apeforest commented on a change in pull request #15059: [MXNET-1410]Adding
Large Tensor Support for tensor transpose
URL: https://github.com/apache/incubator-mxnet/pull/15059#discussion_r287474024
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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_transpose():
+ a = nd.arange(0, LARGE_X).reshape(LARGE_X, 1)
+ b = nd.broadcast_to(a, shape=(a.shape[0], SMALL_Y))
+ t = b.T
+ assert t.shape == (SMALL_Y, LARGE_X)
+ assert np.sum(t[:,-1].asnumpy() == LARGE_X) == b.shape[1]
+ t = nd.swapaxes(b, dim1=0, dim2=1)
+ assert t.shape == (SMALL_Y, LARGE_X)
+ assert np.sum(t[:,-1].asnumpy() == LARGE_X) == b.shape[1]
+ t = nd.flip(b, axis=0)
Review comment:
try test operator invidually to avoid collateral failures.
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