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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/08/27 19:10:36 UTC

[GitHub] [incubator-mxnet] karan6181 opened a new issue #19027: mx.nd.argsort() output is different on CPU and GPU

karan6181 opened a new issue #19027:
URL: https://github.com/apache/incubator-mxnet/issues/19027


   ## Description
   The `mx.nd.argsort()` output is different on CPU and GPU for certain edge cases
   
   ## Script
   ```python
   import mxnet as mx
   import numpy as np
   def get_array(row, col):
       return [[float(1.0) if k<=2 else float(0.0) for k in range(col)] for _ in range(row)]
   
   x = get_array(4, 4)
   y = get_array(4, 4)
   a_cpu = mx.nd.array(x, ctx=mx.cpu())
   a_gpu = mx.nd.array(y, ctx=mx.gpu())
   print("======================= Input ============================")
   print(a_cpu)
   print("======================= MXNet Ascending order ============================")
   print("CPU: ", a_cpu.argsort(axis=1, is_ascend=True))
   print("GPU: ", a_gpu.argsort(axis=1, is_ascend=True))
   print("======================= MXNet Descending order ============================")
   print("CPU: ", a_cpu.argsort(axis=1, is_ascend=False))
   print("GPU: ", a_gpu.argsort(axis=1, is_ascend=False))
   print("======================= Numpy ============================")
   a_cpu_np = a_cpu.asnumpy()
   print("CPU: \n", np.argsort(a_cpu.asnumpy(), axis=1))
   ```
   
   ### Output
   
   ```bash
   ======================= Input ============================
   
   [[1. 1. 1. 0.]
    [1. 1. 1. 0.]
    [1. 1. 1. 0.]
    [1. 1. 1. 0.]]
   <NDArray 4x4 @cpu(0)>
   ======================= MXNet Ascending order ============================
   CPU:
   [[3. 0. 1. 2.]
    [3. 0. 1. 2.]
    [3. 0. 1. 2.]
    [3. 0. 1. 2.]]
   <NDArray 4x4 @cpu(0)>
   GPU:
   [[3. 0. 2. 1.]
    [3. 0. 2. 1.]
    [3. 0. 2. 1.]
    [3. 0. 2. 1.]]
   <NDArray 4x4 @gpu(0)>
   ======================= MXNet Descending order ============================
   CPU:
   [[0. 1. 2. 3.]
    [0. 1. 2. 3.]
    [0. 1. 2. 3.]
    [0. 1. 2. 3.]]
   <NDArray 4x4 @cpu(0)>
   GPU:
   [[0. 2. 1. 3.]
    [0. 2. 1. 3.]
    [0. 2. 1. 3.]
    [0. 2. 1. 3.]]
   <NDArray 4x4 @gpu(0)>
   ======================= Numpy ============================
   CPU:
    [[3 0 1 2]
    [3 0 1 2]
    [3 0 1 2]
    [3 0 1 2]]
   ```
   
   ## 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      : 3.8.3
   Compiler     : GCC 7.3.0
   Build        : ('default', 'May 19 2020 18:47:26')
   Arch         : ('64bit', 'ELF')
   ------------Pip Info-----------
   Version      : 20.0.2
   Directory    : /shared/mxnet_env/lib/python3.8/site-packages/pip
   ----------MXNet Info-----------
   Version      : 1.6.0
   Directory    : /shared/mxnet_env/lib/python3.8/site-packages/mxnet
   Num GPUs     : 8
   Commit Hash   : 6eec9da55c5096079355d1f1a5fa58dcf35d6752
   ----------System Info----------
   Platform     : Linux-4.15.0-1060-aws-x86_64-with-glibc2.10
   system       : Linux
   node         : ip-192-168-70-218
   release      : 4.15.0-1060-aws
   version      : #62-Ubuntu SMP Tue Feb 11 21:23:22 UTC 2020
   ----------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):              96
   On-line CPU(s) list: 0-95
   Thread(s) per core:  2
   Core(s) per socket:  24
   Socket(s):           2
   NUMA node(s):        2
   Vendor ID:           GenuineIntel
   CPU family:          6
   Model:               85
   Model name:          Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz
   Stepping:            4
   CPU MHz:             1201.597
   BogoMIPS:            4999.99
   Hypervisor vendor:   KVM
   Virtualization type: full
   L1d cache:           32K
   L1i cache:           32K
   L2 cache:            1024K
   L3 cache:            33792K
   NUMA node0 CPU(s):   0-23,48-71
   NUMA node1 CPU(s):   24-47,72-95
   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 syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq monitor 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 pti fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves ida arat pku ospke
   ----------Network Test----------
   Setting timeout: 10
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0040 sec, LOAD: 0.6617 sec.
   Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0009 sec, LOAD: 0.3580 sec.
   Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0347 sec, LOAD: 0.1685 sec.
   Timing for D2L: http://d2l.ai, DNS: 0.1150 sec, LOAD: 0.0382 sec.
   Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.1203 sec, LOAD: 0.2038 sec.
   Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0773 sec, LOAD: 0.3685 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0024 sec, LOAD: 0.0772 sec.
   Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.02059340476989746 sec.
   ```
   


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[GitHub] [incubator-mxnet] sandeep-krishnamurthy commented on issue #19027: mx.nd.argsort() output is different on CPU and GPU

Posted by GitBox <gi...@apache.org>.
sandeep-krishnamurthy commented on issue #19027:
URL: https://github.com/apache/incubator-mxnet/issues/19027#issuecomment-683349911


   Thank you both.


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[GitHub] [incubator-mxnet] sandeep-krishnamurthy commented on issue #19027: mx.nd.argsort() output is different on CPU and GPU

Posted by GitBox <gi...@apache.org>.
sandeep-krishnamurthy commented on issue #19027:
URL: https://github.com/apache/incubator-mxnet/issues/19027#issuecomment-683173399


   > argsort does not guarantee to be stable.
   
   @szha => Can you please elaborate what it means?


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[GitHub] [incubator-mxnet] marcoabreu commented on issue #19027: mx.nd.argsort() output is different on CPU and GPU

Posted by GitBox <gi...@apache.org>.
marcoabreu commented on issue #19027:
URL: https://github.com/apache/incubator-mxnet/issues/19027#issuecomment-683334533


   See the "Notes" section here: https://numpy.org/doc/stable/reference/generated/numpy.sort.html


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[GitHub] [incubator-mxnet] sandeep-krishnamurthy closed issue #19027: mx.nd.argsort() output is different on CPU and GPU

Posted by GitBox <gi...@apache.org>.
sandeep-krishnamurthy closed issue #19027:
URL: https://github.com/apache/incubator-mxnet/issues/19027


   


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[GitHub] [incubator-mxnet] szha commented on issue #19027: mx.nd.argsort() output is different on CPU and GPU

Posted by GitBox <gi...@apache.org>.
szha commented on issue #19027:
URL: https://github.com/apache/incubator-mxnet/issues/19027#issuecomment-682170300


   argsort does not guarantee to be stable.


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[GitHub] [incubator-mxnet] szha commented on issue #19027: mx.nd.argsort() output is different on CPU and GPU

Posted by GitBox <gi...@apache.org>.
szha commented on issue #19027:
URL: https://github.com/apache/incubator-mxnet/issues/19027#issuecomment-683175415


   Unstable sort means for equal values the output order doesn't preserve the input orders


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[GitHub] [incubator-mxnet] szha closed issue #19027: mx.nd.argsort() output is different on CPU and GPU

Posted by GitBox <gi...@apache.org>.
szha closed issue #19027:
URL: https://github.com/apache/incubator-mxnet/issues/19027


   


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