[Codegen] Fix ConvertAccGemmToGemm to handle read-write arguments correctly. (#22975)
The current pass unconditionally converts from an accumulating GEMM to a
non-accumulating GEMM. This transformation is only required when the
`outs` arguments is coming from a read-only buffer. When coming from a
read-write buffer, the accumulating gemm can be handled as is, and it
does not need to converted to a non-accumulating gemm.
For a function input like
```
func.func @acc_gemm(%lhs : tensor<?x?xf32>, %rhs: tensor<?x?xf32>,
%init : tensor<?x?xf32> {iree.abi.output = 0}) -> tensor<?x?xf32> {
%0 = linalg.matmul ins(%lhs, %rhs : tensor<?x?xf32>, tensor<?x?xf32>)
outs(%init : tensor<?x?xf32>) -> tensor<?x?xf32>
return %0 : tensor<?x?xf32>
}
```
The dispatch sees an single `init` binding that is read-write. In those
cases we dont need to convert the `linalg.matmul` into a
non-accumulating GEMM. This case can be (and is currently) handled
natively.
ci-extra: test_torch
---------
Signed-off-by: MaheshRavishankar <mahesh.ravishankar@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.
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| Date | Title | Recording | Slides |
|---|---|---|---|
| 2025-06-10 | Data-Tiling in IREE: Achieving High Performance Through Compiler Design (AsiaLLVM) | recording | slides |
| 2025-05-17 | Introduction to GPU architecture and IREE's GPU CodeGen Pipeline | recording | slides |
| 2025-02-12 | The Long Tail of AI: SPIR-V in IREE and MLIR (Vulkanised) | recording | slides |
| 2024-10-01 | Unveiling the Inner Workings of IREE: An MLIR-Based Compiler for Diverse Hardware | recording | |
| 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 |
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