Installing cuspatial under a pipenv environment #1243

matthewjmuscat · 2023-08-01T22:07:53Z

matthewjmuscat
Aug 1, 2023

I am attempting to install cuspatial via pipenv, (ie. pipenv install cuspatial, or something) but cannot figure out how. Can cuspatial be installed in a pipenv environment? If so, what is the correct command?

I believe this could be an issue is similar to that described by this thread for installing pytorch via pipenv: pypa/pipenv#4961. As far as I understand, pipenv uses only PEP 503 standardized repos, so I am unsure if this is the cause of the problem or not.

Answered by matteius

Aug 3, 2023

@matthewjmuscat Thanks to @bdice I was able to get a working example Pipfile:

(myenv) matteius@matteius-VirtualBox:~/pipenv-triage/issue-nvidia$ cat Pipfile

[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[[source]]
url = "https://pypi.nvidia.com/"
verify_ssl = true
name = "pypinvidia"

[packages]
cubinlinker-cu11 = {version = "*", index = "pypinvidia"}
ptxcompiler-cu11 = {version = "*", index = "pypinvidia"}
rmm-cu11 = {version = "*", index = "pypinvidia"}
cudf-cu11 = {version = "*", index = "pypinvidia"}
cuspatial-cu11 = {version = "*", index = "pypinvidia"} 

[dev-packages]

(myenv) matteius@matteius-VirtualBox:~/pipenv-triage/issue-nvidia$ pipenv lock -v
Lo…

View full answer

bdice · 2023-08-02T00:27:39Z

bdice
Aug 2, 2023
Collaborator

@matthewjmuscat RAPIDS pip packages are hosted on pypi.nvidia.com. For pip installations, you can run pip install cuspatial-cu12 --extra-index-url=https://pypi.nvidia.com.

I have no experience with pipenv but I believe that the pypi.nvidia.com server API is PEP 503 compatible (80% sure on that).

It looks like this issue describes other users who have a custom index with pipenv: pypa/pipenv#1406

It links to this part of the docs, which show how to specify a custom index as a source for packages. https://docs.pipenv.org/advanced/#specifying-package-indexes

Give that a try and let us know what you find? If this fails, it might be helpful to see an error log.

10 replies

matteius Aug 3, 2023

Thanks, that is helpful! I don't see cuspatial-cu12 in that index though or anything named cuspatial -- but for example there is a nvidia-cuda-cupti-cu117 and so given that, I was able to run:

matte@LAPTOP-N5VSGIBD MINGW64 ~/Projects/pipenv-triage/issue-nvidia
$ pipenv install nvidia-cuda-cupti-cu117 --index=https://pypi.nvidia.com
Creating a virtualenv for this project...
Pipfile: C:\Users\matte\Projects\pipenv-triage\issue-nvidia\Pipfile
Using default python from C:\Users\matte\AppData\Local\Programs\Python\Python311\python.exe (3.11.2) to create virtualenv...
[==  ] Creating virtual environment...created virtual environment CPython3.11.2.final.0-64 in 1691ms
  creator CPython3Windows(dest=C:\c\users\matte\.virtualenvs\issue-nvidia-m0_Eogs0, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=C:\Users\matte\AppData\Local\pypa\virtualenv)
    added seed packages: pip==23.1.2, setuptools==68.0.0, wheel==0.40.0
  activators BashActivator,BatchActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator

Successfully created virtual environment!
Virtualenv location: C:\c\Users\matte\.virtualenvs\issue-nvidia-m0_Eogs0
Creating a Pipfile for this project...
Installing nvidia-cuda-cupti-cu117...
Resolving nvidia-cuda-cupti-cu117...
Added nvidia-cuda-cupti-cu117 to Pipfile's [packages] ...
Installation Succeeded
Pipfile.lock not found, creating...
Locking [packages] dependencies...
Building requirements...
Resolving dependencies...
Resolving dependencies...
Success!
Locking [dev-packages] dependencies...
Updated Pipfile.lock (0b10c0c0daffca0dc626f065f070151f3c8e5852926c75ce16703bbd6e9b4d69)!
Installing dependencies from Pipfile.lock (9b4d69)...
To activate this project's virtualenv, run pipenv shell.
Alternatively, run a command inside the virtualenv with pipenv run.

