apeforest commented on a change in pull request #15170: [MXNET-1413] Adding
Large Tensor support for sort operators
URL: https://github.com/apache/incubator-mxnet/pull/15170#discussion_r296058604
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File path: tests/nightly/test_large_array.py
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@@ -326,6 +326,33 @@ def test_softmax():
assert_almost_equal(output.asnumpy(), true_output, rtol=1e-5, atol=1e-5)
+def test_argsort():
+ b = create_2d_tensor(rows=LARGE_X, columns=SMALL_Y)
+ s = nd.argsort(b, axis=0, is_ascend=False, dtype=np.int64)
+ mx.nd.waitall()
+ assert (s[0].asnumpy() == (LARGE_X - 1)).all()
+
+
+def test_sort():
+ b = create_2d_tensor(rows=LARGE_X, columns=SMALL_Y)
+ s = nd.sort(b, axis=0, is_ascend=False)
+ assert np.sum(s[-1][SMALL_Y//2:SMALL_Y].asnumpy() == 0).all()
+ s = nd.sort(b, is_ascend=False)
+ assert np.sum(s[0].asnumpy() == 0).all()
+
+
+def test_topk():
+ b = create_2d_tensor(rows=LARGE_X, columns=SMALL_Y)
+ k = nd.topk(b, k=10, axis=0, dtype=np.int64)
+ assert np.sum(k.asnumpy() == (LARGE_X - 1)) == SMALL_Y
+ b = create_2d_tensor(rows=SMALL_Y, columns=LARGE_X)
+ l = nd.topk(b, k=1, axis=-1, dtype=np.int64, ret_typ="value")
+ assert l.sum() == np.sum(np.arange(0, SMALL_Y))
+ b = create_2d_tensor(rows=LARGE_X, columns=SMALL_Y)
Review comment:
fine. don't need to do in this PR.
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