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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2021/02/12 15:08:35 UTC

[GitHub] [incubator-mxnet] aarmey opened a new issue #19891: Numpy array interface does not promote bool/int types when multiplied by scalar float

aarmey opened a new issue #19891:
URL: https://github.com/apache/incubator-mxnet/issues/19891


   ## Description
   
   Multiplying a bool/int-typed array with a scalar float promotes the output type to a float in Numpy. I believe this also happens using the older MXNet interface. However, MXNet.numpy arrays retain their old type.
   
   ### Error Message
   
   There is no error message, just inconsistent behavior compared to Numpy.
   
   ## To Reproduce
   
   ```python
   import mxnet as mx
   from mxnet import numpy as np
   
   A = np.array([0, 1, 0], dtype=np.bool)
   B = np.array([0, 1, 2], dtype=np.int64)
   C = np.array([0, 1, 2], dtype=np.float64)
   
   print(A * 3.9)
   print(B * 3.9)
   print(C * 3.9)
   ```
   
   Outputs:
   
   ```
   [0 3 0]
   [0 3 6]
   [0.  3.9 7.8]
   ```
   
   ## Environment
   
   <details>
   <summary>Environment Information</summary>
   
   ----------Python Info----------
   Version      : 3.8.6
   Compiler     : GCC 9.3.0
   Build        : ('default', 'Oct 26 2020 14:01:59')
   Arch         : ('64bit', 'ELF')
   ------------Pip Info-----------
   Version      : 21.0.1
   Directory    : /usr/local/lib/python3.8/site-packages/pip
   ----------MXNet Info-----------
   Version      : 1.7.0
   Directory    : /usr/local/lib/python3.8/site-packages/mxnet
   Commit Hash   : 64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   64f737cdd59fe88d2c5b479f25d011c5156b6a8a
   Library      : ['/usr/local/lib/python3.8/site-packages/mxnet/libmxnet.so']
   Build features:
   ✖ CUDA
   ✖ CUDNN
   ✖ NCCL
   ✖ CUDA_RTC
   ✖ TENSORRT
   ✔ CPU_SSE
   ✔ CPU_SSE2
   ✔ CPU_SSE3
   ✔ CPU_SSE4_1
   ✔ CPU_SSE4_2
   ✖ CPU_SSE4A
   ✔ CPU_AVX
   ✖ CPU_AVX2
   ✔ OPENMP
   ✖ SSE
   ✔ F16C
   ✖ JEMALLOC
   ✔ BLAS_OPEN
   ✖ BLAS_ATLAS
   ✖ BLAS_MKL
   ✖ BLAS_APPLE
   ✔ LAPACK
   ✔ MKLDNN
   ✔ OPENCV
   ✖ CAFFE
   ✖ PROFILER
   ✔ DIST_KVSTORE
   ✖ CXX14
   ✖ INT64_TENSOR_SIZE
   ✔ SIGNAL_HANDLER
   ✖ DEBUG
   ✖ TVM_OP
   ----------System Info----------
   Platform     : Linux-5.8.0-41-generic-x86_64-with-glibc2.2.5
   system       : Linux
   node         : aretha
   release      : 5.8.0-41-generic
   version      : #46-Ubuntu SMP Mon Jan 18 16:48:44 UTC 2021
   ----------Hardware Info----------
   machine      : x86_64
   processor    : x86_64
   Architecture:                    x86_64
   CPU op-mode(s):                  32-bit, 64-bit
   Byte Order:                      Little Endian
   Address sizes:                   43 bits physical, 48 bits virtual
   CPU(s):                          32
   On-line CPU(s) list:             0-31
   Thread(s) per core:              2
   Core(s) per socket:              16
   Socket(s):                       1
   NUMA node(s):                    2
   Vendor ID:                       AuthenticAMD
   CPU family:                      23
   Model:                           1
   Model name:                      AMD Ryzen Threadripper 1950X 16-Core Processor
   Stepping:                        1
   Frequency boost:                 enabled
   CPU MHz:                         2561.528
   CPU max MHz:                     3400.0000
   CPU min MHz:                     2200.0000
   BogoMIPS:                        6786.49
   Virtualization:                  AMD-V
   L1d cache:                       512 KiB
   L1i cache:                       1 MiB
   L2 cache:                        8 MiB
   L3 cache:                        32 MiB
   NUMA node0 CPU(s):               0-7,16-23
   NUMA node1 CPU(s):               8-15,24-31
   Vulnerability Itlb multihit:     Not affected
   Vulnerability L1tf:              Not affected
   Vulnerability Mds:               Not affected
   Vulnerability Meltdown:          Not affected
   Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
   Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
   Vulnerability Spectre v2:        Mitigation; Full AMD retpoline, STIBP disabled, RSB filling
   Vulnerability Srbds:             Not affected
   Vulnerability Tsx async abort:   Not affected
   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 mmxext fxsr_opt
                                     pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid amd_dcm aperfmperf pni pclmulqdq monitor ssse3 fma 
                                    cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnow
                                    prefetch osvw skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb hw_pstate sme ssbd sev vmmcall fsgsba
                                    se bmi1 avx2 smep bmi2 rdseed adx smap clflushopt sha_ni xsaveopt xsavec xgetbv1 xsaves clzero irperf xsaveerptr arat npt lbrv 
                                    svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif overflow_re
                                    cov succor smca
   ----------Network Test----------
   Setting timeout: 10
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0054 sec, LOAD: 0.4757 sec.
   Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.2448 sec, LOAD: 0.2354 sec.
   Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1124)>, DNS finished in 0.970501184463501 sec.
   Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0352 sec, LOAD: 0.0971 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0439 sec, LOAD: 0.3022 sec.
   Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.16263580322265625 sec.
   ----------Environment----------
   KMP_DUPLICATE_LIB_OK="True"
   KMP_INIT_AT_FORK="FALSE"
   
