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This repository has been archived by the owner on Nov 17, 2023. It is now read-only.
I'm getting LoadError in Julia trying to precompile MXNet on macOS 10.15.2. Interestingly installation on another macOS machine with the same versions were successful. The difference is that the machine it failed on is running off an external SSD.
Error Message
julia> using MXNet
[ Info: Precompiling MXNet [a7949054-b901-59c6-b8e3-7238c29bf7f0]
ERROR: LoadError: LoadError: IOError: open: permission denied (EACCES)
Stacktrace:
[1] uv_error at ./libuv.jl:97 [inlined]
[2] open(::String, ::UInt16, ::UInt16) at ./filesystem.jl:87
[3] touch(::String) at ./file.jl:412
[4] top-level scope at /Users/c2po/.julia/packages/MXNet/XoVCW/src/base.jl:60
[5] include at ./boot.jl:328 [inlined]
[6] include_relative(::Module, ::String) at ./loading.jl:1105
[7] include at ./Base.jl:31 [inlined]
[8] include(::String) at /Users/c2po/.julia/packages/MXNet/XoVCW/src/MXNet.jl:25
[9] top-level scope at /Users/c2po/.julia/packages/MXNet/XoVCW/src/MXNet.jl:138
[10] include at ./boot.jl:328 [inlined]
[11] include_relative(::Module, ::String) at ./loading.jl:1105
[12] include(::Module, ::String) at ./Base.jl:31
[13] top-level scope at none:2
[14] eval at ./boot.jl:330 [inlined]
[15] eval(::Expr) at ./client.jl:425
[16] top-level scope at ./none:3
in expression starting at /Users/c2po/.julia/packages/MXNet/XoVCW/src/base.jl:57
in expression starting at /Users/c2po/.julia/packages/MXNet/XoVCW/src/MXNet.jl:138
ERROR: Failed to precompile MXNet [a7949054-b901-59c6-b8e3-7238c29bf7f0] to /Users/c2po/.julia/compiled/v1.3/MXNet/Sc0jU_EdVA0.ji.
Stacktrace:
[1] error(::String) at ./error.jl:33
[2] compilecache(::Base.PkgId, ::String) at ./loading.jl:1283
[3] _require(::Base.PkgId) at ./loading.jl:1024
[4] require(::Base.PkgId) at ./loading.jl:922
[5] require(::Module, ::Symbol) at ./loading.jl:917
julia> versioninfo()
Julia Version 1.3.0
Commit 46ce4d7933 (2019-11-26 06:09 UTC)
Platform Info:
OS: macOS (x86_64-apple-darwin19.0.0)
CPU: Intel(R) Core(TM) i7-4771 CPU @ 3.50GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-6.0.1 (ORCJIT, haswell)
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
(base) c2po@orion Downloads % curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python
----------Python Info----------
Version : 3.7.5
Compiler : Clang 4.0.1 (tags/RELEASE_401/final)
Build : ('default', 'Oct 25 2019 10:52:18')
Arch : ('64bit', '')
------------Pip Info-----------
Version : 19.3.1
Directory : /Users/c2po/anaconda3/lib/python3.7/site-packages/pip
----------MXNet Info-----------
Version : 1.5.0
Directory : /Users/c2po/anaconda3/lib/python3.7/site-packages/mxnet
Num GPUs : 0
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Darwin-19.2.0-x86_64-i386-64bit
system : Darwin
node : xxx.xxx.xxx
release : 19.2.0
version : Darwin Kernel Version 19.2.0: Sat Nov 9 03:47:04 PST 2019; root:xnu-6153.61.1~20/RELEASE_X86_64
----------Hardware Info----------
machine : x86_64
processor : i386
b'machdep.cpu.brand_string: Intel(R) Core(TM) i7-4771 CPU @ 3.50GHz'
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 SMX 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 BMI1 AVX2 SMEP BMI2 ERMS INVPCID FPU_CSDS MDCLEAR IBRS STIBP L1DF SSBD'
b'machdep.cpu.extfeatures: SYSCALL XD 1GBPAGE EM64T LAHF LZCNT RDTSCP TSCI'
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0182 sec, LOAD: 0.3627 sec.
Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0006 sec, LOAD: 0.4249 sec.
Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0186 sec, LOAD: 0.1087 sec.
Timing for D2L: http://d2l.ai, DNS: 0.0125 sec, LOAD: 0.0424 sec.
Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0126 sec, LOAD: 0.0293 sec.
Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0286 sec, LOAD: 0.1458 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0112 sec, LOAD: 0.2906 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0006 sec, LOAD: 0.0718 sec.
The text was updated successfully, but these errors were encountered:
Description
I'm getting LoadError in Julia trying to precompile MXNet on macOS 10.15.2. Interestingly installation on another macOS machine with the same versions were successful. The difference is that the machine it failed on is running off an external SSD.
Error Message
Environment
We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below:
The text was updated successfully, but these errors were encountered: