[WIP] on-disk caching of CUDA kernels #8079
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The following:
```python
from numba import cuda
@cuda.jit(cache=True)
def f():
pass
f[1, 1]()
```
runs and saves cache files to the disk. The subsequent run loading from
the cache still fails.
Presently fails because the codegen can't be pickled due to ctypes pointer.
This incorporates fixes to the PTX pickling from @c200chromebook: https://gist.github.com/c200chromebook/1ee304161a39b247e8a029ff9d2b3cd7 For the simple test: ```python from numba import cuda @cuda.jit(cache=True) def f(): pass f[1, 1]() ``` The following CUDA Driver API calls are seen on the first invocation: ``` == CUDA [427] DEBUG -- call driver api: cuLinkCreate_v2 == CUDA [428] DEBUG -- call driver api: cuLinkAddData_v2 == CUDA [428] DEBUG -- call driver api: cuLinkComplete == CUDA [428] DEBUG -- call driver api: cuLinkDestroy ``` but are absent from a subsequent run.
…functions though" This reverts commit 65b9615.
|
I started with the wrong branch here and public CI is busy, so I'll close this now. |
gmarkall
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Testing on CI as I work on the tests.