Replace use of custom CUDA bindings with CUDA-Python #930

shwina · 2021-12-03T15:41:46Z

This PR removes many of the custom CUDA bindings we wrote in RMM to support calls to the driver/runtime APIs from Python in downstream libraries (cudf, cuml, cugraph). We should now use CUDA Python instead.

However, the module rmm._cuda.gpu is not being removed. It has been converted from an extension module (.pyx) to a regular .py module. This module contains high-level wrappers around raw CUDA bindings, with some niceties like converting errors to exceptions with the appropriate error message. Reimplementing that functionality in each downstream library would be a bad idea. When CUDA Python rolls its own higher-level API, we can remove the gpu module as well.

One API change worth mentioning here is to the function rmm._cuda.gpu.getDeviceAttribute. Previously, the API accepted a cudaDeviceAttr, a type defined as part of RMM's custom CUDA bindings. The API has now changed to accept a cudaDeviceAttr defined in CUDA-Python. This requires changes in downstream libraries that use this API.

I am marking this PR non-breaking as it does not affect the user-facing API. It does cause breakages in downstream libraries that are currently relying on internal APIs (from the rmm._cuda module).

jakirkham · 2021-12-03T16:32:17Z

Seeing all of the code dropped here is great! Thanks for working on this Ashwin! 😄

bdice

This is awesome @shwina! Thanks for doing this. I reviewed this primarily to learn more about RMM's Cython API, which I haven't looked at much before. I have one suggestion and one question attached below.

python/rmm/_cuda/gpu.py

harrism · 2021-12-06T20:58:14Z

This is so cool. RMM is getting leaner!

harrism · 2021-12-06T20:58:42Z

Is this breaking or non-breaking?

shwina · 2021-12-06T21:48:28Z

I'm marking it non-breaking, as the only changes are to non-public APIs. However, this will break cudf as it consumes non-public RMM APIs.

As part of this PR, I'm going to remove those APIs entirely from RMM (rmm._cuda.gpu), and instead have cudf also use CUDA Python directly.

python/rmm/_lib/memory_resource.pxd

jakirkham · 2021-12-06T21:52:03Z

Also should we be adding cuda-python to install_requires in setup.py as well as in the Conda recipe and environments?

Co-authored-by: Bradley Dice <bdice@bradleydice.com>

shwina · 2021-12-06T21:57:43Z

Thanks @jakirkham - I just did that. Could you please double check that the constraints are appropriate?

bdice · 2021-12-06T22:23:56Z

Also should we be adding coda-python to install_requires in setup.py as well as in the Conda recipe and environments?

Also python/dev_requirements.txt. Also, the install_requires are currently unpinned but the setup_requires is pinned, which strikes me as unexpected.

Is it intentional that we have pinnings in pyproject.toml and setup.py's setup_requires for Cython? I think we only need the pyproject.toml build system but am not sure.

jakirkham · 2021-12-06T23:03:51Z

Thanks @jakirkham - I just did that. Could you please double check that the constraints are appropriate?

Hmm...I'm not seeing them. Did they get pushed?

…-python

conda/environments/rmm_dev_cuda10.1.yml

conda/recipes/rmm/meta.yaml

python/setup.py

conda/environments/rmm_dev_cuda10.2.yml

conda/environments/rmm_dev_cuda11.0.yml

conda/environments/rmm_dev_cuda10.1.yml

Co-authored-by: Mark Harris <mharris@nvidia.com>

python/rmm/_cuda/gpu.py

bdice · 2022-01-14T23:15:52Z

python/rmm/_cuda/gpu.py

+        err, name = cudart.cudaGetErrorName(status)
+        if err != cudart.cudaError_t.cudaSuccess:
+            raise CUDARuntimeError(err.value)


It's awkward that we might raise a CUDARuntimeError from within the constructor of CUDARuntimeError... which got me to looking a little closer.

I saw the suggestion from @jakirkham in #930 (comment) / 8be6c0b but I'm pretty sure this is a spurious error check that illuminates some slightly awkward design in cuda-python (a meaningless err value).

For cudaGetErrorName, the err value is hardcoded as cudaError_t.cudaSuccess. It's not likely that this will ever change, because the corresponding runtime API does not generate an CUDA error: cudaGetErrorName returns a const char* with a special value of "unrecognized error code" rather than setting an error code if the parameters are invalid.
https://github.com/NVIDIA/cuda-python/blob/746b773c91e1ede708fe9a584b8cdb1c0f32b51d/cuda/cudart.pyx#L8084

Similarly for cudaGetErrorString... sort of:
https://github.com/NVIDIA/cuda-python/blob/746b773c91e1ede708fe9a584b8cdb1c0f32b51d/cuda/cudart.pyx#L8115
This function actually can set an error code via its call to the driver API cuGetErrorString, but that error is not returned -- the cudaGetErrorString in cuda-python also has err hard-coded as a success and the value "unrecognized error code" is returned. https://github.com/NVIDIA/cuda-python/blob/746b773c91e1ede708fe9a584b8cdb1c0f32b51d/cuda/_lib/ccudart/ccudart.pyx#L522-L531

In summary, I think it would be safe to revert 8be6c0b and use the previous snippet with a throwaway variable _, name = ... for both cudaGetErrorName and cudaGetErrorString because the err is always a success. As a consequence, we don't need to handle this awkward possibility of raising an error class in its own constructor.

