topic Someone else ? in Intel® Distribution for Python*

ImportError: DLL load failed

abarb — Tue, 26 Mar 2019 19:21:17 GMT

    from sklearn.svm import SVR
  File "d:\intelpython3\lib\site-packages\sklearn\__init__.py", line 82, in <module>
    from .daal4sklearn import dispatcher
  File "d:\intelpython3\lib\site-packages\sklearn\daal4sklearn\__init__.py", line 1, in <module>
    from .decision_forest import (DaalRandomForestClassifier, DaalRandomForestRegressor)
  File "d:\intelpython3\lib\site-packages\sklearn\daal4sklearn\decision_forest.py", line 6, in <module>
    import daal4py
  File "d:\intelpython3\lib\site-packages\daal4py\__init__.py", line 2, in <module>
    from _daal4py import *
ImportError: DLL load failed

I have LAtest python Intel distribution but I get this Error.

If I update the daal4py & scikit-learn (out from intel repository) I get warning of compatibility...

Someone else ?

abarb — Wed, 03 Apr 2019 13:14:53 GMT

Someone else ?

Hi Andre,

Frank_S_Intel — Wed, 03 Apr 2019 13:40:21 GMT

Hi Andre,

the dll load problem is most likely an issue with the MPI package.

However, the latest version should have this fixed. What's the exact warning you get?

frank

Quote:Frank Schlimbach (Intel

abarb — Wed, 03 Apr 2019 14:00:32 GMT

Frank Schlimbach (Intel) wrote:
Hi Andre,
the dll load problem is most likely an issue with the MPI package.
However, the latest version should have this fixed. What's the exact warning you get?

frank

Thanks for answer me, Frank.

I forced the update of scikit-learn and seem that work Now (but before I got error and incompatibilities) :

conda update scikit-learn
Solving environment: done

## Package Plan ##

  environment location: d:\intelpython3

  added / updated specs:
    - scikit-learn


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    conda-4.6.9                |           py36_0         1.7 MB

The following packages will be UPDATED:

    conda:        4.5.13-py36_0            --> 4.6.9-py36_0
    llvmlite:     0.25.0-py36_2      intel --> 0.27.1-py36_0         intel
    menuinst:     1.4.1-py36_6       intel --> 1.4.14-py36hfa6e2cd_0
    numba:        0.40.0-np115py36_3 intel --> 0.42.1-np116py36_0    intel
    numpy:        1.15.4-py36_2      intel --> 1.16.1-py36h7b7c402_3 intel
    numpy-base:   1.15.4-py36_2      intel --> 1.16.1-py36_3         intel
    pytables:     3.4.3-np115py36_6  intel --> 3.4.4-py36he6f6034_0
    scikit-learn: 0.20.0-py36_17     intel --> 0.20.2-py36h7b7c402_2 intel
    scipy:        1.1.0-np115py36_7  intel --> 1.2.0-py36_3          intel

The following packages will be DOWNGRADED:

    hdf5:         1.10.3-vc14_0      intel [vc14] --> 1.10.2-vc14_2         intel [vc14]

However , the Conda Update

abarb — Wed, 03 Apr 2019 14:04:46 GMT

However , the Conda Update want DOWNGRADE !!! :

conda update --all
Collecting package metadata: done
Solving environment: done

## Package Plan ##

  environment location: d:\intelpython3


The following packages will be UPDATED:

  hdf5                                        1.10.2-vc14_2 --> 1.10.3-vc14_0

The following packages will be SUPERSEDED by a higher-priority channel:

  pytables           pkgs/main::pytables-3.4.4-py36he6f603~ --> intel::pytables-3.4.3-np115py36_6

The following packages will be DOWNGRADED:

  llvmlite                                    0.27.1-py36_0 --> 0.25.0-py36_2
  numba                                  0.42.1-np116py36_0 --> 0.40.0-np115py36_3
  numpy                               1.16.1-py36h7b7c402_3 --> 1.15.4-py36_2
  numpy-base                                  1.16.1-py36_3 --> 1.15.4-py36_2
  scikit-learn                        0.20.2-py36h7b7c402_2 --> 0.20.0-py36_17
  scipy                                        1.2.0-py36_3 --> 1.1.0-np115py36_7


Proceed (/n)? n


CondaSystemExit: Exiting.