matte@LAPTOP-N5VSGIBD MINGW64 ~/Projects/pipenv-triage/issue-nvidia
$ cat Pipfile
[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[[source]]
url = "https://pypi.nvidia.com"
verify_ssl = true
name = "pypinvidia"

[packages]
nvidia-cuda-cupti-cu117 = {version = "*", index = "pypinvidia"}

[dev-packages]

[requires]
python_version = "3.9"

matte@LAPTOP-N5VSGIBD MINGW64 ~/Projects/pipenv-triage/issue-nvidia
$ cat Pipfile.lock
{
    "_meta": {
        "hash": {
            "sha256": "0b10c0c0daffca0dc626f065f070151f3c8e5852926c75ce16703bbd6e9b4d69"
        },
        "pipfile-spec": 6,
        "requires": {
            "python_version": "3.9"
        },
        "sources": [
            {
                "name": "pypi",
                "url": "https://pypi.org/simple",
                "verify_ssl": true
            },
            {
                "name": "pypinvidia",
                "url": "https://pypi.nvidia.com",
                "verify_ssl": true
            }
        ]
    },
    "default": {
        "nvidia-cuda-cupti-cu117": {
            "hashes": [
                "sha256:286dc4c0020c438c3e6bd0f7a2f21a1834a45eabba1c11b08dad0b1693e9876e",
                "sha256:bdc753d6d9a986498dce0f5e49969bff5196fc18c31ef2b853d65127297b18be"
            ],
            "index": "pypinvidia",
            "version": "==11.7.50"
        },
        "setuptools": {
            "hashes": [
                "sha256:11e52c67415a381d10d6b462ced9cfb97066179f0e871399e006c4ab101fc85f",
                "sha256:baf1fdb41c6da4cd2eae722e135500da913332ab3f2f5c7d33af9b492acb5235"
            ],
            "markers": "python_version >= '3.7'",
            "version": "==68.0.0"
        },
        "wheel": {
            "hashes": [
                "sha256:55a0f0a5a84869bce5ba775abfd9c462e3a6b1b7b7ec69d72c0b83d673a5114d",
                "sha256:7e9be3bbd0078f6147d82ed9ed957e323e7708f57e134743d2edef3a7b7972a9"
            ],
            "markers": "python_version >= '3.7'",
            "version": "==0.41.0"
        }
    },
    "develop": {}
}

bdice Aug 3, 2023
Collaborator

Awkward. The index is out of date (also an issue that I hope can be fixed by the managing team). This is a direct URL to the cuspatial-cu12 package list (for CUDA 12 users): https://pypi.nvidia.com/cuspatial-cu12/

This is a direct URL to the cuspatial-cu11 package list (for CUDA 11 users): https://pypi.nvidia.com/cuspatial-cu11/

vyasr Aug 3, 2023
Collaborator

For testing purposes, are you able to do pip download cuspatial-cu12 --extra-index-url=https://pypi.nvidia.com? Curious whether you see the same issues with pip or only with pipenv.

For reference, I was just able to run that command, and also pip install.... Would definitely be curious to learn if we're doing something that's compatible with pip but not pipenv.

matteius Aug 3, 2023

This is going to be a bit problematic, at first I thought it was only because its missing from the index (that may not help) but there is a secondary issue for users of pipenv, which is the whl's here require the use of --extra-index-url and scanning multiple indexes, but we specifically forbid this in pipenv due to package confusion attacks. What this means is because the nvidia pypi doesn't mirror everything it requires, but requires things from both indexes, its not easy to resolve with pipenv. Trying to come up with a working example but I am having to pick apart which packages are coming from which index in the METADATA files and its recursive.

