commit | ec9d61fcebe22c5b638115597102ec3698bfe236 | [log] [tgz] |
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author | Stella Laurenzo <stellaraccident@gmail.com> | Sat Nov 06 16:14:31 2021 -0700 |
committer | GitHub <noreply@github.com> | Sat Nov 06 16:14:31 2021 -0700 |
tree | 6e632401ad1c2c62a0e5e577373c2384f28e29e1 | |
parent | feb3ab0c33455b0979fe668379b194fd62bf45ff [diff] |
[pydm] Implement sufficient support to run a couple of types of fibonacci (#7301) * Not yet compliant with anything we want but minimally works for default integer sizes (the VM seems to have issues with fp). * Required also building out initial support for tuples and lists in order to get proper support for multiple returns (used for promotion RTL helpers). * Adds while loop. * Various fixes.
IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.
See our website for project details, user guides, and instructions on building from source.
IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!
See our website for more information.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.