skipping randint flaky test for large vector and reordering op execut…

…ion (apache#17388)

ci/docker/runtime_functions.sh

@@ -1497,6 +1497,16 @@ nightly_test_large_vector() {
     nosetests-3.4 tests/nightly/test_large_vector.py:test_basic
 }
 
+#Test Large Vectors
+nightly_test_large_vector() {
+    set -ex
+    export PYTHONPATH=./python/
+    export DMLC_LOG_STACK_TRACE_DEPTH=10
+    nosetests-3.4 tests/nightly/test_large_vector.py:test_tensor
+    nosetests-3.4 tests/nightly/test_large_vector.py:test_nn
+    nosetests-3.4 tests/nightly/test_large_vector.py:test_basic
+}
+
 #Tests Amalgamation Build with 5 different sets of flags
 nightly_test_amalgamation() {
     set -ex

tests/nightly/test_large_vector.py

@@ -25,6 +25,7 @@
 from mxnet import gluon, nd
 from tests.python.unittest.common import with_seed
 from nose.tools import with_setup
+import unittest
 
 # dimension constants
 LARGE_X = 4300000000
@@ -147,14 +148,14 @@ def check_sequence_last():
         # check if it takes 2nd sequence from the first batch
         assert b[0] == a[1][0]
 
+    check_sequence_last()
     check_dense()
     check_regression()
     check_sign()
     check_layer_norm()
     check_batchnorm()
     check_sequence_mask()
     check_sequence_reverse()
-    check_sequence_last()
 
 
 def test_tensor():
@@ -178,6 +179,7 @@ def check_ndarray_random_uniform():
         a = nd.random.uniform(shape=LARGE_X)
         assert a[-1] != 0
 
+    @unittest.skip("Randint flaky, tracked at https://github.com/apache/incubator-mxnet/issues/16172")
     @with_seed()
     def check_ndarray_random_randint():
         # check if randint can generate value greater than 2**32 (large)