matteius Aug 3, 2023

That part of the problem, but the other part is I am running Windows and linux Virtualbox -- I am not sure if these linux CUDA packages are installable on linux virtualbox.:

matteius@matteius-VirtualBox:~/pipenv-triage/issue-nvidia$ pipenv lock -v
Locking [packages] dependencies...
Building requirements...
Resolving dependencies...
Resolving dependencies...
ERROR:pip.subprocessor: python setup.py egg_info exited with 1
[ResolutionFailure]:   File "/home/matteius/pipenv/pipenv/resolver.py", line 665, in _main
[ResolutionFailure]:       resolve_packages(
[ResolutionFailure]:   File "/home/matteius/pipenv/pipenv/resolver.py", line 632, in resolve_packages
[ResolutionFailure]:       results, resolver = resolve(
[ResolutionFailure]:   File "/home/matteius/pipenv/pipenv/resolver.py", line 612, in resolve
[ResolutionFailure]:       return resolve_deps(
[ResolutionFailure]:   File "/home/matteius/pipenv/pipenv/utils/resolver.py", line 838, in resolve_deps
[ResolutionFailure]:       results, hashes, internal_resolver = actually_resolve_deps(
[ResolutionFailure]:   File "/home/matteius/pipenv/pipenv/utils/resolver.py", line 617, in actually_resolve_deps
[ResolutionFailure]:       resolver.resolve()
[ResolutionFailure]:   File "/home/matteius/pipenv/pipenv/utils/resolver.py", line 441, in resolve
[ResolutionFailure]:       raise ResolutionFailure(message=str(e))
: Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv run pip install <requirement_name> to bypass this mechanism, then run $ pipenv graph to inspect the versions actually installed in the virtualenv.
  Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: metadata generation failed
✘ Locking Failed!
⠹ Locking...
Traceback (most recent call last):
  File "/usr/local/bin/pipenv", line 8, in <module>
    sys.exit(cli())
  File "/home/matteius/pipenv/pipenv/vendor/click/core.py", line 1130, in __call__
    return self.main(*args, **kwargs)
  File "/home/matteius/pipenv/pipenv/cli/options.py", line 57, in main
    return super().main(*args, **kwargs, windows_expand_args=False)
  File "/home/matteius/pipenv/pipenv/vendor/click/core.py", line 1055, in main
    rv = self.invoke(ctx)
  File "/home/matteius/pipenv/pipenv/vendor/click/core.py", line 1657, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/home/matteius/pipenv/pipenv/vendor/click/core.py", line 1404, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/home/matteius/pipenv/pipenv/vendor/click/core.py", line 760, in invoke
    return __callback(*args, **kwargs)
  File "/home/matteius/pipenv/pipenv/vendor/click/decorators.py", line 84, in new_func
    return ctx.invoke(f, obj, *args, **kwargs)
  File "/home/matteius/pipenv/pipenv/vendor/click/core.py", line 760, in invoke
    return __callback(*args, **kwargs)
  File "/home/matteius/pipenv/pipenv/vendor/click/decorators.py", line 26, in new_func
    return f(get_current_context(), *args, **kwargs)
  File "/home/matteius/pipenv/pipenv/cli/command.py", line 361, in lock
    do_lock(
  File "/home/matteius/pipenv/pipenv/routines/lock.py", line 65, in do_lock
    venv_resolve_deps(
  File "/home/matteius/pipenv/pipenv/utils/resolver.py", line 781, in venv_resolve_deps
    c = resolve(cmd, st, project=project)
  File "/home/matteius/pipenv/pipenv/utils/resolver.py", line 654, in resolve
    raise RuntimeError("Failed to lock Pipfile.lock!")
RuntimeError: Failed to lock Pipfile.lock!

matteius@matteius-VirtualBox:~/pipenv-triage/issue-nvidia$ cat Pipfile 
[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[[source]]
url = "https://pypi.nvidia.com/"
verify_ssl = true
name = "pypinvidia"

[packages]
cudf-cu12 = {version = "*", index = "pypinvidia"}

[dev-packages]