Hi Andre,

Oleksandr_P_Intel — Wed, 03 Apr 2019 14:29:38 GMT

Hi Andre,

Could you please share the output of conda list --explicit for us to be able to replicate your environment and look into the problem.

I was able to successfully create an environment using

conda create -n daal4py -c intel --override-channels python=3.6 scikit-learn ipython

This included MPI, and I could import sklearn just fine.

Hi Oleksandr, my output :

abarb — Wed, 03 Apr 2019 14:39:47 GMT

Hi Oleksandr, my output :

conda list --explicit
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: win-64
@EXPLICIT
https://repo.continuum.io/pkgs/main/win-64/conda-env-2.6.0-1.tar.bz2
https://conda.anaconda.org/intel/win-64/icc_rt-2019.3-intel_203.tar.bz2
https://conda.anaconda.org/intel/win-64/impi_rt-2019.3-intel_203.tar.bz2
https://conda.anaconda.org/intel/win-64/intel-openmp-2019.3-intel_203.tar.bz2
https://conda.anaconda.org/intel/win-64/intelpython-2019.3-0.tar.bz2
https://conda.anaconda.org/intel/win-64/vs2015_runtime-14.0.25420-intel_2.tar.bz2
https://conda.anaconda.org/intel/win-64/vc-14.0-2.tar.bz2
https://conda.anaconda.org/intel/win-64/bzip2-1.0.6-vc14_17.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/lzo-2.10-h6df0209_2.tar.bz2
https://conda.anaconda.org/intel/win-64/openssl-1.0.2r-vc14_0.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/snappy-1.1.7-h777316e_3.tar.bz2
https://conda.anaconda.org/intel/win-64/sqlite-3.27.2-vc14_2.tar.bz2
https://conda.anaconda.org/intel/win-64/tbb-2019.4-vc14_intel_203.tar.bz2
https://conda.anaconda.org/intel/win-64/tcl-8.6.4-vc14_22.tar.bz2
https://conda.anaconda.org/intel/win-64/tk-8.6.4-vc14_28.tar.bz2
https://conda.anaconda.org/intel/win-64/xz-5.2.3-vc14_2.tar.bz2
https://repo.continuum.io/pkgs/main/win-64/yaml-0.1.7-hc54c509_2.tar.bz2
https://conda.anaconda.org/intel/win-64/zlib-1.2.11-vc14h21ff451_5.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/blosc-1.14.4-he51fdeb_0.tar.bz2
https://conda.anaconda.org/intel/win-64/daal-2019.3-intel_203.tar.bz2
https://conda.anaconda.org/intel/win-64/hdf5-1.10.2-vc14_2.tar.bz2
https://conda.anaconda.org/intel/win-64/libpng-1.6.36-vc14_2.tar.bz2
https://conda.anaconda.org/intel/win-64/mkl-2019.3-intel_203.tar.bz2
https://conda.anaconda.org/intel/win-64/python-3.6.8-6.tar.bz2
https://conda.anaconda.org/intel/win-64/freetype-2.9-vc14_3.tar.bz2
https://repo.continuum.io/pkgs/main/win-64/pywin32-223-py36hfa6e2cd_1.tar.bz2
https://repo.continuum.io/pkgs/main/win-64/menuinst-1.4.14-py36hfa6e2cd_0.tar.bz2
https://conda.anaconda.org/intel/win-64/asn1crypto-0.24.0-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/backcall-0.1.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/backports-1.0-py36_9.tar.bz2
https://conda.anaconda.org/intel/win-64/certifi-2018.1.18-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/chardet-3.0.4-py36_3.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/click-7.0-py36_0.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/cloudpickle-0.8.0-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/colorama-0.3.9-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/cython-0.29.3-py36_1.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/dask-core-1.1.4-py36_1.tar.bz2
https://conda.anaconda.org/intel/win-64/decorator-4.3.0-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/entrypoints-0.2.3-py36_2.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/heapdict-1.0.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/idna-2.6-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/ipython_genutils-0.2.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/jsonschema-2.6.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/kiwisolver-1.0.1-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/llvmlite-0.27.1-py36_0.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/locket-0.2.0-py36hfed976d_1.tar.bz2
https://conda.anaconda.org/intel/win-64/markupsafe-1.0-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/mistune-0.8.3-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/mpi4py-3.0.0-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/mpmath-1.0.0-py36_2.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/msgpack-python-0.5.6-py36he980bc4_1.tar.bz2
https://conda.anaconda.org/intel/win-64/nose-1.3.7-py36_18.tar.bz2
https://conda.anaconda.org/intel/win-64/pandocfilters-1.4.1-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/parso-0.2.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/path.py-11.0.1-py36_2.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/psutil-5.4.7-py36hfa6e2cd_0.tar.bz2
https://conda.anaconda.org/intel/win-64/pycosat-0.6.3-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/pycparser-2.18-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/pygments-2.2.0-py36_5.tar.bz2
https://conda.anaconda.org/intel/win-64/pyparsing-2.2.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/pytz-2018.4-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/pyyaml-4.1-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/pyzmq-16.0.2-py36_6.tar.bz2
