Masquerade0097 opened a new issue #18667:
URL: https://github.com/apache/incubator-mxnet/issues/18667
## Description
I'm working on enabling MXNet on IBM Z (s390x architecture) machines. I
successfully installed MXNet on s390x but encountered the following error while
trying to use it.
### Error Message
```
Traceback (most recent call last):
File "scr.py", line 76, in <module>
finetune_net = resnet50_v2(pretrained=True, ctx=ctx)
File
"/root/mxnet-1.5.0/mxnet/python/mxnet/gluon/model_zoo/vision/resnet.py", line
512, in resnet50_v2
return get_resnet(2, 50, **kwargs)
File
"/root/mxnet-1.5.0/mxnet/python/mxnet/gluon/model_zoo/vision/resnet.py", line
391, in get_resnet
root=root), ctx=ctx)
File "/root/mxnet-1.5.0/mxnet/python/mxnet/gluon/block.py", line 384, in
load_parameters
loaded = ndarray.load(filename)
File "/root/mxnet-1.5.0/mxnet/python/mxnet/ndarray/utils.py", line 175, in
load
ctypes.byref(names)))
File "/root/mxnet-1.5.0/mxnet/python/mxnet/base.py", line 253, in
check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [19:50:04] include/mxnet/./tuple.h:354: Check failed:
ndim >= -1 (-906324999 vs. -1) : ndim cannot be less than -1, received
-906324999
Stack trace:
[bt] (0) /opt/mxnet/lib/libmxnet.so(mxnet::Tuple<long>::SetDim(int)+0x670)
[0x3ff841f6888]
[bt] (1) /opt/mxnet/lib/libmxnet.so(mxnet::TShape::TShape(int, long)+0x2a)
[0x3ff841f6d12]
[bt] (2) /opt/mxnet/lib/libmxnet.so(mxnet::LegacyTShapeLoad(dmlc::Stream*,
mxnet::TShape*, unsigned int)+0x4e) [0x3ff8629f0be]
[bt] (3)
/opt/mxnet/lib/libmxnet.so(mxnet::NDArray::LegacyLoad(dmlc::Stream*, unsigned
int)+0x68) [0x3ff862a4578]
[bt] (4)
/opt/mxnet/lib/libmxnet.so(mxnet::NDArray::Load(dmlc::Stream*)+0x12e)
[0x3ff862a91de]
[bt] (5) /opt/mxnet/lib/libmxnet.so(mxnet::NDArray::Load(dmlc::Stream*,
std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> >*,
std::vector<std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char,
std::char_traits<char>, std::allocator<char> > > >*)+0x8b8) [0x3ff862ac4d8]
[bt] (6) /opt/mxnet/lib/libmxnet.so(MXNDArrayLoad+0xf4) [0x3ff8692eaa4]
[bt] (7) /usr/lib/s390x-linux-gnu/libffi.so.6(ffi_call_SYSV+0x98)
[0x3ff88385760]
[bt] (8) /usr/lib/s390x-linux-gnu/libffi.so.6(ffi_call+0x72)
[0x3ff88385e12]
```
## To Reproduce
1. Install MXNet from source with the flag `USE_SSE=0`.
2. Follow the tutorial to test the library -
https://mxnet.apache.org/api/python/docs/tutorials/getting-started/gluon_from_experiment_to_deployment.html
## Environment
```
----------Python Info----------
('Version :', '2.7.17')
('Compiler :', 'GCC 7.5.0')
('Build :', ('default', 'Apr 15 2020 17:20:14'))
('Arch :', ('64bit', ''))
------------Pip Info-----------
('Version :', '9.0.1')
('Directory :', '/usr/lib/python2.7/dist-packages/pip')
----------MXNet Info-----------
No MXNet installed.
