commit | b35c97f3c23e1d85554f1dea50a0ef740c22c934 | [log] [tgz] |
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author | bjacob <benoitjacob@google.com> | Fri Nov 25 15:17:37 2022 +0000 |
committer | GitHub <noreply@github.com> | Fri Nov 25 10:17:37 2022 -0500 |
tree | 3db884071670c6426e2da7abcf7b9ae4b6810210 | |
parent | 7ec09ce9c21c3193a675f6bc0737f63b8ac32915 [diff] |
Allow encoding info to depend on elem type and target info. (#11290) This makes it an implementation detail of the `MaterializeEncodingFn` to actually use target info and element type to determine real (useful) tile sizes. See how the `iree/compiler/` side does a `IREE::HAL::ExecutableTargetAttr::lookup` from #11057 to get the `target` attribute. Meanwhile, #11291 will make it easy to obtain the details that we need based on that attribute (the existing codebase is still wired to deal with `ExecutableVariantOp`'s, needs to be adapted post #11057). The element type is passed as a function argument, while the target info is not. Accordingly, when we want to actually depend on target info, at the place where we construct a `MaterializeEncodingTypeConverter` passing it a `MaterializeEncodingFn`, we can pass a function that itself depends on target info, as exemplified in this PR by the IREE side change where we pass a lambda capturing `getOperation()`. Motivation for this compromise: - TLDR: minimize PR size. - Long version: If `MaterializeEncodingFn` itself takes an `Operation*` then we need to be able to pass that in the `getMaterializedType` call in the lambda passed to `addConversion` in the the constructor of `MaterializeEncodingTypeConverter`. Fine then, we could have the `MaterializeEncodingTypeConverter` constructor take `getOperation()` as argument, and propagate that all the way down to places where `MaterializeEncodingFn` is called. This works, but results in a ~ 2x bigger PR. In particular, chains of helper functions calling each other, such as `getPackedDimsForDispatchTensor` and `getPackedDynamicDimsForDispatchTensor`, which currently take a `Location`, would now also need to take `Operation*`, and I was starting to wonder whether to drop the `Location` argument, and how I would document what these functions really do with their parameters (if we drop the `Location` arg, then the `Operation*` arg becomes more than just target-information, and it becomes nontrivial to describe its role in this function's semantics).
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.