[CUDNN] Add cuDNN as a Relay partitioning target (BYOC) #10871
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python/tvm/relay/op/contrib/cudnn.py
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| assert isinstance(partition.body.op, relay.Function) | ||
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| global_name = str(partition.attrs.global_symbol) | ||
| target = tvm.target.cuda() |
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Just notice this, I think Target.current() is better so that cuda params are not lost.
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I had a go using this based on your suggestion, but it seems the Target only ends up in the context if you use the 'with' way of specifying targets (not just directly passing them to relay.build). In an ideal world, this somehow gets plumbed directly through the BYOC/partitioning mechanism - but I think that exceeds the immediate scope of this PR. Perhaps we could leave as a future improvement for now?
python/tvm/relay/op/contrib/cudnn.py
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| return _register | ||
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| @tvm._ffi.register_func("relay.ext.cudnn") |
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Now would be a good time to hoist this boilerplate into a library_byoc.py helper or something similar?
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Done - let me know what you think.
mbaret
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it looks like some flaky test in aarch64 |
This adds infrastructure to support offloading of Relay patterns to cuDNN. In this initial commit, only softmax is supported.
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cc @masahi @mbrookhart @junrushao1994 PTAL and merge if you're happy :) |
* [CUDNN] Add cuDNN as a Relay partitioning target (BYOC) This adds infrastructure to support offloading of Relay patterns to cuDNN. In this initial commit, only softmax is supported. * Refactor common TE BYOC code into separate file * Add test guard
* [CUDNN] Add cuDNN as a Relay partitioning target (BYOC) This adds infrastructure to support offloading of Relay patterns to cuDNN. In this initial commit, only softmax is supported. * Refactor common TE BYOC code into separate file * Add test guard
* [CUDNN] Add cuDNN as a Relay partitioning target (BYOC) This adds infrastructure to support offloading of Relay patterns to cuDNN. In this initial commit, only softmax is supported. * Refactor common TE BYOC code into separate file * Add test guard
This adds infrastructure to support offloading of Relay patterns to cuDNN. In this initial commit, only softmax is supported. Later PRs will include support for more operators, including some limited fused patterns.