commit | 9a8323908f78f47d781eb9a73154271316000d95 | [log] [tgz] |
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author | Nirvedh Meshram <96096277+nirvedhmeshram@users.noreply.github.com> | Tue Jan 07 14:34:53 2025 -0600 |
committer | GitHub <noreply@github.com> | Tue Jan 07 14:34:53 2025 -0600 |
tree | cc8d9ab55c010c1d2a80ff451b5a99c94ba1b22a | |
parent | 7047cc376ef4b01ecf51cd97e483b0933cf2e321 [diff] |
[GPU] Add chained reshape support for scf.forall expand destination pattern (#19597) Currently when expanding scf.forall we make trivially foldable expand.shape ops (same source and destination ranks) with a wrong reassociation map. However, if there is another expand.shape consumer to these ops then the upstream `ComposeReassociativeReshapeOps` can merge these into a wrong expand.shape op that leads to error. So we just replace the uses of these expand op to avoid this issue. Signed-off-by: Nirvedh Meshram <nirvedh@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 |
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GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-base-compiler | |
Python iree-base-runtime |
Operating system | Build status |
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Linux | |
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 |
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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.