add/update infer_range docs (v1.3.x)

python/mxnet/ndarray/ndarray.py

@@ -2493,6 +2493,9 @@ def arange(start, stop=None, step=1.0, repeat=1, ctx=None, dtype=mx_real_t):
         Spacing between values. The default step size is 1.
     repeat : int, optional
         Number of times to repeat each element. The default repeat count is 1.
+    infer_range : boolean, optional
+        When set to True, infer the stop position from the start, step,
+        repeat, and output tensor size.
     ctx : Context, optional
         Device context. Default context is the current default context.
     dtype : str or numpy.dtype, optional

python/mxnet/symbol/symbol.py

@@ -2900,6 +2900,9 @@ def arange(start, stop=None, step=1.0, repeat=1, name=None, dtype=None):
     repeat : int, optional
         "The repeating time of all elements.
         E.g repeat=3, the element a will be repeated three times --> a, a, a.
+    infer_range : boolean, optional
+        When set to True, infer the stop position from the start, step,
+        repeat, and output tensor size.
     dtype : str or numpy.dtype, optional
         The value type of the inner value, default to ``np.float32``.
 

scala-package/core/src/main/scala/org/apache/mxnet/NDArray.scala

@@ -403,6 +403,9 @@ object NDArray extends NDArrayBase {
    * @param stop End of interval.
    * @param step Spacing between values. The default step size is 1.
    * @param repeat Number of times to repeat each element. The default repeat count is 1.
+   * @param infer_range
+   *          When set to True, infer the stop position from the start, step,
+   *          repeat, and output tensor size.
    * @param ctx Device context. Default context is the current default context.
    * @param dType The data type of the `NDArray`. The default datatype is `DType.Float32`.
    * @return NDArray of evenly spaced values in the specified range.