step, device=device))
     stop = start + step * (num - 1)
     result = linspace(start, stop, num, device=device)
     if np.dtype(dtype) == np.int32: