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As a user of tract for deploying ONNX models on edge and embedded targets, the ONNX Steering Committee, Special Interest Groups, and Working Groups would love your input — we're running a short community survey to shape the future direction of the ONNX standard.
You're working at a unique edge of the ONNX ecosystem: a pure-Rust inference engine built for resource-constrained environments, prioritizing correctness, minimal footprint, and production reliability without heavy runtime dependencies. That perspective — what operator coverage gaps affect you, where the spec creates friction for on-device deployment, and what would make ONNX models more tractable (pun intended) for real-world edge use — is exactly the kind of signal we need.
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Hi everyone!
As a user of tract for deploying ONNX models on edge and embedded targets, the ONNX Steering Committee, Special Interest Groups, and Working Groups would love your input — we're running a short community survey to shape the future direction of the ONNX standard.
You're working at a unique edge of the ONNX ecosystem: a pure-Rust inference engine built for resource-constrained environments, prioritizing correctness, minimal footprint, and production reliability without heavy runtime dependencies. That perspective — what operator coverage gaps affect you, where the spec creates friction for on-device deployment, and what would make ONNX models more tractable (pun intended) for real-world edge use — is exactly the kind of signal we need.
👉 https://docs.google.com/forms/d/18yfgInQBjJu7GChzbpptIRgY1jopDyqEnxLw86FNwFI
Takes just a few minutes — thanks for helping steer the standard!
Andreas Fehlner (ONNX Steering Committee)
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