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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/01/16 15:28:15 UTC

[GitHub] [incubator-mxnet] kshitij12345 opened a new issue #17342: [bug] Indexed Assignment Incorrect

kshitij12345 opened a new issue #17342: [bug] Indexed Assignment Incorrect
URL: https://github.com/apache/incubator-mxnet/issues/17342
 
 
   ## Description
   Incorrect output when assigning with mask_array
   
   ## To Reproduce
   ```python
   import mxnet as mx
   import numpy as np
   
   def test_replace(array_constructor):
       array = [[0.0, 2]]
       x = array_constructor(array)
       zero_mask = x == 0.0
       print(zero_mask)
       x[zero_mask] = 1e-6
       print(x)
   
   test_replace(mx.nd.array)
   print('*' * 8)
   test_replace(np.array)
   ```
   
   ## Output
   ```
   [[1. 0.]]
   <NDArray 1x2 @cpu(0)>
   
   [[1.e-06 1.e-06]]
   <NDArray 1x2 @cpu(0)>
   ********
   [[ True False]]
   [[1.e-06 2.e+00]]
   ```
   
   ## 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      : 3.6.8
   Compiler     : GCC 7.3.0
   Build        : ('default', 'Dec 30 2018 01:22:34')
   Arch         : ('64bit', '')
   ------------Pip Info-----------
   Version      : 19.3.1
   Directory    : /home/user/Desktop/Repositories/mxnet/ENV/lib/python3.6/site-packages/pip
   ----------MXNet Info-----------
   Version      : 1.6.0
   Directory    : /home/user/Desktop/Repositories/mxnet/incubator-mxnet/python/mxnet
   Num GPUs     : 1
   Hashtag not found. Not installed from pre-built package.
   ----------System Info----------
   Platform     : Linux-4.15.0-74-generic-x86_64-with-debian-buster-sid
   system       : Linux
   node         : user-Predator-PH315-51
   release      : 4.15.0-74-generic
   version      : #84-Ubuntu SMP Thu Dec 19 08:06:28 UTC 2019
   ----------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:               158
   Model name:          Intel(R) Core(TM) i5-8300H CPU @ 2.30GHz
   Stepping:            10
   CPU MHz:             840.639
   CPU max MHz:         4000.0000
   CPU min MHz:         800.0000
   BogoMIPS:            4608.00
   Virtualization:      VT-x
   L1d cache:           32K
   L1i cache:           32K
   L2 cache:            256K
   L3 cache:            8192K
   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 dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb invpcid_single pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp md_clear flush_l1d
   ----------Network Test----------
   Setting timeout: 10
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0176 sec, LOAD: 0.9623 sec.
   Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0012 sec, LOAD: 0.7134 sec.
   Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.3052 sec, LOAD: 1.1265 sec.
   Timing for D2L: http://d2l.ai, DNS: 0.0560 sec, LOAD: 0.3511 sec.
   Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0683 sec, LOAD: 0.3417 sec.
   Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0578 sec, LOAD: 1.0116 sec.
   ```
   

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[GitHub] [incubator-mxnet] kshitij12345 commented on issue #17342: [bug] Incorrect Indexed Assignment

Posted by GitBox <gi...@apache.org>.
kshitij12345 commented on issue #17342: [bug] Incorrect Indexed Assignment
URL: https://github.com/apache/incubator-mxnet/issues/17342#issuecomment-579295873
 
 
   @haojin2 
   Noted.
   
   However shouldn't there be some sort of deprecation warning or anything. Cause right now it silently computes the incorrect result.

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[GitHub] [incubator-mxnet] haojin2 commented on issue #17342: [bug] Incorrect Indexed Assignment

Posted by GitBox <gi...@apache.org>.
haojin2 commented on issue #17342: [bug] Incorrect Indexed Assignment
URL: https://github.com/apache/incubator-mxnet/issues/17342#issuecomment-575365086
 
 
   @kshitij12345 This has been addressed in the new `np` module:
   ```python
   from mxnet import np, npx
   npx.set_np()
   import numpy as onp
   
   def test_replace(array_constructor):
       array = [[0.0, 2]]
       x = array_constructor(array)
       zero_mask = x == 0.0
       print(zero_mask)
       x[zero_mask] = 1e-6
       print(x)
   
   test_replace(np.array)
   print('*' * 8)
   test_replace(onp.array)
   ```
   running this on the latest master:
   ```
   [[ True False]]
   [[1.e-06 2.e+00]]
   ********
   [[ True False]]
   [[1.e-06 2.e+00]]
   ```

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To respond to the message, please log on to GitHub and use the
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