   </details>
   


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[GitHub] [incubator-mxnet] aarmey commented on issue #19891: Numpy array interface does not promote bool/int types when multiplied by scalar float

Posted by GitBox <gi...@apache.org>.
aarmey commented on issue #19891:
URL: https://github.com/apache/incubator-mxnet/issues/19891#issuecomment-780797117


   Great, thanks @leezu.


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[GitHub] [incubator-mxnet] leezu commented on issue #19891: Numpy array interface does not promote bool/int types when multiplied by scalar float

Posted by GitBox <gi...@apache.org>.
leezu commented on issue #19891:
URL: https://github.com/apache/incubator-mxnet/issues/19891#issuecomment-780779074


   Hi Aaron, the Numpy interface in v1.x is experimental and contains some issues. I confirmed the bug isn't present in MXNet 2. Please consider update to v2. If that doesn't work for you and if you have time to backport the bug fix to v1.x branch that would of course be appreciated.


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[GitHub] [incubator-mxnet] github-actions[bot] commented on issue #19891: Numpy array interface does not promote bool/int types when multiplied by scalar float

Posted by GitBox <gi...@apache.org>.
github-actions[bot] commented on issue #19891:
URL: https://github.com/apache/incubator-mxnet/issues/19891#issuecomment-778251018


   Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue.
   Please make sure to include all the relevant context, and one of the @apache/mxnet-committers will be here shortly.
   If you are interested in contributing to our project, let us know! Also, be sure to check out our guide on [contributing to MXNet](https://mxnet.apache.org/community/contribute) and our [development guides wiki](https://cwiki.apache.org/confluence/display/MXNET/Developments).


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[GitHub] [incubator-mxnet] leezu edited a comment on issue #19891: Numpy array interface does not promote bool/int types when multiplied by scalar float

Posted by GitBox <gi...@apache.org>.
leezu edited a comment on issue #19891:
URL: https://github.com/apache/incubator-mxnet/issues/19891#issuecomment-780779074


   Hi Aaron, the Numpy interface in v1.x is experimental and contains some issues. I confirmed the bug isn't present in MXNet 2. I think you currently have some workarounds for this bug on v1.x. I recommend you keep them for now and the issue will be resolved once v2 is stable


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