[GitHub] [incubator-mxnet] anirudh2290 commented on a change in pull request #16477: added more tests to verify support for large vector

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

anirudh2290 commented on a change in pull request #16477: added more tests to verify support for large vector
URL: https://github.com/apache/incubator-mxnet/pull/16477#discussion_r335234920
 
 

 ##########
 File path: tests/nightly/test_large_vector.py
 ##########
 @@ -708,6 +708,182 @@ def test_full():
     assert a[-1] == 3
 
 
+def test_astype():
+    x = create_vector(size=LARGE_X//4)
+    x = nd.tile(x, 4)
+    y = x.astype('int32')
+    assert y.dtype == np.int32
+    assert y[-1] == LARGE_X//4-1
+
+
+def test_cast():
+    x = create_vector(size=LARGE_X//4)
+    x = nd.tile(x, 4)
+    y = nd.cast(x, np.int32)
+    assert y.dtype == np.int32
+    assert y[-1] == LARGE_X//4-1
+
+
+def test_repeat():
+    x = create_vector(size=LARGE_X//2)
+    y = nd.repeat(x, repeats=2, axis = 0)
+    assert y.shape[0] == LARGE_X
+    assert y[1] == 0
+    assert y[LARGE_X-1] == LARGE_X//2-1
+
+
+def create_input_for_rounding_ops():
+    inp = nd.arange(-LARGE_X//2, LARGE_X//2, dtype=np.float64)
+    inp = inp/2
+    return inp
+
+
+def test_ceil():
+    x = create_input_for_rounding_ops()
+    y = nd.ceil(x)
+    assert y[LARGE_X//2-2] == -1
 
 Review comment:
   what is this testing, can you add some comment here.

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