[GitHub] [incubator-mxnet] sophros opened a new issue #18108: regression_example.jl is failing

[GitBox <gi...@apache.org>]

sophros opened a new issue #18108:
URL: https://github.com/apache/incubator-mxnet/issues/18108


   ## Description
   Invalid example.
   
   ### Error Message
   MethodError: no method matching (::MXNet.mx.var"#5784#5785")(::Float64, ::NDArray{Float32,1})
   Closest candidates are:
     #5784(::Any) at /Users/*********/.julia/packages/MXNet/XoVCW/src/metric.jl:263
   
   Stacktrace:
    [1] (::Base.var"#3#4"{MXNet.mx.var"#5784#5785"})(::Tuple{Float64,NDArray{Float32,1}}) at ./generator.jl:36
    [2] iterate at ./generator.jl:47 [inlined]
    [3] mapfoldl_impl(::Function, ::Function, ::NamedTuple{(),Tuple{}}, ::Base.Generator{Base.Iterators.Zip{Tuple{Float64,Array{NDArray{Float32,1},1}}},Base.var"#3#4"{MXNet.mx.var"#5784#5785"}}) at ./reduce.jl:55
    [4] #mapfoldl#186 at ./reduce.jl:72 [inlined]
    [5] mapfoldl at ./reduce.jl:72 [inlined]
    [6] #mapreduce#194 at ./reduce.jl:200 [inlined]
    [7] mapreduce at ./reduce.jl:200 [inlined]
    [8] #reduce#196 at ./reduce.jl:357 [inlined]
    [9] reduce(::Function, ::Base.Generator{Base.Iterators.Zip{Tuple{Float64,Array{NDArray{Float32,1},1}}},Base.var"#3#4"{MXNet.mx.var"#5784#5785"}}) at ./reduce.jl:357
    [10] #mapreduce#195(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(mapreduce), ::Function, ::Function, ::Float64, ::Vararg{Any,N} where N) at ./reduce.jl:201
    [11] mapreduce(::Function, ::Function, ::Float64, ::Array{NDArray{Float32,1},1}) at ./reduce.jl:201
    [12] get(::MSE{1}) at /Users/*********/.julia/packages/MXNet/XoVCW/src/metric.jl:263
    [13] #fit#5876(::Base.Iterators.Pairs{Symbol,Any,NTuple{5,Symbol},NamedTuple{(:initializer, :eval_metric, :eval_data, :n_epoch, :callbacks),Tuple{NormalInitializer,MSE{1},ArrayDataProvider{Float32,2},Int64,Array{MXNet.mx.BatchCallback,1}}}}, ::typeof(MXNet.mx.fit), ::FeedForward, ::ADAM, ::ArrayDataProvider{Float32,2}) at /Users/*********/.julia/packages/MXNet/XoVCW/src/model.jl:545
    [14] (::MXNet.mx.var"#kw##fit")(::NamedTuple{(:initializer, :eval_metric, :eval_data, :n_epoch, :callbacks),Tuple{NormalInitializer,MSE{1},ArrayDataProvider{Float32,2},Int64,Array{MXNet.mx.BatchCallback,1}}}, ::typeof(MXNet.mx.fit), ::FeedForward, ::ADAM, ::ArrayDataProvider{Float32,2}) at ./none:0
    [15] top-level scope at In[37]:81
   
   (Paste the complete error message. Please also include stack trace by setting environment variable `DMLC_LOG_STACK_TRACE_DEPTH=10` before running your script.)
   
   ## To Reproduce
   (If you developed your own code, please provide a short script that reproduces the error. For existing examples, please provide link.)
   
   ### Steps to reproduce
   (Paste the commands you ran that produced the error.)
   
   1. Download example
   2. Install dependencies
   3. Run it.
   
   ## What have you tried to solve it?
   
   1. Finding the matching function.
   2. No luck
   
   ## 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
   
   # paste outputs here
   ```
   ----------Python Info----------
   Version      : 3.8.2
   Compiler     : Clang 4.0.1 (tags/RELEASE_401/final)
   Build        : ('default', 'Mar 26 2020 10:43:30')
   Arch         : ('64bit', '')
   ------------Pip Info-----------
   Version      : 20.0.2
   Directory    : /Users/*********/dev/miniconda3/envs/julia/lib/python3.8/site-packages/pip
   ----------MXNet Info-----------
   No MXNet installed.
   ----------System Info----------
   Platform     : macOS-10.14.6-x86_64-i386-64bit
   system       : Darwin
   node         : PLC02ZM5Q4LVDQ
   release      : 18.7.0
   version      : Darwin Kernel Version 18.7.0: Mon Feb 10 21:08:45 PST 2020; root:xnu-4903.278.28~1/RELEASE_X86_64
   ----------Hardware Info----------
   machine      : x86_64
   processor    : i386
   b'machdep.cpu.brand_string: Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz'
   b'machdep.cpu.features: FPU VME DE PSE TSC MSR PAE MCE CX8 APIC SEP MTRR PGE MCA CMOV PAT PSE36 CLFSH DS ACPI MMX FXSR SSE SSE2 SS HTT TM PBE SSE3 PCLMULQDQ DTES64 MON DSCPL VMX EST TM2 SSSE3 FMA CX16 TPR PDCM SSE4.1 SSE4.2 x2APIC MOVBE POPCNT AES PCID XSAVE OSXSAVE SEGLIM64 TSCTMR AVX1.0 RDRAND F16C'
   b'machdep.cpu.leaf7_features: RDWRFSGS TSC_THREAD_OFFSET SGX BMI1 AVX2 SMEP BMI2 ERMS INVPCID FPU_CSDS MPX RDSEED ADX SMAP CLFSOPT IPT SGXLC MDCLEAR TSXFA IBRS STIBP L1DF SSBD'
   b'machdep.cpu.extfeatures: SYSCALL XD 1GBPAGE EM64T LAHF LZCNT PREFETCHW RDTSCP TSCI'
   ----------Network Test----------
   Setting timeout: 10
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0065 sec, LOAD: 0.7260 sec.
   Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0006 sec, LOAD: 0.5347 sec.
   Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0009 sec, LOAD: 0.1945 sec.
   Timing for D2L: http://d2l.ai, DNS: 0.0008 sec, LOAD: 0.0621 sec.
   Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0010 sec, LOAD: 0.4165 sec.
   Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0009 sec, LOAD: 0.1366 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0638 sec, LOAD: 0.8739 sec.
   Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.0006110668182373047 sec.
   ```


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