I agree that it is awkward. Would hope this error can't come up, but it might come if the error code is new. IOW only shows up in later CUDA versions, but not earlier ones. Or it could show up if the error code is malformed.

Maybe a middle ground would be to raise a RuntimeError so we don't have a recursive CUDARuntimeError definition. Thoughts?

If a new or malformed error code is provided, the returned string from cudaGetErrorName or cudaGetErrorString will say "unrecognized error code" but no CUDA error will be set. Thus we do not need to check for a CUDA error from those functions. The cuda-python decision to hard-code the err value as "success" strikes me as odd because no err should be returned at all.

If we were to need to raise an error, the recursive use of CUDARuntimeError is not problematic/incorrect -- just awkward.

However, I don't have strong enough feelings on this to hold back on merging.

Perhaps we should check for that build string and then error? Having suppressed errors doesn't sound good.

Agree with your assessment CUDA-Python should be handling this better, but maybe we can have that discussion in a new CUDA-Python issue?

That sounds like a good idea! Raise a RuntimeError if we get the unrecognized error code string back, but don’t check the value of err:

Suggested change

err, name = cudart.cudaGetErrorName(status)

if err != cudart.cudaError_t.cudaSuccess:

raise CUDARuntimeError(err.value)

_, name = cudart.cudaGetErrorName(status)

if name == "unrecognized error code":

raise RuntimeError(name)

(and similarly for cudaGetErrorString)

After a brief sync offline with Bradley, we decided to just not worry about handling an unrecognized error code, because we couldn't figure out how such an error code could be constructed to begin with. cudaError_t is an enum that cannot be constructed from arbitrary integers.

python/rmm/_cuda/gpu.py

Co-authored-by: Bradley Dice <bdice@bradleydice.com>

bdice

LGTM! Thanks @shwina!

jakirkham · 2022-01-18T18:37:44Z

rerun tests

harrism

It's great to simplify. I will leave the Python review up to Python experts -- what would you like me to review?

python/rmm/_cuda/gpu.py

jakirkham · 2022-01-19T04:35:28Z

I think you had some review comments above. So was curious if those were addressed from your perspective

If anything else pops out, please let us know :)

harrism · 2022-01-19T04:37:11Z

I think you had some review comments above. So was curious if those were addressed from your perspective

If anything else pops out, please let us know :)

Just the one comment about why we are keeping some cudart functions in RMM.

shwina · 2022-01-19T15:28:06Z

@gpucibot merge

… CUDA Python bindings (#10008) This PR replaces custom CUDA bindings that are provided by RMM, with official CUDA Python bindings. This PR should be merged after the RMM PR rapidsai/rmm#930 Authors: - Ashwin Srinath (https://github.com/shwina) Approvers: - Jordan Jacobelli (https://github.com/Ethyling) - Vyas Ramasubramani (https://github.com/vyasr) - Bradley Dice (https://github.com/bdice) URL: #10008

…451) As a follow up to rapidsai/rmm#930, fix RAFT to rely on CUDA Python directly rather than custom CUDA bindings that RMM provided. Authors: - Ashwin Srinath (https://github.com/shwina) Approvers: - Corey J. Nolet (https://github.com/cjnolet) - Jordan Jacobelli (https://github.com/Ethyling) URL: #451

Please do not merge until rapidsai/rmm#930 is merged. For the reasons described in that PR, this API has changed to accept a `cuda.cudart.cudaDeviceAttr` object, `cuda` being the official CUDA Python bindings package. Authors: - Ashwin Srinath (https://github.com/shwina) Approvers: - Brad Rees (https://github.com/BradReesWork) - Rick Ratzel (https://github.com/rlratzel) - AJ Schmidt (https://github.com/ajschmidt8) URL: #2008

Replace use of custom CUDA bindings with CUDA-Python

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Add cuda-python rapidsai/integration#401

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Undo deletion

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Add cuda-python to recipe, envs and setup.py

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Merge branch 'use-cuda-python' of github.com:shwina/rmm into use-cuda…

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Fix CUDA Python version in meta.yaml

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Fix type of arg

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Check status after calls to cudaGetErrorName/String

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Update python/rmm/_cuda/gpu.py

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Update python/rmm/_cuda/gpu.py

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Avoid recursion in CUDADriverError and CUDARuntimeError

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Just don't worry about it.

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Replace RMM CUDA Python bindings with those provided by CUDA-Python rapidsai/raft#451

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UserWarning: A CUDA context for device 0 already exists rapidsai/dask-cuda#867

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Replace use of custom CUDA bindings with CUDA-Python #930

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