[requires]
python_version = "3.10"

matteius · 2023-08-03T01:49:41Z

matteius
Aug 3, 2023

@matthewjmuscat Thanks to @bdice I was able to get a working example Pipfile:

(myenv) matteius@matteius-VirtualBox:~/pipenv-triage/issue-nvidia$ cat Pipfile

[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[[source]]
url = "https://pypi.nvidia.com/"
verify_ssl = true
name = "pypinvidia"

[packages]
cubinlinker-cu11 = {version = "*", index = "pypinvidia"}
ptxcompiler-cu11 = {version = "*", index = "pypinvidia"}
rmm-cu11 = {version = "*", index = "pypinvidia"}
cudf-cu11 = {version = "*", index = "pypinvidia"}
cuspatial-cu11 = {version = "*", index = "pypinvidia"} 

[dev-packages]

(myenv) matteius@matteius-VirtualBox:~/pipenv-triage/issue-nvidia$ pipenv lock -v
Locking [packages] dependencies...
Building requirements...
Resolving dependencies...
Resolving dependencies...
⠇ Locking...
✔ Success!
Locking [dev-packages] dependencies...
Updated Pipfile.lock (dfed52f8e3431c13164bcadd550cb27d2188daa463f2d7dc9e0536302d00076c)!

Here is also the lock file:

