Zha0q1 commented on a change in pull request #18744:
URL: https://github.com/apache/incubator-mxnet/pull/18744#discussion_r459688649
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File path: tests/nightly/test_large_array.py
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@@ -1168,6 +1169,83 @@ def check_correctness(mxnet_op, numpy_op, atol=1e-3):
check_binary_broadcast()
+def test_linalg():
+ def get_large_identity_mat():
+ A = nd.zeros((LARGE_SQ_X, LARGE_SQ_X))
+ for i in range(LARGE_SQ_X):
+ A[i,i] = 1
+ return A
+
+ def batchify(A):
+ A_np = A.asnumpy()
+ B = nd.array([A_np, A_np])
Review comment:
instead of duplicating the matrix maybe you can just add an additional
dimension by [A_np]. In my test I originally did [matrix1, matrix2] but this
effectively doubled the runtime so in the end I used just [matrix] with shape
(1,8000,8000)
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