access2rohit commented on issue #16178: [WIP]improving argmax perf URL: https://github.com/apache/incubator-mxnet/pull/16178#issuecomment-533922434 > @access2rohit: It seems that to pass following test from /work/mxnet/julia/test/unittest/ndarray.jl, lines1511-1531: > > ``` > function test_argmax() > . . . > @info "NDArray::argmax" > @info "NDArray::argmax::NaN" > let > A = [1. 5 3; > NaN 2 6] > x = NDArray(A) > > @test copy(argmax(x, dims = 1)) == [1 1 2] > @test copy(argmax(x, dims = 2)) == reshape([2, 3], :, 1) > end > end > ``` > > We have to skip `NaN`'s. As far as I understand, in that case the outputs of `nd.argmax` and `np.nanarmax` should be identical and we will non need `nd.nanargmax`. Is it correct? > > BTW, what would be correct output of `nd.argmax` when all elements of vector will be `NaN`'s? > > ``` > A = [1. 5 3; > NaN NaN NaN] > ``` @drivanov Yes Correct For all Nan along the axis we should ideally raise valueerror just like np.nanargmax: https://docs.scipy.org/doc/numpy/reference/generated/numpy.nanargmax.html
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