{
    "_meta": {
        "hash": {
            "sha256": "dfed52f8e3431c13164bcadd550cb27d2188daa463f2d7dc9e0536302d00076c"
        },
        "pipfile-spec": 6,
        "requires": {},
        "sources": [
            {
                "name": "pypi",
                "url": "https://pypi.org/simple",
                "verify_ssl": true
            },
            {
                "name": "pypinvidia",
                "url": "https://pypi.nvidia.com/",
                "verify_ssl": true
            }
        ]
    },
    "default": {
        "attrs": {
            "hashes": [
                "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04",
                "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"
            ],
            "markers": "python_version >= '3.7'",
            "version": "==23.1.0"
        },
        "cachetools": {
            "hashes": [
                "sha256:95ef631eeaea14ba2e36f06437f36463aac3a096799e876ee55e5cdccb102590",
                "sha256:dce83f2d9b4e1f732a8cd44af8e8fab2dbe46201467fc98b3ef8f269092bf62b"
            ],
            "markers": "python_version >= '3.7'",
            "version": "==5.3.1"
        },
        "certifi": {
            "hashes": [
                "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082",
                "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"
            ],
            "markers": "python_version >= '3.6'",
            "version": "==2023.7.22"
        },
        "click": {
            "hashes": [
                "sha256:48ee849951919527a045bfe3bf7baa8a959c423134e1a5b98c05c20ba75a1cbd",
                "sha256:fa244bb30b3b5ee2cae3da8f55c9e5e0c0e86093306301fb418eb9dc40fbded5"
            ],
            "markers": "python_version >= '3.7'",
            "version": "==8.1.6"
        },
        "click-plugins": {
            "hashes": [
                "sha256:46ab999744a9d831159c3411bb0c79346d94a444df9a3a3742e9ed63645f264b",
                "sha256:5d262006d3222f5057fd81e1623d4443e41dcda5dc815c06b442aa3c02889fc8"
            ],
            "version": "==1.1.1"
        },
        "cligj": {
            "hashes": [
                "sha256:a4bc13d623356b373c2c27c53dbd9c68cae5d526270bfa71f6c6fa69669c6b27",
                "sha256:c1ca117dbce1fe20a5809dc96f01e1c2840f6dcc939b3ddbb1111bf330ba82df"
            ],
            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' and python_version < '4'",
            "version": "==0.7.2"
        },
        "cubinlinker-cu11": {
            "hashes": [
                "sha256:15004e020b996648dac09c746a19508131c9592d6f11bdfc5e6fa43335013e7e"
            ],
            "index": "pypinvidia",
            "version": "==0.3.0.post1"
        },
        "cuda-python": {
            "hashes": [
                "sha256:0c74ebff2e7d113ea7b00ab203c38ef89ac4d71c8e90409597ca27271829146f",
                "sha256:10fe778cebe945af600bc6376b248b82ad5ad5ab1fa9c86a05fc176cc7cfb8c9",
                "sha256:4e41168581f39a576254515bd81cc800c825c2323c0ca34067026a04c4d44747",
                "sha256:71cd022f1f05397bfa261fbe4f5ec3722e94fe88611955c5c6c5e2176b6f1d95",
                "sha256:76e1215a4ad467373f98466d4f689da4449ef18072bbaf6995257068a621a442",
                "sha256:77613cf95e77d4f72c8a78e1781ef42d6ab099adac6700d506d8789f0abbe082",
                "sha256:7ed9306d6eb8f75a89d4d2c953d9d00e4d5ff5baadd92a1d3d894f5b8e5f45c6",
                "sha256:847d07d3939906259ca388993c753ab58f545a0d0cc371b7b6ee6eaac4e2e211",
                "sha256:a13c9b534a7cf908bf205eef9c4bec5b1e98372f3a476cf6bbba8b2275602beb",
                "sha256:b61844f60b5fca76574d313d48451b481230a3108c830a1917cf93783b359f1c",
                "sha256:b9156190b61eba753e4845de73e4cc5e564dad845c2b067e27d7f044953b6591",
                "sha256:eb7574881869d58099cd74d44f1edfd76cab821bb9ba5dd5168222cc309667a1"
            ],
            "version": "==11.8.2"
        },
        "cudf-cu11": {
            "hashes": [
                "sha256:cebf4c829b21786841bebbc0e86eb921ac257a7b0fba96cdd6a14118fc32ffd8"
            ],
            "index": "pypinvidia",
            "version": "==23.6.1"
        },
        "cupy-cuda11x": {
            "hashes": [
                "sha256:0eeba85ea4f37b4aa43b90ef6761ea6f162e9bc79f6545647c1dc395265fedf6",
                "sha256:1cace5689abc617503e54eecf38bf5106b1568b929a0e052a646842d1bc29de7",
                "sha256:21c045e6c8b328b537e1cfa58aed68e0551291c2a23eb034c0a4595a2a3326c3",
                "sha256:3c231ab0238040e8ab26c9de20222a2569d94cbfb8174c2cdd393da9a34ccb1c",
                "sha256:8ab535634e807da6802257bfc6e2b3a8eb6fc8687f221ee373c2c2b9a0203a0b",
                "sha256:90ac2330d8664cbac1d26e00caf392bf29e97c2ad28b2f04f49ed5ddad135f03",
                "sha256:944e0850a7db8897bc818116d6aff76c3154c6b6a148ca28e2d6dc68c6337f93",
                "sha256:a9d8f44241f83e0363e591d35178df8a4e9c9bcb3259ac5ae44221015b4969fd",
                "sha256:b269d9f6d0ed043d576ad9b5ef499502ce2c870d07afa81f098e290f57ca1b83",
                "sha256:d96c695624cae4c2c126e13b2ca204e9b004199f4749085ef4f023ce390472e6",
                "sha256:f9d7a77200e5539c496a1a2a0d30b427fec81b5cd4e28ecc738d26689c54e132",
                "sha256:fd632ba3ee9356e8efc35c860b443122aa0fa8500807c6ae0cef5076655b9cda"
            ],
            "markers": "python_version >= '3.8'",
            "version": "==12.1.0"
        },
        "cuspatial-cu11": {
            "hashes": [
                "sha256:96a727e821c1a211392d10b6978977817b2b5ea43253e947b6fefa3a3ff10530"
            ],
            "index": "pypinvidia",
            "version": "==23.6.0"
        },
        "cython": {
            "hashes": [
                "sha256:06db81b1a01858fcc406616f8528e686ffb6cf7c3d78fb83767832bfecea8ad8",
                "sha256:06fcb4628ccce2ba5abc8630adbeaf4016f63a359b4c6c3827b2d80e0673981c",
                "sha256:090256c687106932339f87f888b95f0d69c617bc9b18801555545b695d29d8ab",
                "sha256:090e24cfa31c926d0b13d8bb2ef48175acdd061ae1413343c94a2b12a4a4fa6f",
                "sha256:0d2c1e172f1c81bafcca703093608e10dc16e3e2d24c5644c17606c7fdb1792c",
                "sha256:0e1e4b7e4bfbf22fecfa5b852f0e499c442d4853b7ebd33ae37cdec9826ed5d8",
                "sha256:204690be60f0ff32eb70b04f28ef0d1e50ffd7b3f77ba06a7dc2389ee3b848e0",
                "sha256:20c604e974832aaf8b7a1f5455ee7274b34df62a35ee095cd7d2ed7e818e6c53",
                "sha256:254ed1f03a6c237fa64f0c6e44862058de65bfa2e6a3b48ca3c205492e0653aa",
                "sha256:296c53b6c0030cf82987eef163444e8d7631cc139d995f9d58679d9fd1ddbf31",
                "sha256:2d8158277c8942c0b20ff4c074fe6a51c5b89e6ac60cef606818de8c92773596",
                "sha256:2fadde1da055944f5e1e17625055f54ddd11f451889110278ef30e07bd5e1695",
                "sha256:30a4bd2481e59bd7ab2539f835b78edc19fc455811e476916f56026b93afd28b",
                "sha256:30f10e79393b411af7677c270ea69807acb9fc30205c8ff25561f4deef780ec1",
                "sha256:33c900d1ca9f622b969ac7d8fc44bdae140a4a6c7d8819413b51f3ccd0586a09",
                "sha256:350b18f9673e63101dbbfcf774ee2f57c20ac4636d255741d76ca79016b1bd82",
                "sha256:35abcf07b8277ec95bbe49a07b5c8760a2d941942ccfe759a94c8d2fe5602e9f",
                "sha256:3b71b399b10b038b056ad12dce1e317a8aa7a96e99de7e4fa2fa5d1c9415cfb9",
                "sha256:3e234e2549e808d9259fdb23ebcfd145be30c638c65118326ec33a8d29248dc2",
                "sha256:4123c8d03167803df31da6b39de167cb9c04ac0aa4e35d4e5aa9d08ad511b84d",
                "sha256:4965f2ebade17166f21a508d66dd60d2a0b3a3b90abe3f72003baa17ae020dd6",
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10 replies

