apeforest commented on a change in pull request #15048: [MXNET-1408] Adding
test to verify Large Tensor Support for ravel and unravel
URL: https://github.com/apache/incubator-mxnet/pull/15048#discussion_r287530059
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File path: tests/nightly/test_large_array.py
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@@ -279,6 +279,19 @@ def test_diag():
assert_almost_equal(r.asnumpy(), np.diag(a_np, k=k))
+def test_ravel_and_unravel():
+ idxs_2d = [[LARGE_X-1,LARGE_X-100,6],[SMALL_Y-1,SMALL_Y-10,1]]
Review comment:
We can add C++ unit test to mock the memory allocation. However, I thought
the nightly test is used for end-to-end testing purpose to mimic the real
deployment situation, or is it not?
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