https://conda.anaconda.org/intel/win-64/ruamel_yaml-0.11.14-py36_4.tar.bz2
https://conda.anaconda.org/intel/win-64/simplegeneric-0.8.1-py36_7.tar.bz2
https://conda.anaconda.org/intel/win-64/six-1.11.0-py36_3.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/sortedcontainers-2.1.0-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/tbb4py-2019.4-py36_intel_0.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/tblib-1.3.2-py36h30f5020_0.tar.bz2
https://conda.anaconda.org/intel/win-64/testpath-0.3.1-py36_2.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/toolz-0.9.0-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/tornado-4.5.2-py36_5.tar.bz2
https://conda.anaconda.org/intel/win-64/wcwidth-0.1.7-py36_6.tar.bz2
https://conda.anaconda.org/intel/win-64/webencodings-0.5.1-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/win_inet_pton-1.0.1-py36_4.tar.bz2
https://conda.anaconda.org/intel/win-64/win_unicode_console-0.5-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/wincertstore-0.2-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/cffi-1.11.5-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/cycler-0.10.0-py36_7.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/cytoolz-0.9.0.1-py36hfa6e2cd_1.tar.bz2
https://conda.anaconda.org/intel/win-64/get_terminal_size-1.0.0-py36_7.tar.bz2
https://conda.anaconda.org/intel/win-64/html5lib-1.0.1-py36_4.tar.bz2
https://conda.anaconda.org/intel/win-64/jedi-0.12.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/numpy-base-1.16.1-py36_3.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/packaging-19.0-py36_0.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/partd-0.3.10-py36_1.tar.bz2
https://conda.anaconda.org/intel/win-64/pickleshare-0.7.4-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/prompt_toolkit-1.0.15-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/pysocks-1.6.7-py36_1.tar.bz2
https://conda.anaconda.org/intel/win-64/python-dateutil-2.6.0-py36_12.tar.bz2
https://conda.anaconda.org/intel/win-64/setuptools-39.0.1-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/sympy-1.3-py36_1.tar.bz2
https://conda.anaconda.org/intel/win-64/traitlets-4.3.2-py36_3.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/zict-0.1.4-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/bleach-2.1.3-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/cryptography-2.3-py36_1.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/distributed-1.26.0-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/ipython-6.3.1-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/jinja2-2.9.6-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/jupyter_core-4.4.0-py36_6.tar.bz2
https://conda.anaconda.org/intel/win-64/wheel-0.31.0-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/jupyter_client-5.1.0-py36_5.tar.bz2
https://conda.anaconda.org/intel/win-64/nbformat-4.4.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/pip-10.0.1-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/pyopenssl-17.5.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/ipykernel-4.6.1-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/nbconvert-5.2.1-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/urllib3-1.24.1-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/ipyparallel-6.0.2-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/jupyter_console-5.1.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/notebook-5.2.2-py36_1.tar.bz2
https://conda.anaconda.org/intel/win-64/requests-2.20.1-py36_1.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/conda-4.6.9-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/widgetsnbextension-3.2.0-py36_1.tar.bz2
https://conda.anaconda.org/intel/win-64/ipywidgets-7.0.0-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/jupyter-1.0.0-py36_7.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/bokeh-0.13.0-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/daal4py-2019.3-py36h7b7c402_6.tar.bz2
https://conda.anaconda.org/intel/win-64/matplotlib-2.2.3-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/mkl-service-1.0.0-py36_7.tar.bz2
https://conda.anaconda.org/intel/win-64/mkl_fft-1.0.6-py36_2.tar.bz2
https://conda.anaconda.org/intel/win-64/mkl_random-1.0.2-py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/numpy-1.16.1-py36h7b7c402_3.tar.bz2
https://conda.anaconda.org/intel/win-64/numba-0.42.1-np116py36_0.tar.bz2
https://conda.anaconda.org/intel/win-64/numexpr-2.6.8-py36_1.tar.bz2
https://conda.anaconda.org/intel/win-64/scipy-1.2.0-py36_3.tar.bz2
https://conda.anaconda.org/intel/win-64/pandas-0.23.4-py36_4.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/pytables-3.4.4-py36he6f6034_0.tar.bz2
https://conda.anaconda.org/intel/win-64/scikit-learn-0.20.2-py36h7b7c402_2.tar.bz2
https://repo.anaconda.com/pkgs/main/win-64/dask-1.1.4-py36_1.tar.bz2

