commit | c2cb11a5fcca5147f30bbd5d5b06a1c511f0736c | [log] [tgz] |
---|---|---|
author | Han-Chung Wang <hanhan0912@gmail.com> | Fri Feb 14 15:05:23 2025 -0800 |
committer | GitHub <noreply@github.com> | Fri Feb 14 15:05:23 2025 -0800 |
tree | 40ad0d4e41f0450b0e0cb0dce62bb2e048961fb1 | |
parent | 3e424a953bdcad21f84013678a3b74d374a59034 [diff] |
[Stream] Add support for executable duplication for tied operand cases. (#19953) Previously, it did not consider the case that results have tied operands. In the cases that have tied operands, we have to skip the result encodings. Because the binding is shared between the tied operand and the result. The function does not have the argument (i.e., duplicated binding) for the result. In the revision, we tighten the definition of `stream.tensor.dispatch` op. In the past, it allows the type of result being different from the tied operand. Now we require any tied result must have a matching encoding. Because they share the same bindings, and it is hard to track which encoding is used in which binding today. Adding the check to the verifier allows us to catch it early when the op is lowered from flow. --------- Signed-off-by: hanhanW <hanhan0912@gmail.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.
Releases notes are published on GitHub releases.
Package | Release status |
---|---|
GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-base-compiler | |
Python iree-base-runtime |
Operating system | Build status |
---|---|
Linux | |
macOS | |
macOS | |
Windows |
For the full list of workflows see https://iree.dev/developers/general/github-actions/.
See our website for more information.
Community meeting recordings: IREE YouTube channel
Date | Title | Recording | Slides |
---|---|---|---|
2021-06-09 | IREE Runtime Design Tech Talk | recording | slides |
2020-08-20 | IREE CodeGen (MLIR Open Design Meeting) | recording | slides |
2020-03-18 | Interactive HAL IR Walkthrough | recording | |
2020-01-31 | End-to-end MLIR Workflow in IREE (MLIR Open Design Meeting) | recording | slides |
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.