[Relax][TVMScript] Print ExternFunc struct_info when non-default (#19416) ### Summary 1. Add HasDefaultExternFuncStructInfo helper to detect default FuncStructInfo for extern functions. 2. Update relax::ExternFunc printer to: - emit global_symbol using the correct AccessPath attribute key, - conditionally include struct_info only when it differs from the default inferred-by-sinfo-args derive function, - use a variadic args array instead of a single positional literal to prepare the ExternFunc call. 3. This reduces noisy/redundant output when printing ExternFunc nodes while preserving explicit struct_info when it conveys meaningful information. --------- Co-authored-by: cchung100m <cchung100m@users.noreply.github.com>
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Apache TVM is an open machine learning compilation framework, following the following principles:
TVM is licensed under the Apache-2.0 license.
Check out the TVM Documentation site for installation instructions, tutorials, examples, and more. The Getting Started with TVM tutorial is a great place to start.
TVM adopts the Apache committer model. We aim to create an open-source project maintained and owned by the community. Check out the Contributor Guide.
TVM started as a research project for deep learning compilation. The first version of the project benefited a lot from the following projects:
Since then, the project has gone through several rounds of redesigns. The current design is also drastically different from the initial design, following the development trend of the ML compiler community.
The most recent version focuses on a cross-level design with TensorIR as the tensor-level representation and Relax as the graph-level representation and Python-first transformations. The project's current design goal is to make the ML compiler accessible by enabling most transformations to be customizable in Python and bringing a cross-level representation that can jointly optimize computational graphs, tensor programs, and libraries. The project is also a foundation infra for building Python-first vertical compilers for domains, such as LLMs.