Installation via conda doesn't work about cucim

[VolkerH]

Not a maintainer, but as far as I am aware RAPIDS only works on Linux, see the RAPIDS release selector:
https://rapids.ai/start.html

From your C:\Users\ path I gather you are working on Windows.

Edit:

Just to confirm, on Ubuntu 20.04 conda manages to find the packages and resolve the depencies (just now):

(base) hilsenst@itservices-XPS-15-9500:~$ conda create -n cucim -c rapidsai -c conda-forge/label/cupy_rc -c conda-forge cucim cudatoolkit=11.2
Collecting package metadata (current_repodata.json): done
Solving environment: / 
Warning: 2 possible package resolutions (only showing differing packages):
  - conda-forge/noarch::decorator-5.0.9-pyhd8ed1ab_0, conda-forge/noarch::networkx-2.3-py_0
  - conda-forge/noarch::decorator-4.4.2-py_0, conda-forge/noarch::networkx-2.5.1-pyhd8ed1abdone


==> WARNING: A newer version of conda exists. <==
  current version: 4.9.2
  latest version: 4.10.1

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /home/hilsenst/miniconda3/envs/cucim

  added / updated specs:
    - cucim
    - cudatoolkit=11.2


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    blosc-1.21.0               |       h9c3ff4c_0         841 KB  conda-forge
    brotlipy-0.7.0             |py38h497a2fe_1001         341 KB  conda-forge
    brunsli-0.1                |       h9c3ff4c_0         200 KB  conda-forge
    ca-certificates-2021.5.30  |       ha878542_0         136 KB  conda-forge
    certifi-2021.5.30          |   py38h578d9bd_0         141 KB  conda-forge
    cffi-1.14.5                |   py38ha65f79e_0         227 KB  conda-forge
    chardet-4.0.0              |   py38h578d9bd_1         199 KB  conda-forge
    charls-2.2.0               |       h9c3ff4c_0         138 KB  conda-forge
    click-8.0.1                |   py38h578d9bd_0         146 KB  conda-forge
    cloudpickle-1.6.0          |             py_0          22 KB  conda-forge
    cryptography-3.4.7         |   py38ha5dfef3_0         1.1 MB  conda-forge
    cucim-21.06.00             |cuda_11.2_py38_g0886c13_0         1.1 MB  rapidsai
    cudatoolkit-11.2.2         |       he111cf0_8       877.3 MB  conda-forge
    cupy-9.0.0rc1              |   py38h5fb6845_0        46.8 MB  conda-forge/label/cupy_rc
    cycler-0.10.0              |             py_2           9 KB  conda-forge
   ...

[jakirkham]

Yeah this is only supported on Linux currently

There's a blogpost on using RAPIDS on WSL, which may provide an alternative path forward

Edit: It should also be possible to use cupy version 9.0.0 (since it came out)

[haesleinhuepf]

Ah great, thanks everyone :-)