Quote:Oleksandr P. (Intel)

abarb — Wed, 03 Apr 2019 14:43:50 GMT

Oleksandr P. (Intel) wrote:
Hi Andre,
Could you please share the output of conda list --explicit for us to be able to replicate your environment and look into the problem.
I was able to successfully create an environment using
conda create -n daal4py -c intel --override-channels python=3.6 scikit-learn ipython
This included MPI, and I could import sklearn just fine.

with "conda update scikit-learn" I could import sklearn but Now conda want Update with DOWNGRADE :

conda update --all
Collecting package metadata: done
Solving environment: done

## Package Plan ##

  environment location: d:\intelpython3


The following packages will be UPDATED:

  hdf5                                        1.10.2-vc14_2 --> 1.10.3-vc14_0

The following packages will be SUPERSEDED by a higher-priority channel:

  pytables           pkgs/main::pytables-3.4.4-py36he6f603~ --> intel::pytables-3.4.3-np115py36_6

The following packages will be DOWNGRADED:

  llvmlite                                    0.27.1-py36_0 --> 0.25.0-py36_2
  numba                                  0.42.1-np116py36_0 --> 0.40.0-np115py36_3
  numpy                               1.16.1-py36h7b7c402_3 --> 1.15.4-py36_2
  numpy-base                                  1.16.1-py36_3 --> 1.15.4-py36_2
  scikit-learn                        0.20.2-py36h7b7c402_2 --> 0.20.0-py36_17
  scipy                                        1.2.0-py36_3 --> 1.1.0-np115py36_7


Proceed (/n)? n


CondaSystemExit: Exiting.

Andre,

Todd_T_Intel — Wed, 03 Apr 2019 14:55:00 GMT

Andre,

Thank you. Please also include the output of "conda info" so we can see your channels configuration. That will help us troubleshoot the upgrade/downgrade problem.

Todd

Citação:Todd T. (Intel)

abarb — Wed, 03 Apr 2019 15:02:36 GMT

Todd T. (Intel) wrote:
Andre,
Thank you. Please also include the output of "conda info" so we can see your channels configuration. That will help us troubleshoot the upgrade/downgrade problem.
Todd

Hello Todd , Long time no talk, longing for our conversations.

conda info

     active environment : None
       user config file : C:\Users\andre\.condarc
 populated config files : C:\Users\andre\.condarc
          conda version : 4.6.9
    conda-build version : not installed
         python version : 3.6.8.final.0
       base environment : d:\intelpython3  (writable)
           channel URLs : https://conda.anaconda.org/intel/win-64
                          https://conda.anaconda.org/intel/noarch
                          https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/free/win-64
                          https://repo.anaconda.com/pkgs/free/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : d:\intelpython3\pkgs
                          C:\Users\andre\.conda\pkgs
                          C:\Users\andre\AppData\Local\conda\conda\pkgs
       envs directories : d:\intelpython3\envs
                          C:\Users\andre\.conda\envs
                          C:\Users\andre\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/4.6.9 requests/2.20.1 CPython/3.6.8 Windows/10 Windows/10.0.18865
          administrator : False
             netrc file : None
           offline mode : False

@Todd , how are you ? I hope

abarb — Thu, 25 Apr 2019 17:19:37 GMT

@Todd , how are you ? I hope well... no more answer. I updated everything and now intel python worked. Perhaps the last conda notify show :

The following packages will be UPDATED:

  cloudpickle        pkgs/main/win-64::cloudpickle-0.8.0-p~ --> pkgs/main/noarch::cloudpickle-0.8.1-py_0


Proceed (/n)? n

yes or no ?! because one win64 --> noArch !!

