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klab docker image building scripts

Home Page: https://www.heywhale.com/

License: Apache License 2.0

Shell 12.60% Python 30.60% Dockerfile 56.79%
docker-image julia klab python pytorch r tensorflow

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klab-kernel's Issues

julia 基础包 support

"Distributions" => v"0.16.2"
  "StatPlots"     => v"0.8.0"
  "Query"         => v"0.9.3"
  "Missings"      => v"0.3.0"
  "PyCall"        => v"1.18.3"
  "LaTeXStrings"  => v"1.0.2"
  "IJulia"        => v"1.10.0"
  "PlotRecipes"   => v"0.3.0"
  "Flux"          => v"0.6.6"
  "Plots"         => v"0.20.1+"
  "PyPlot"        => v"2.6.2"
  "RDatasets"     => v"0.5.0"
  "Zygote"        => v"0.1.0"
  "Knet"          => v"1.0.0"
  "DataFrames"    => v"0.13.1"
  "NNlib"         => v"0.4.1"
  "Turing"        => v"0.4.4+"
  "UnicodePlots"  => v"0.3.1"
  "PlotlyJS"      => v"0.10.3+"

lxml==4.2.1

lxml-4.2.1-cp35-cp35m-manylinux1_x86_64.whl

pip3 install vowpalwabbit

依赖预先安装的软件
apt-get install libboost-program-options-dev zlib1g-dev libboost-python-dev clang make automake

update pkgs

  • librosa==0.6.1
  • python_speech_features == 0.6

原装mxnet1.1运行d2l课程脚本报错

/opt/conda/lib/python3.6/site-packages/mxnet/base.py in check_call(ret)
144 """
145 if ret != 0:
--> 146 raise MXNetError(py_str(_LIB.MXGetLastError()))
147
148

MXNetError: [10:27:25] /home/travis/build/dmlc/mxnet-distro/mxnet-build/dmlc-core/include/dmlc/./any.h:286: Check failed: type_ != nullptr The any container is empty requested=N5mxnet10Imperative6AGInfoE

Stack trace returned 10 entries:
[bt] (0) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x192112) [0x7f8c1e7ab112]
[bt] (1) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x192738) [0x7f8c1e7ab738]
[bt] (2) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x237ae9c) [0x7f8c20993e9c]
[bt] (3) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x239044e) [0x7f8c209a944e]
[bt] (4) /opt/conda/lib/python3.6/site-packages/mxnet/libmxnet.so(MXAutogradBackwardEx+0x527) [0x7f8c208e6227]
[bt] (5) /opt/conda/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7f8c4b81cec0]
[bt] (6) /opt/conda/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call+0x22d) [0x7f8c4b81c87d]
[bt] (7) /opt/conda/lib/python3.6/lib-dynload/_ctypes.cpython-36m-x86_64-linux-gnu.so(_ctypes_callproc+0x2ce) [0x7f8c4ba31dee]
[bt] (8) /opt/conda/lib/python3.6/lib-dynload/_ctypes.cpython-36m-x86_64-linux-gnu.so(+0x12825) [0x7f8c4ba32825]
[bt] (9) /opt/conda/bin/python(_PyObject_FastCallDict+0x8b) [0x562d499971bb]

paddlepaddle 0.11.0 is not compatible with tensorflow 1.6

tensorflow 1.6.0 has requirement protobuf>=3.4.0, but you'll have protobuf 3.1.0 which is incompatible.
grpcio 1.11.0 has requirement protobuf>=3.5.0.post1, but you'll have protobuf 3.1.0 which is incompatible.
tensorboard 1.6.0 has requirement protobuf>=3.4.0, but you'll have protobuf 3.1.0 which is incompatible.

nltk

pip install nltk

sympy

import sympy
sympy.sqrt(3)

mxnet incompatible

mxnet 1.1.0 has requirement numpy<=1.13.3, but you'll have numpy 1.14.2 which is incompatible.
mxnet 1.1.0 has requirement requests==2.18.4, but you'll have requests 2.11.1 which is incompatible.

pyecharts not compatible with pip 10

Collecting pyecharts==0.2.7
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/be/79/5368bd75fb5f25200fa5531344bd1ec6839534c6f1b3bdedd5292299bbed/pyecharts-0.2.7.tar.gz (7.2MB)
    Complete output from command python setup.py egg_info:
    Traceback (most recent call last):
      File "/tmp/pip-install-uc2lb6e4/pyecharts/setup.py", line 8, in <module>
        from jupyterpip import cmdclass
    ImportError: No module named 'jupyterpip'

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-install-uc2lb6e4/pyecharts/setup.py", line 13, in <module>
        pip.main(['install', 'jupyter-pip'])
    AttributeError: module 'pip' has no attribute 'main'

    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-install-uc2lb6e4/pyecharts/

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