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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/01/22 16:34:20 UTC
[GitHub] [incubator-mxnet] bricksdont opened a new issue #17402: Cannot
install mxnet-cu101mkl with pip
bricksdont opened a new issue #17402: Cannot install mxnet-cu101mkl with pip
URL: https://github.com/apache/incubator-mxnet/issues/17402
## Description
Trying to install mxnet-cu101mkl with pip leads fails because no Pypi package matches.
### Error Message
```bash
% pip install mxnet-cu101mkl
ERROR: Could not find a version that satisfies the requirement mxnet-cu101mkl (from versions: none)
ERROR: No matching distribution found for mxnet-cu101mkl
```
### Steps to reproduce
- I am creating a new Python virtual environment that uses Python 3.6:
```
virtualenv -p python3.6 env
source env/bin/activate
```
- then I run this command:
```
pip install mxnet-cu101mkl
```
## What have you tried to solve it?
- install a local version of different pythons, for instance 3.7
- look in Pypi for specific wheels, download them and give them to pip directly to install
- check which wheel tags are supported on my system:
```bash
% python3 -c "import wheel.pep425tags as w; print(w.get_supported())" | sed -zE 's/\),/),\n/g'
[('cp36', 'cp36m', 'linux_x86_64'),
('cp36', 'abi3', 'linux_x86_64'),
('cp36', 'none', 'linux_x86_64'),
('cp35', 'abi3', 'linux_x86_64'),
('cp34', 'abi3', 'linux_x86_64'),
('cp33', 'abi3', 'linux_x86_64'),
('cp32', 'abi3', 'linux_x86_64'),
('cp36', 'none', 'any'),
('cp3', 'none', 'any'),
('cp35', 'none', 'any'),
('cp34', 'none', 'any'),
('cp33', 'none', 'any'),
('cp32', 'none', 'any'),
('cp31', 'none', 'any'),
('cp30', 'none', 'any'),
('py3', 'none', 'linux_x86_64'),
('py36', 'none', 'any'),
('py3', 'none', 'any'),
('py35', 'none', 'any'),
('py34', 'none', 'any'),
('py33', 'none', 'any'),
('py32', 'none', 'any'),
('py31', 'none', 'any'),
('py30', 'none', 'any')]
```
## Environment
We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below:
```
curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python
----------Python Info----------
Version : 3.6.2
Compiler : GCC 8.3.0
Build : ('default', 'Jan 22 2020 16:30:39')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 20.0.1
Directory : /srv/scratch1/mmueller/multitutorial/sockeye3/lib/python3.6/site-packages/pip
----------MXNet Info-----------
No MXNet installed.
----------System Info----------
Platform : Linux-4.19.0-6-amd64-x86_64-with-debian-10.2
system : Linux
node : rattle
release : 4.19.0-6-amd64
version : #1 SMP Debian 4.19.67-2+deb10u2 (2019-11-11)
----------Hardware Info----------
machine : x86_64
processor :
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 46 bits physical, 48 bits virtual
CPU(s): 24
On-line CPU(s) list: 0-23
Thread(s) per core: 1
Core(s) per socket: 12
Socket(s): 2
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 79
Model name: Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz
Stepping: 1
CPU MHz: 2499.876
CPU max MHz: 2900.0000
CPU min MHz: 1200.0000
BogoMIPS: 4399.78
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 30720K
NUMA node0 CPU(s): 0-11
NUMA node1 CPU(s): 12-23
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0060 sec, LOAD: 0.6965 sec.
Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0005 sec, LOAD: 0.5009 sec.
Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0211 sec, LOAD: 0.0172 sec.
Timing for D2L: http://d2l.ai, DNS: 0.0208 sec, LOAD: 0.0046 sec.
Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0209 sec, LOAD: 0.0031 sec.
Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0121 sec, LOAD: 0.0345 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0134 sec, LOAD: 0.4327 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0005 sec, LOAD: 0.0311 sec.
```
## Question
What are possible causes for this? Does anybody have other ideas how to debug this issue?
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[GitHub] [incubator-mxnet] leezu commented on issue #17402: Cannot install
mxnet-cu101mkl with pip
Posted by GitBox <gi...@apache.org>.
leezu commented on issue #17402: Cannot install mxnet-cu101mkl with pip
URL: https://github.com/apache/incubator-mxnet/issues/17402#issuecomment-577284238
There is a bug in pip 20. Please downgrade to pip 19.
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[GitHub] [incubator-mxnet] leezu commented on issue #17402: Cannot install
mxnet-cu101mkl with pip
Posted by GitBox <gi...@apache.org>.
leezu commented on issue #17402: Cannot install mxnet-cu101mkl with pip
URL: https://github.com/apache/incubator-mxnet/issues/17402#issuecomment-577312178
https://github.com/pypa/pip/issues/7629
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[GitHub] [incubator-mxnet] bricksdont commented on issue #17402: Cannot
install mxnet-cu101mkl with pip
Posted by GitBox <gi...@apache.org>.
bricksdont commented on issue #17402: Cannot install mxnet-cu101mkl with pip
URL: https://github.com/apache/incubator-mxnet/issues/17402#issuecomment-577292774
@leezu Which bug with pip version 20 vs. 19 are you referring to?
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[GitHub] [incubator-mxnet] bricksdont commented on issue #17402: Cannot
install mxnet-cu101mkl with pip
Posted by GitBox <gi...@apache.org>.
bricksdont commented on issue #17402: Cannot install mxnet-cu101mkl with pip
URL: https://github.com/apache/incubator-mxnet/issues/17402#issuecomment-577286067
That (= a bug in my version of pip) was not the issue I think, I just realized that the machine does not have MKL installed.
If I install the version without MKL, everything is fine:
pip install mxnet-cu101
But I have no idea how I could have found out, except by trial and error.
And I did not downgrade pip:
```
% pip --version
pip 20.0.1 from /srv/scratch1/mmueller/multitutorial/env/lib/python3.7/site-packages/pip (python 3.7)
```
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[GitHub] [incubator-mxnet] leezu edited a comment on issue #17402: Cannot
install mxnet-cu101mkl with pip
Posted by GitBox <gi...@apache.org>.
leezu edited a comment on issue #17402: Cannot install mxnet-cu101mkl with pip
URL: https://github.com/apache/incubator-mxnet/issues/17402#issuecomment-577312178
https://github.com/pypa/pip/issues/7629 and related
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[GitHub] [incubator-mxnet] leezu closed issue #17402: Cannot install
mxnet-cu101mkl with pip
Posted by GitBox <gi...@apache.org>.
leezu closed issue #17402: Cannot install mxnet-cu101mkl with pip
URL: https://github.com/apache/incubator-mxnet/issues/17402
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