Andre,

Todd_T_Intel — Thu, 25 Apr 2019 17:59:44 GMT

Andre,

The reason for the downgrading of numpy, numba, and a few other packages is the downgrade of pytables from 3.4.4 to 3.4.3. The pytables package on the Intel channel was built with older numpy (1.15.4), so when your channel priority settings prefer pytables from the Intel channel, it must use numpy 1.15.4.

From my experience with conda, using "update --all" can produce unexpected results, like the "downgrade" you saw. I almost never use it now, preferring to install the specific versions I want, or update specific packages. I always need to watch carefully the list of package changes before accepting what conda proposes. To prevent an initially proposed downgrade, you can specify the version you want on the "conda install" command line (you cannot specify versions with "conda update", so I prefer "conda install").

As for the change from "win-64" to "noarch", that should have no impact. They must have more correctly classified that package as pure python, and thus applicable to all architectures (noarch) rather than need a separate package for Windows, Linux, and Mac.

Todd

Thanks for answer, Todd. I

abarb — Thu, 25 Apr 2019 18:04:33 GMT

Thanks for answer, Todd. I know that what I do always "conda update --all" is not good, but then what must I do to update the distribution after it is installed ? Have a good day.

Andre

Hello -

mcdonald__shawn — Thu, 30 Apr 2020 19:36:08 GMT

Hello -

I am also getting a .dll error when loading:

import daal4py.sklearn
daal4py.sklearn.patch_sklearn()

