eric-haibin-lin commented on a change in pull request #12749: [MXNET-1029] 
Feature request: randint operator
URL: https://github.com/apache/incubator-mxnet/pull/12749#discussion_r230846569
 
 

 ##########
 File path: python/mxnet/ndarray/random.py
 ##########
 @@ -518,3 +518,52 @@ def shuffle(data, **kwargs):
     <NDArray 2x3 @cpu(0)>
     """
     return _internal._shuffle(data, **kwargs)
+
+
+def randint(low=0, high=1, shape=_Null, dtype=_Null, ctx=None, out=None, 
**kwargs):
+    """Draw random samples from a discrete uniform distribution.
+
+    Samples are uniformly distributed over the half-open interval *[low, high)*
+    (includes *low*, but excludes *high*).
+
+    Parameters
+    ----------
+    low : int, optional
+        Lower boundary of the output interval. All values generated will be
+        greater than or equal to low. The default value is 0.
+    high : int, optional
+        Upper boundary of the output interval. All values generated will be
+        less than high. The default value is 1.
+    shape : int or tuple of ints, optional
+        The number of samples to draw. If shape is, e.g., `(m, n)` and `low` 
and
+        `high` are scalars, output shape will be `(m, n)`.
+    dtype : {'int32', 'int64'}, optional
+        Data type of output samples. Default is 'int32'
+    ctx : Context, optional
 
 Review comment:
   Is it only supported on CPU? If so please document

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