commit | 29a0b471b3baf889781981a9c8e4afefc676e024 | [log] [tgz] |
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author | MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com> | Wed Aug 18 09:13:10 2021 -0700 |
committer | GitHub <noreply@github.com> | Wed Aug 18 09:13:10 2021 -0700 |
tree | 4121226de93ab074026fe7d08851b31d25bb5a27 | |
parent | bf378dbf8aaa36b49d7d9f75e74187b94a7696b6 [diff] |
Move bufferization before configuration selection. (#6789) * Move bufferization before configuration selection. Current configuraiton selection in presence of operand fusion relies on getting the original problem size. The current approach works reliably only on buffer ops. So move bufferization before configuration selection. * Re-enable operand fusion for Adrenos. Setting a default configuration for the root ops allows operand fusion on adrenos as well. * Address comment.
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!
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.