----------System Info----------
('Platform :', 'Linux-4.15.0-99-generic-s390x-with-Ubuntu-18.04-bionic')
('system :', 'Linux')
('node :', 'e0e720e9a63c')
('release :', '4.15.0-99-generic')
('version :', '#100-Ubuntu SMP Wed Apr 22 20:31:47 UTC 2020')
----------Hardware Info----------
('machine :', 's390x')
('processor :', 's390x')
Architecture: s390x
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Big Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 1
Core(s) per socket: 1
Socket(s) per book: 1
Book(s) per drawer: 1
Drawer(s): 4
NUMA node(s): 1
Vendor ID: IBM/S390
Machine type: 3906
CPU dynamic MHz: 5208
CPU static MHz: 5208
BogoMIPS: 21881.00
Hypervisor: z/VM 7.1.0
Hypervisor vendor: IBM
Virtualization type: full
Dispatching mode: horizontal
L1d cache: 128K
L1i cache: 128K
L2d cache: 4096K
L2i cache: 2048K
L3 cache: 131072K
L4 cache: 688128K
NUMA node0 CPU(s): 0-3
Flags: esan3 zarch stfle msa ldisp eimm dfp edat etf3eh
highgprs te vx vxd vxe gs sie
----------Network Test----------
Setting timeout: 10
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0296 sec, LOAD:
0.5045 sec.
Timing for D2L: http://d2l.ai, DNS: 0.0213 sec, LOAD: 0.0491 sec.
Timing for FashionMNIST:
https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
DNS: 0.0572 sec, LOAD: 0.4216 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403:
Forbidden, DNS finished in 0.0146398544312 sec.
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0226
sec, LOAD: 0.5108 sec.
Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0651 sec, LOAD:
0.3567 sec.
Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0284 sec, LOAD: 0.1796 sec.
Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0037
sec, LOAD: 0.4694 sec.
root@e0e720e9a63c:~/testing# curl --retry 10 -s
https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py |
python3
----------Python Info----------
Version : 3.6.9
Compiler : GCC 8.4.0
Build : ('default', 'Apr 18 2020 01:56:04')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 9.0.1
Directory : /usr/lib/python3/dist-packages/pip
----------MXNet Info-----------
Version : 1.5.0
Directory : /root/mxnet-1.5.0/mxnet/python/mxnet
Num GPUs : 0
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Linux-4.15.0-99-generic-s390x-with-Ubuntu-18.04-bionic
system : Linux
node : e0e720e9a63c
release : 4.15.0-99-generic
version : #100-Ubuntu SMP Wed Apr 22 20:31:47 UTC 2020
----------Hardware Info----------
machine : s390x
processor : s390x
Architecture: s390x
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Big Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 1
Core(s) per socket: 1
Socket(s) per book: 1
Book(s) per drawer: 1
Drawer(s): 4
NUMA node(s): 1
Vendor ID: IBM/S390
Machine type: 3906
CPU dynamic MHz: 5208
CPU static MHz: 5208
BogoMIPS: 21881.00
Hypervisor: z/VM 7.1.0
Hypervisor vendor: IBM
Virtualization type: full
Dispatching mode: horizontal
L1d cache: 128K
L1i cache: 128K
L2d cache: 4096K
L2i cache: 2048K
L3 cache: 131072K
L4 cache: 688128K
NUMA node0 CPU(s): 0-3
Flags: esan3 zarch stfle msa ldisp eimm dfp edat etf3eh
highgprs te vx vxd vxe gs sie
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0044
sec, LOAD: 0.0622 sec.
Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0037
sec, LOAD: 0.0612 sec.
Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0039 sec, LOAD:
0.1054 sec.
Timing for D2L: http://d2l.ai, DNS: 0.0040 sec, LOAD: 0.0172 sec.
Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0037 sec, LOAD: 0.2370 sec.
Timing for FashionMNIST:
https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
DNS: 0.0038 sec, LOAD: 0.0423 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0038 sec, LOAD:
0.4736 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403:
Forbidden, DNS finished in 0.0038928985595703125 sec.
```
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