conda list

# packages in environment at C:\Users\ShawnDMcDonald\.conda\envs\fdbk-conda:
#
# Name Version Build Channel
absl-py 0.9.0 pypi_0 pypi
alembic 1.4.2 pypi_0 pypi
astor 0.8.1 pypi_0 pypi
astroid 2.3.3 py37_0
azure-core 1.4.0 pypi_0 pypi
azure-storage-blob 12.3.1 pypi_0 pypi
bzip2 1.0.8 vc14_1 [vc14] intel
cachetools 4.1.0 pypi_0 pypi
certifi 2019.11.28 py37_0 intel
cffi 1.14.0 pypi_0 pypi
chardet 3.0.4 pypi_0 pypi
collections-extended 1.0.3 pypi_0 pypi
colorama 0.4.3 py_0
cryptography 2.9.2 pypi_0 pypi
cycler 0.10.0 pypi_0 pypi
daal 2020.1 intel_216 intel
daal4py 2020.1 py37ha68da19_0 intel
gast 0.2.2 pypi_0 pypi
geos 3.6.2 h9ef7328_2
google-auth 1.14.1 pypi_0 pypi
google-auth-oauthlib 0.4.1 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
graphviz 2.38 hfd603c8_2
grpcio 1.28.1 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
icc_rt 2020.1 intel_216 intel
idna 2.8 pypi_0 pypi
imbalanced-learn 0.6.2 pypi_0 pypi
imblearn 0.0 pypi_0 pypi
impi_rt 2019.7 intel_216 intel
imutils 0.5.3 pypi_0 pypi
intel-openmp 2020.1 intel_216 intel
intelpython 2020.1 0 intel
isodate 0.6.0 pypi_0 pypi
isort 4.3.21 py37_0
jinja2 2.10.1 pypi_0 pypi
joblib 0.13.2 py37_1 intel
keras 2.3.1 pypi_0 pypi
keras-applications 1.0.8 pypi_0 pypi
keras-preprocessing 1.1.0 pypi_0 pypi
keyboard 0.13.5 pypi_0 pypi
kiwisolver 1.2.0 pypi_0 pypi
labelimg 1.8.3 pypi_0 pypi
lazy-object-proxy 1.3.1 py37hfa6e2cd_2
lxml 4.5.0 pypi_0 pypi
mako 1.1.2 pypi_0 pypi
markdown 3.2.1 pypi_0 pypi
markupsafe 1.1.1 pypi_0 pypi
matplotlib 3.2.1 pypi_0 pypi
mccabe 0.6.1 py37_1
mkl 2020.1 intel_216 intel
mkl-service 2.3.0 py37_0 intel
mkl_fft 1.1.0 py37ha68da19_0 intel
mkl_random 1.1.0 py37ha68da19_0 intel
msrest 0.6.13 pypi_0 pypi
numpy 1.17.5 py37ha68da19_1 intel
numpy-base 1.17.5 py37_1 intel
oauthlib 3.1.0 pypi_0 pypi
opencv-python 4.2.0.34 pypi_0 pypi
openssl 1.1.1d vc14_1 [vc14] intel
opt-einsum 3.2.1 pypi_0 pypi
packaging 20.3 pypi_0 pypi
pandas 1.0.3 pypi_0 pypi
pillow 7.1.1 pypi_0 pypi
pip 19.3.1 py37_2 intel
protobuf 3.11.3 pypi_0 pypi
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycparser 2.20 pypi_0 pypi
pydot 1.4.1 pypi_0 pypi
pylint 2.4.4 py37_0
pyodbc 4.0.30 pypi_0 pypi
pyparsing 2.4.7 pypi_0 pypi
python 3.7.7 h21ff451_0 intel
python-dateutil 2.8.1 pypi_0 pypi
python-editor 1.0.4 pypi_0 pypi
python-graphviz 0.14 pypi_0 pypi
pytz 2019.3 pypi_0 pypi
pyyaml 5.3.1 pypi_0 pypi
requests 2.22.0 pypi_0 pypi
requests-oauthlib 1.3.0 pypi_0 pypi
rsa 4.0 pypi_0 pypi
scikit-learn 0.22.1 py37ha68da19_10 intel
scipy 1.4.1 pypi_0 pypi
setuptools 45.2.0 py37_0 intel
shapely 1.6.4 py37hc90234e_0
six 1.13.0 py37_2 intel
sqlalchemy 1.3.16 pypi_0 pypi
sqlite 3.30.1 vc14_6 [vc14] intel
tbb 2020.2 vc14_intel_216 [vc14] intel
tbb4py 2020.2 py37_intel_0 [vc14] intel
tcl 8.6.9 vc14_24 [vc14] intel
tensorboard 1.15.0 pypi_0 pypi
tensorflow-estimator 1.15.1 pypi_0 pypi
tensorflow-gpu 1.15.2 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
tk 8.6.9 vc14_29 [vc14] intel
toml 0.10.0 pypi_0 pypi
tqdm 4.45.0 pypi_0 pypi
urllib3 1.25.9 pypi_0 pypi
vc 14.0 2 intel
vs2015_runtime 14.0.25420 intel_3 intel
werkzeug 1.0.1 pypi_0 pypi
wheel 0.33.6 py37_4 intel
wincertstore 0.2 py37_3 intel
wrapt 1.12.1 pypi_0 pypi
xz 5.2.4 vc14_5 [vc14] intel
zlib 1.2.11.1 vc14hfa6e2cd_1 [vc14] intel

conda info

active environment : fdbk-conda
active env location : C:\Users\ShawnDMcDonald\.conda\envs\fdbk-conda
shell level : 1
user config file : C:\Users\ShawnDMcDonald\.condarc
populated config files : C:\Users\ShawnDMcDonald\.condarc
conda version : 4.8.2
conda-build version : 3.18.11
python version : 3.7.6.final.0
virtual packages : __cuda=10.2
base environment : D:\Anaconda (writable)
channel URLs : https://conda.anaconda.org/intel/win-64
https://conda.anaconda.org/intel/noarch
https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : D:\Anaconda\pkgs
C:\Users\ShawnDMcDonald\.conda\pkgs
C:\Users\ShawnDMcDonald\AppData\Local\conda\conda\pkgs
envs directories : D:\Anaconda\envs
C:\Users\ShawnDMcDonald\.conda\envs
C:\Users\ShawnDMcDonald\AppData\Local\conda\conda\envs
platform : win-64
user-agent : conda/4.8.2 requests/2.22.0 CPython/3.7.6 Windows/10 Windows/10.0.18362
administrator : True
netrc file : None
offline mode : False