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Switch build to splayed layout #83
Switch build to splayed layout #83
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Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
…nda-forge-pinning 2024.06.26.07.13.35
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Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
These should now come from the CUDA compiler.
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GitHub autogenerated artifacts fail to checksum as something changed in the autogeneration process again Here is what we see on CI (attached log for posterity): Traceback (most recent call last):
File "/opt/conda/bin/conda-build", line 11, in <module>
sys.exit(execute())
File "/opt/conda/lib/python3.10/site-packages/conda_build/cli/main_build.py", line 590, in execute
api.build(
File "/opt/conda/lib/python3.10/site-packages/conda_build/api.py", line 250, in build
return build_tree(
File "/opt/conda/lib/python3.10/site-packages/conda_build/build.py", line 3638, in build_tree
packages_from_this = build(
File "/opt/conda/lib/python3.10/site-packages/conda_build/build.py", line 2419, in build
try_download(m, no_download_source=False, raise_error=True)
File "/opt/conda/lib/python3.10/site-packages/conda_build/render.py", line 762, in try_download
source.provide(metadata)
File "/opt/conda/lib/python3.10/site-packages/conda_build/source.py", line 1035, in provide
unpack(
File "/opt/conda/lib/python3.10/site-packages/conda_build/source.py", line 169, in unpack
src_path, unhashed_fn = download_to_cache(
File "/opt/conda/lib/python3.10/site-packages/conda_build/source.py", line 125, in download_to_cache
raise RuntimeError(
RuntimeError: SHA256 mismatch: 'eb6d1b2cd881de0c14963ddb9cb7f3ec5df1b31370133267678265e31fb743b2' != 'ee7e3df43da7d924207e03efa4d5e5466801510b3e1f0377d425c6e6a8d823bb' Edit: Raising this upstream ( NVIDIA/cuda-python#71 ) |
Think this is working as we can see lines like this on CI:
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LGTM
host
(was a workaround for lack of splayed layout)build/number
to1
Fixes #82
Closes #74
Closes NVIDIA/cuda-python#46