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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/01/02 21:05:19 UTC
[GitHub] ylfdq1118 opened a new issue #13760: nd.slice does not return empty
tensor when begin=end
ylfdq1118 opened a new issue #13760: nd.slice does not return empty tensor when begin=end
URL: https://github.com/apache/incubator-mxnet/issues/13760
## Description
For `mxnet.ndarray.slice(data, begin, end)`, if `begin=end`, it does not return an empty tensor. Instead, it returns a tensor with the same shape as `data`.
## Environment info (Required)
----------Python Info----------
Version : 3.5.2
Compiler : GCC 5.4.0 20160609
Build : ('default', 'Nov 23 2017 16:37:01')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 18.1
Directory : /home/lingfan/.local/pythonenv/dgl/lib/python3.5/site-packages/pip
----------MXNet Info-----------
Version : 1.5.0
Directory : /home/lingfan/.local/pythonenv/dgl/lib/python3.5/site-packages/mxnet
Commit Hash : 812b06a4f29e84a068767b56afdbfd0e1408fcaf
----------System Info----------
Platform : Linux-4.4.0-1070-aws-x86_64-with-Ubuntu-16.04-xenial
system : Linux
node : ip-172-31-86-85
release : 4.4.0-1070-aws
version : #80-Ubuntu SMP Thu Oct 4 13:56:07 UTC 2018
----------Hardware Info----------
machine : x86_64
processor : x86_64
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Thread(s) per core: 2
Core(s) per socket: 4
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 79
Model name: Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz
Stepping: 1
CPU MHz: 2701.332
CPU max MHz: 3000.0000
CPU min MHz: 1200.0000
BogoMIPS: 4600.18
Hypervisor vendor: Xen
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 46080K
NUMA node0 CPU(s): 0-7
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single kaiser fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx xsaveopt
----------Network Test----------
Setting timeout: 10
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0039 sec, LOAD: 0.0274 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.2937 sec, LOAD: 0.5235 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0060 sec, LOAD: 0.0966 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0047 sec, LOAD: 0.1268 sec.
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0015 sec, LOAD: 0.4607 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0451 sec, LOAD: 0.3926 sec.
## Minimum reproducible example
```
>>> import mxnet.ndarray as nd
>>> a = nd.normal(shape=(4, 3))
>>> a
[[ 2.2122064 0.7740038 1.0434405 ]
[ 1.1839255 1.8917114 -1.2347414 ]
[-1.771029 -0.45138445 0.57938355]
[-1.856082 -1.9768796 -0.20801921]]
<NDArray 4x3 @cpu(0)>
>>> nd.slice(a, begin=0, end=0)
[[ 2.2122064 0.7740038 1.0434405 ]
[ 1.1839255 1.8917114 -1.2347414 ]
[-1.771029 -0.45138445 0.57938355]
[-1.856082 -1.9768796 -0.20801921]]
<NDArray 4x3 @cpu(0)>
>>> nd.slice(a, begin=2, end=2)
[[-1.7710290e+00 -4.5138445e-01 5.7938355e-01]
[-1.8560820e+00 -1.9768796e+00 -2.0801921e-01]
[ 0.0000000e+00 0.0000000e+00 1.8637270e-43]
[ 0.0000000e+00 3.8537848e-34 4.5786026e-41]]
<NDArray 4x3 @cpu(0)>
```
@zheng-da @jermainewang
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