Comments (4)
Thanks for the info.
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Is this meant for the PlaidML v1-branch or the 0.7-release series? I doubt any PlaidML can be mixed and matched using an LLVM of your choice. As far as PlaidML v1 goes, a specific SHA is needed, which renders this request somewhat pointless. Please let me know if I misunderstood your request or please add some more background.
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v1 branch.
And you have understood right, I mean the setting to disable fetching LLVM and instead use the system-installed one. If it turns out the LLVM version is compatible, then good. If it turns out the PlaidML code is incompatible to the interface in the most recent LLVM version, it is a bug that has to be fixed, not concealed (we shouldn't be tied to obsolete versions of LLVM having no future, should we?)
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If it turns oit the LLVM version is compatible
No, it does not work like this. Almost every project using MLIR from LLVM project relies on specific commits as both pieces ("the project") and MLIR are moving targets or are under development. Sorry, this business is not about updating to a newer version without adjusting the source code.
If it turns out the PlaidML code is incompatibpe to the interface in the most recent LLVM version
It will be incompatible; see above.
it is a bug that has to be fixed
No, it's not a bug but serious work is needed (continuously). Also, development of PlaidML stopped. In particular v1-branch never reached production. This is a research project which takes a refined road when compared to v1-branch (see also #1991 (comment)).
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Related Issues (20)
- plaidml-setup doesnt work anymore
- plaidml.exceptions.PlaidMLError: Could not find PlaidML configuration file: "experimental.json" HOT 1
- PlaidML Poor Performance on (My?) RX 6800 HOT 5
- Unable to run pmlc-opt output MLIR example via pmlc-jit HOT 2
- Printing memrefs HOT 1
- ModuleNotFoundError: No module named 'plaidml.bridge' HOT 1
- The fetching of dependencies should only be used as fallback
- neural network doesn't output the results HOT 3
- The Keras backend function 'local_conv2d' is not yet implemented in Plaid.
- build errors HOT 1
- how to fix "cannot import name 'Iterable' from 'collections' when running test code from main page HOT 3
- Feedback on build documentation HOT 2
- Capture affine.store op HOT 4
- Tile language vs EDSL HOT 10
- Not able to select GPU with plaidml-v1 HOT 6
- cannot figure out how to load premade model in python
- Getting error runing build. HOT 2
- Evaluate Profile-Guided Optimization (PGO) HOT 3
- Is the project still active? HOT 1
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