terminate called after throwing an instance of 'std::logic_error'

[Linshiqi-Git]

Hello,

There's an error which I cannot traceback.
The input matrix is a matrix of 19752*16, and I want to reduce the dimensionality of 16 dimensions to 2 dimensions.
When I used the first 1000 examples, the code ran smoothly. But when I increase to 5000 examples, I get the following error.

> head(data)
          V1        V2        V3        V4        V5        V6        V7
1: -0.035533 -0.269505 -0.242356 -0.346642  0.215485 -0.270419 -0.084026
2:  0.365067 -0.013597 -0.198735 -0.202712 -0.172067  0.081563  0.406164
3: -0.116263 -0.763487 -0.766170 -1.050907  0.646879 -0.769130 -0.270211
4: -0.054875 -0.936998 -0.958534 -1.295586  0.733142 -0.917629 -0.134953
5: -0.077013 -0.059518 -0.105835  0.194416  0.055624 -0.000481  0.128617
6: -0.110590 -0.435528 -0.412089 -0.599555  0.373934 -0.477969 -0.207258
          V8        V9       V10       V11       V12       V13       V14
1:  0.037065 -0.101412  0.100584 -0.054974  0.050207  0.031419 -0.099805
2:  0.263552  0.138655 -0.276181  0.314461 -0.824125 -0.083640  0.190374
3:  0.087700 -0.333627  0.350103 -0.266656  0.181778  0.078066 -0.329959
4:  0.243693 -0.281359  0.230305 -0.141352 -0.024434  0.110799 -0.277720
5: -0.002416 -0.001282 -0.138842 -0.014105 -0.023678  0.066954  0.080230
6:  0.010906 -0.217827  0.231002 -0.210552  0.208879  0.036738 -0.257102
         V15       V16
1: -0.153969  0.175217
2: -0.014546 -0.137743
3: -0.532380  0.551592
4: -0.589061  0.559640
5:  0.060884 -0.101197
6: -0.307401  0.352396
> vis=largeVis(t(data), dim=2,max_iter = 2,threads = 1,verbose=TRUE)
Searching for neighbors.
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
terminate called after throwing an instance of 'std::logic_error'
  what():  median(): detected NaN
Aborted (core dumped)

My R environment is

> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-conda_cos6-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS:   /software/biosoft/software/python/python2020/lib/libblas.so.3.6.0
LAPACK: /software/biosoft/software/python/python2020/lib/liblapack.so.3.6.0

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
 [9] LC_ADDRESS=C               LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

other attached packages:
[1] data.table_1.14.2 largeVis_0.2      Matrix_1.5-1      Rcpp_1.0.9

loaded via a namespace (and not attached):
 [1] lattice_0.20-44  fansi_1.0.3      assertthat_0.2.1 dplyr_1.0.10
 [5] utf8_1.2.2       grid_4.0.2       R6_2.5.1         DBI_1.1.3
 [9] lifecycle_1.0.3  gtable_0.3.0     magrittr_2.0.3   scales_1.2.1
[13] pillar_1.8.1     ggplot2_3.3.6    rlang_1.0.6      cli_3.4.1
[17] generics_0.1.3   vctrs_0.4.2      glue_1.6.2       munsell_0.5.0
[21] compiler_4.0.2   pkgconfig_2.0.3  colorspace_2.0-3 tidyselect_1.2.0
[25] tibble_3.1.8

Thanks & regards!