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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/03/18 14:26:21 UTC
[GitHub] [incubator-mxnet] lostella opened a new issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux
lostella opened a new issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux
URL: https://github.com/apache/incubator-mxnet/issues/17868
## Description
Cholesky factorization crashes on MXNet 1.6.0 on Linux, instead of raising an exception like it does on macOS.
### Error Message
```
terminate called after throwing an instance of 'dmlc::Error'
what(): [14:01:07] src/operator/tensor/./../linalg_impl.h:691: Check failed: ret == 0 (2 vs. 0) : spotrf failed in lapack on cpu. This may happen when the input matrix is either not symmetric or not positive definite.
Stack trace:
[bt] (0) /usr/local/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x307d3b) [0x7f78ae7a5d3b]
[bt] (1) /usr/local/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x314ad0b) [0x7f78b15e8d0b]
Aborted
```
## To Reproduce
```python
import mxnet as mx
import numpy as np
A = mx.nd.array(
[[[1, 0], [0, -2]], [[1, 0], [0, 4]]], ctx=mx.cpu(), dtype=np.float32
)
try:
L = mx.nd.linalg.potrf(A)
print(L)
except mx.MXNetError as err:
print("maybe matrix is not symmetric and positive definite?")
```
## Environment
```
----------Python Info----------
Version : 3.7.4
Compiler : GCC 8.3.0
Build : ('default', 'Aug 14 2019 12:09:51')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 20.0.2
Directory : /usr/local/lib/python3.7/site-packages/pip
----------MXNet Info-----------
Version : 1.6.0
Directory : /usr/local/lib/python3.7/site-packages/mxnet
Num GPUs : 0
Commit Hash : 6eec9da55c5096079355d1f1a5fa58dcf35d6752
----------System Info----------
Platform : Linux-4.9.184-linuxkit-x86_64-with-debian-10.0
system : Linux
node : e5d687384f3d
release : 4.9.184-linuxkit
version : #1 SMP Tue Jul 2 22:58:16 UTC 2019
----------Hardware Info----------
machine : x86_64
processor :
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 39 bits physical, 48 bits virtual
CPU(s): 2
On-line CPU(s) list: 0,1
Thread(s) per core: 1
Core(s) per socket: 1
Socket(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 142
Model name: Intel(R) Core(TM) i7-7660U CPU @ 2.50GHz
Stepping: 9
CPU MHz: 2500.000
BogoMIPS: 4992.00
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 4096K
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht pbe syscall nx pdpe1gb lm constant_tsc rep_good nopl xtopology nonstop_tsc pni pclmulqdq dtes64 ds_cpl ssse3 sdbg fma cx16 xtpr pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch kaiser fsgsbase bmi1 hle avx2 bmi2 erms rtm xsaveopt arat
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0633 sec, LOAD: 1.5485 sec.
Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0040 sec, LOAD: 0.8173 sec.
Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 1.0898 sec, LOAD: 0.8475 sec.
Timing for D2L: http://d2l.ai, DNS: 0.0738 sec, LOAD: 1.3540 sec.
Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0777 sec, LOAD: 0.5348 sec.
Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.1271 sec, LOAD: 1.5946 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0576 sec, LOAD: 1.1366 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0450 sec, LOAD: 0.2497 sec.
```
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[GitHub] [incubator-mxnet] lostella edited a comment on issue #17868:
Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive
definite matrices
Posted by GitBox <gi...@apache.org>.
lostella edited a comment on issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868#issuecomment-601442560
Any chance this could be backported to the v1.6.x branch for the next bugfix release? Unless it's there already, that is :-)
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[GitHub] [incubator-mxnet] lostella commented on issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux for non positive definite
matrices
Posted by GitBox <gi...@apache.org>.
lostella commented on issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868#issuecomment-601431696
@szha works fine on 1.7.0b20200315
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[GitHub] [incubator-mxnet] leezu commented on issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux for non positive definite
matrices
Posted by GitBox <gi...@apache.org>.
leezu commented on issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868#issuecomment-601441818
It may be fixed by https://github.com/apache/incubator-mxnet/pull/17509
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[GitHub] [incubator-mxnet] larroy commented on issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux for non positive definite
matrices
Posted by GitBox <gi...@apache.org>.
larroy commented on issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868#issuecomment-600774403
@mseth10
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[GitHub] [incubator-mxnet] lostella commented on issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux for non positive definite
matrices
Posted by GitBox <gi...@apache.org>.
lostella commented on issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868#issuecomment-601442560
Any chance this could be backported to the v1.6.x branch for the next bugfix release?
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[GitHub] [incubator-mxnet] szha commented on issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux for non positive definite
matrices
Posted by GitBox <gi...@apache.org>.
szha commented on issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868#issuecomment-601429125
The logic looks right and unchanged, so the issue is on why terminate is called in `CHECK()`.
Let's first verify whether it's working in the 1.7 nightly builds. `pip install --upgrade --pre “mxnet>=1.6,<2" -f https://dist.mxnet.io/python`
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[GitHub] [incubator-mxnet] lostella commented on issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux for non positive definite
matrices
Posted by GitBox <gi...@apache.org>.
lostella commented on issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868#issuecomment-601450780
#17876 (hope everything is fine, there was a conflict during cherry picking)
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[GitHub] [incubator-mxnet] lostella closed issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux for non positive definite
matrices
Posted by GitBox <gi...@apache.org>.
lostella closed issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868
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[GitHub] [incubator-mxnet] leezu edited a comment on issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux for non positive definite
matrices
Posted by GitBox <gi...@apache.org>.
leezu edited a comment on issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868#issuecomment-601441818
It may be fixed by https://github.com/apache/incubator-mxnet/pull/17509. Previously the exception handling logic was faulty.
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[GitHub] [incubator-mxnet] leezu commented on issue #17868: Cholesky
factorization crashes on MXNet 1.6.0 on Linux for non positive definite
matrices
Posted by GitBox <gi...@apache.org>.
leezu commented on issue #17868: Cholesky factorization crashes on MXNet 1.6.0 on Linux for non positive definite matrices
URL: https://github.com/apache/incubator-mxnet/issues/17868#issuecomment-601444152
You're welcome to create a PR for backporting
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