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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/03/02 20:24:02 UTC
[GitHub] AndreGuerra123 opened a new issue #9967: Error in output.shape[[output.names]]
AndreGuerra123 opened a new issue #9967: Error in output.shape[[output.names]]
URL: https://github.com/apache/incubator-mxnet/issues/9967
Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the checklist for essential information to most of the technical issues and bug reports. For non-technical issues and feature requests, feel free to present the information in what you believe is the best form.
For Q & A and discussion, please start a discussion thread at https://discuss.mxnet.io
## Description
Failed to get some dimension properties from a multidimensional array in R, right in the beginning of the feedforward.create function.
## Environment info (Required)
```
What to do:
1. Download the diagnosis script from https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
2. Run the script using `python diagnose.py` and paste its output here.
C:\Users\admin\Desktop>python diagnose.py
----------Python Info----------
Version : 3.6.3
Compiler : MSC v.1900 64 bit (AMD64)
Build : ('v3.6.3:2c5fed8', 'Oct 3 2017 18:11:49')
Arch : ('64bit', 'WindowsPE')
------------Pip Info-----------
Version : 9.0.1
Directory : C:\Users\admin\AppData\Local\Programs\Python\Python36\lib\site-pa
ckages\pip
----------MXNet Info-----------
No MXNet installed.
----------System Info----------
Platform : Windows-7-6.1.7601-SP1
system : Windows
node : ceamphd82
release : 7
version : 6.1.7601
----------Hardware Info----------
machine : AMD64
processor : Intel64 Family 6 Model 61 Stepping 4, GenuineIntel
Traceback (most recent call last):
File "diagnose.py", line 177, in <module>
check_hardware()
File "diagnose.py", line 143, in check_hardware
subprocess.call(['wmic', 'cpu', 'get', 'name'])
File "C:\Users\admin\AppData\Local\Programs\Python\Python36\lib\subprocess.py"
, line 267, in call
with Popen(*popenargs, **kwargs) as p:
File "C:\Users\admin\AppData\Local\Programs\Python\Python36\lib\subprocess.py"
, line 709, in __init__
restore_signals, start_new_session)
File "C:\Users\admin\AppData\Local\Programs\Python\Python36\lib\subprocess.py"
, line 997, in _execute_child
startupinfo)
FileNotFoundError: [WinError 2] The system cannot find the file specified
```
Package used (Python/R/Scala/Julia):
(I'm using R)
For R user, please provide R `sessionInfo()`:
R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
Matrix products: default
locale:
[1] LC_COLLATE=English_United Kingdom.1252
[2] LC_CTYPE=English_United Kingdom.1252
[3] LC_MONETARY=English_United Kingdom.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.1252
attached base packages:
[1] stats graphics grDevices utils datasets
[6] methods base
other attached packages:
[1] mxnet_0.10.1 RMySQL_0.10.13 DBI_0.7
loaded via a namespace (and not attached):
[1] Rcpp_0.12.12 pillar_1.1.0
[3] compiler_3.4.1 RColorBrewer_1.1-2
[5] influenceR_0.1.0 plyr_1.8.4
[7] bindr_0.1 viridis_0.4.0
[9] tools_3.4.1 digest_0.6.12
[11] jsonlite_1.5 viridisLite_0.2.0
[13] tibble_1.4.1 gtable_0.2.0
[15] rgexf_0.15.3 pkgconfig_2.0.1
[17] rlang_0.1.2 igraph_1.1.2
[19] rstudioapi_0.7 yaml_2.1.14
[21] bindrcpp_0.2 gridExtra_2.3
[23] downloader_0.4 DiagrammeR_0.9.2
[25] dplyr_0.7.3 stringr_1.2.0
[27] htmlwidgets_0.9 hms_0.3
[29] grid_3.4.1 glue_1.1.1
[31] R6_2.2.2 Rook_1.1-1
[33] XML_3.98-1.9 readr_1.1.1
[35] purrr_0.2.3 tidyr_0.7.2
[37] ggplot2_2.2.1 magrittr_1.5
[39] codetools_0.2-15 scales_0.5.0
[41] htmltools_0.3.6 assertthat_0.2.0
[43] colorspace_1.3-2 brew_1.0-6
[45] stringi_1.1.5 visNetwork_2.0.1
[47] lazyeval_0.2.0 munsell_0.4.3
## Error Message:
Error in output.shape[[output.names]] <- dim((X$value())$label) :
attempt to select less than one element in OneIndex
## Minimum reproducible example
(If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
## Steps to reproduce
x is Large array (492 * 426 * 3 * 126) - width, height,channel, samples/
y is factor vector of size 120;
1. mo <- mx.symbol.Variable('data');
2. m1 <- mx.symbol.FullyConnected(data = mo, num.hidden = 20, no.bias = FALSE, name ='damn')
3. Model <- mx.model.FeedForward.create(m1,X=x,y=YDataset$Classification, ctx = cpu, num.round = 30, array.batch.size = 100, learning.rate = 0.05, momentum = 0.9, wd=0.0001, eval.metric = mx.metric.accuracy) <- Error only happens here.
## What have you tried to solve it?
1. I have no idea what to do when your x data has no labels. Is this necessary?
2. I cannot attach the data since its bigger than 10MB xD. Here it is: https://drive.google.com/file/d/1uM8AotCKGUGMsrAZNYwJYWuVUv7K0JWT/view?usp=sharing
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