matteius Aug 3, 2023

Not a pipenv issue -- you can't install pre-built linux binaries on windows. These .so files in the wheel file are for linux:

I don't believe you'll be able to install them on windows with pip either -- I showed that it works with pipenv on linux.

matthewjmuscat Aug 3, 2023
Author

Thanks for the help! Onto installing linux..

matteius Aug 3, 2023

Virtualbox works well on Windows -- that's what I do for my personal work. You can setup shared folders and ssh access. You can configure Pycharm to connect to virtualenvs on the linux VM from your Windows host.

jarmak-nv Aug 3, 2023
Collaborator

Glad it's progressing! RAPIDS Libraries do not support Windows, but you can use WSL2 (which is supported in Windows 10) to install RAPIDS.

Virtualbox isn't an officially supported method by the RAPIDS team so we can't help too much there, but it looks like it's likely possible you can get it running. Definitely recommend WSL2 if you're new to this, it's as easy as using the Microsoft Store and installing Ubuntu 22.04 after you follow the steps to install WSL2 below. (Note - it does need to be WSL2 and not WSL1 so if you already have it installed, you may need to set the default WSL config to WSL2 from WSL1 [covered in the Microsoft link below])

https://docs.rapids.ai/install#wsl2
https://learn.microsoft.com/en-us/windows/wsl/install

matteius Aug 3, 2023

Ah yeah, I forgot a while ago I enabled Hyper-V in the BIOS to get CUDA working in the VirtualBox VM -- good call out. The trae-off is you can't use Docker on Windows with Hyper-V enabled, but you can use docker in the guest VM.

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