feat(0805): Add semantic ONNX names for w_sub exports - #1241
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| class RenameWsubNodesTransform(BaseOnnxTransform): | ||
| """Name local-function operators from their semantic layer parameters.""" | ||
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| _LAYER_PARAMETER_RE = re.compile(r"(?:^|\.)layers\.\d+\.(?P<role>.+)\.weight$") |
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Is this regex applicable to all architectures and generic?
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hmm, would not be fully generic, but this covers the models Perf. team is tracking, so this list should be good for now.
Also, FYI: this would not be much useful when dynamo comes in bdw.
Preserve Hugging Face parameter names during TorchScript w_sub ONNX export and rename local-function weighted nodes from semantic parameter inputs. Adds a graph-only ONNX transform for w_sub node names, registers it for legacy use_onnx_subfunctions=True exports, and bumps the subfunction export cache version to avoid reusing older opaque-name artifacts. Adds focused unit and quickcheck coverage for semantic initializer and node names. Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
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Summary
self_attn/q_proj/MatMuluse_onnx_subfunctions=Truew_sub exportcache version to avoid reusing older opaque ONNX artifactsTests
subfunc"