[GitHub] aaronmarkham closed pull request #13541: Updated docs for randint operator

[GitBox <gi...@apache.org>]

aaronmarkham closed pull request #13541: Updated docs for randint operator
URL: https://github.com/apache/incubator-mxnet/pull/13541
 
 
   

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diff --git a/docs/api/python/ndarray/ndarray.md b/docs/api/python/ndarray/ndarray.md
index 6fcf1d428d2..6419c4ed406 100644
--- a/docs/api/python/ndarray/ndarray.md
+++ b/docs/api/python/ndarray/ndarray.md
@@ -587,15 +587,17 @@ The `ndarray` package provides several classes:
 .. autosummary::
     :nosignatures:
 
-    mxnet.ndarray.random.uniform
-    mxnet.ndarray.random.normal
-    mxnet.ndarray.random.gamma
-    mxnet.ndarray.random.exponential
-    mxnet.ndarray.random.poisson
-    mxnet.ndarray.random.negative_binomial
-    mxnet.ndarray.random.generalized_negative_binomial
-    mxnet.ndarray.random.multinomial
-    mxnet.ndarray.random.shuffle
+    random.exponential
+    random.gamma
+    random.generalized_negative_binomial
+    random.multinomial
+    random.negative_binomial
+    random.normal
+    random.poisson
+    random.randint
+    random.randn
+    random.shuffle
+    random.uniform
     mxnet.random.seed
 ```
 
diff --git a/docs/api/python/ndarray/random.md b/docs/api/python/ndarray/random.md
index 3ea611f5c8e..60c565dd552 100644
--- a/docs/api/python/ndarray/random.md
+++ b/docs/api/python/ndarray/random.md
@@ -31,12 +31,14 @@ In the rest of this document, we list routines provided by the `ndarray.random`
     exponential
     gamma
     generalized_negative_binomial
+    multinomial
     negative_binomial
     normal
     poisson
-    uniform
-    multinomial
+    randint
+    randn
     shuffle
+    uniform
     mxnet.random.seed
 ```
 
diff --git a/docs/api/python/symbol/random.md b/docs/api/python/symbol/random.md
index b93f641334f..1ecaf38830f 100644
--- a/docs/api/python/symbol/random.md
+++ b/docs/api/python/symbol/random.md
@@ -31,12 +31,13 @@ In the rest of this document, we list routines provided by the `symbol.random` p
     exponential
     gamma
     generalized_negative_binomial
+    multinomial
     negative_binomial
     normal
     poisson
-    uniform
-    multinomial
+    randint
     shuffle
+    uniform
     mxnet.random.seed
 ```
 
diff --git a/docs/api/python/symbol/symbol.md b/docs/api/python/symbol/symbol.md
index a4038d74174..9eba2618065 100644
--- a/docs/api/python/symbol/symbol.md
+++ b/docs/api/python/symbol/symbol.md
@@ -586,15 +586,16 @@ Composite multiple symbols into a new one by an operator.
 .. autosummary::
     :nosignatures:
 
-    mxnet.symbol.random.uniform
-    mxnet.symbol.random.normal
-    mxnet.symbol.random.gamma
-    mxnet.symbol.random.exponential
-    mxnet.symbol.random.poisson
-    mxnet.symbol.random.negative_binomial
-    mxnet.symbol.random.generalized_negative_binomial
-    mxnet.symbol.random.multinomial
-    mxnet.symbol.random.shuffle
+    random.exponential
+    random.gamma
+    random.generalized_negative_binomial
+    random.multinomial
+    random.negative_binomial
+    random.normal
+    random.poisson
+    random.randint
+    random.shuffle
+    random.uniform
     mxnet.random.seed
 ```
 
diff --git a/python/mxnet/ndarray/random.py b/python/mxnet/ndarray/random.py
index fc8be571e2e..78339a02086 100644
--- a/python/mxnet/ndarray/random.py
+++ b/python/mxnet/ndarray/random.py
@@ -25,7 +25,7 @@
 
 __all__ = ['uniform', 'normal', 'randn', 'poisson', 'exponential', 'gamma',
            'multinomial', 'negative_binomial', 'generalized_negative_binomial',
-           'shuffle']
+           'shuffle', 'randint']
 
 
 def _random_helper(random, sampler, params, shape, dtype, ctx, out, kwargs):
diff --git a/python/mxnet/symbol/random.py b/python/mxnet/symbol/random.py
index c5940ac96a5..34663cddf02 100644
--- a/python/mxnet/symbol/random.py
+++ b/python/mxnet/symbol/random.py
@@ -23,7 +23,7 @@
 
 
 __all__ = ['uniform', 'normal', 'poisson', 'exponential', 'gamma', 'multinomial',
-           'negative_binomial', 'generalized_negative_binomial', 'shuffle']
+           'negative_binomial', 'generalized_negative_binomial', 'shuffle', 'randint']
 
 
 def _random_helper(random, sampler, params, shape, dtype, kwargs):


 

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