commit | 45dfc40c8b6f144cba16033942b0c95db09df4d8 | [log] [tgz] |
---|---|---|
author | Nicolas Vasilache <nicolasvasilache@users.noreply.github.com> | Thu Mar 24 09:06:23 2022 +0100 |
committer | GitHub <noreply@github.com> | Thu Mar 24 09:06:23 2022 +0100 |
tree | 81a92cb1cbf8b847486ec8bbadf365a434d4f0ce | |
parent | 2112ed50b1c5f36fae7ec2383cfd18519695ff2c [diff] |
Connect transform dialect passes into IREE. (#8602) * Add a hook to invoke passes from Sandbox. This commit adds a flag `-iree-codegen-use-sandbox-passes` that can be used to transformations from sandbox within IREE in an e2e manner. For now the pipeline just - Sets the number of workgroups to {1, 1, 1} for sequential execution. - Bufferizes the operations and lowers them to loops and LLVM IR. * Connect transform dialect passes into IREE. This revision provides a first connection between IREE and the transform dialect by allowing the orthogonal specification of a linalg_transform file (policy) that is parsed and applied on the fly. Co-authored-by: Mahesh Ravishankar <ravishankarm@google.com>
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.