commit | 29e70abcd352a4d037509e6ecf5e52507b738f4e | [log] [tgz] |
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author | Scott Todd <scott.todd0@gmail.com> | Tue May 28 12:48:55 2024 -0700 |
committer | GitHub <noreply@github.com> | Tue May 28 12:48:55 2024 -0700 |
tree | cc38ef9351f9baf12362e79c63cf762ced703cb8 | |
parent | a6a56a97ae070c2a1a290841e99ec1a396e99101 [diff] |
Update onnx package version minimum to 1.16.0. (#17504) As discovered on https://github.com/iree-org/iree/pull/17476#discussion_r1617673191, this is needed to avoid an error running `iree-import-onnx` on certain test files: > onnx.onnx_cpp2py_export.checker.ValidationError: Your model ir_version 10 is higher than the checker's (9). If we care about supporting older onnx package versions, we could add some fallback code to `iree-import-onnx`. We may also want to update the version used in torch-mlir? https://github.com/llvm/torch-mlir/blob/e0a5adb1db38b0072c44b87570bc530eb3b324ad/setup.py#L264
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.
Community meeting recordings: IREE YouTube channel
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.