[GPU][Codegen] Allowing mfma for narrow problem config sizes (#19615)

The motivation of this PR is convolution performance for resnet50
configs. With this PR (and a few pending ones), conv performance with
igemm pipeline get decent speedup in situation where a standalone
dimension size is smaller than intrinsic size. (Take dispatch 69 as
example, the select tile m:7, n:512, k:4608 will be rejected from mfma
because m tile is smaller than intrinsic size of 16). This happens
because previously we are too defensive about when to use intrinsic: in
situation when alignment is not required, we still enforce mfma to be
picked up only when m/n/k tiles are all larger than intrinsic size.

With @nirvedhmeshram's https://github.com/iree-org/iree/pull/19271 and
https://github.com/iree-org/iree/pull/19484, padding is allowed in tile
and fuse matmul and igemm tile and fuse pipelines, it is no longer
necessary to be as conservative as before. I am therefore getting rid of
the conditional check that blocks mfma from being picked up.

This will impact a few pipelines that use `canTargetIntrinsic()`:
- `LLVMGPUPadAndVectorDistribute` will allow narrow m/n/k dimension
sizes for batch matmul
- In `iree-codegen-rocdl-configuration-pipeline`, will allow narrow
m/n/k dimension sizes for matmul (instead of warp reduction)

---------

Signed-off-by: jerryyin <zhuoryin@amd.com>
2 files changed
tree: 5ee2df6b15117580c723127b2363d0f34b03a207
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  30. CONTRIBUTING.md
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README.md

IREE: Intermediate Representation Execution Environment

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.

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DateTitleRecordingSlides
2021-06-09IREE Runtime Design Tech Talkrecordingslides
2020-08-20IREE CodeGen (MLIR Open Design Meeting)recordingslides
2020-03-18Interactive HAL IR Walkthroughrecording
2020-01-31End-to-end MLIR Workflow in IREE (MLIR Open Design Meeting)recordingslides

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IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.