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Yung-sheng Tu 760f9e1d0a [rocm-libraries] ROCm/rocm-libraries#7104 (commit 0fab8d8)

[CK TILE] Unification Work – Add MFMA specialisations for `fp64_t` (#7104)

## Motivation

This PR adds two specialisations related to `fp64_t`.

## Technical Details

This adds two new specialisations for MFMA dense builtins, and adjusts
ABLayout and CLayout to L{K1BM} and L{M1BN}.

## Test Plan

All the new wrappers were added to the test suite in
test_amdgcn_mma_layout.inc.

## Test Result

Test should pass.

## Submission Checklist

- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.

2026-05-26 10:49:36 +00:00

algorithm

[rocm-libraries] ROCm/rocm-libraries#7528 (commit b4cae6f)

2026-05-20 17:25:22 +03:00

arch

[rocm-libraries] ROCm/rocm-libraries#7104 (commit 0fab8d8)

2026-05-26 10:49:36 +00:00

container

[rocm-libraries] ROCm/rocm-libraries#7612 (commit 5427d24)

2026-05-22 02:43:50 +00:00

numeric

[rocm-libraries] ROCm/rocm-libraries#6088 (commit 6ac353c)

2026-05-20 12:36:13 +00:00

tensor

[rocm-libraries] ROCm/rocm-libraries#7612 (commit 5427d24)

2026-05-22 02:43:50 +00:00

utility

[rocm-libraries] ROCm/rocm-libraries#7612 (commit 5427d24)

2026-05-22 02:43:50 +00:00

config.hpp

[rocm-libraries] ROCm/rocm-libraries#6978 (commit e58096d)

2026-05-15 06:46:51 -07:00

README.md

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README.md

ck_tile/core

ck_tile/core contains every basic functions and structures to create a GPU kernel using ck_tile. User should only include ck_tile/core.hpp this single header to use all the functionality. Everything is under ck_tile namespace. The coding style under this folder should be similar to std (snake_case for structure/function, Camel for template types...)

algorithm/
    coordinate transform and some other reusable algorithm
arch/
    contains some basic device building block like mma, buffer addressing, etc...
container/
    contains basic container data structure, array/sequence/tuple/...
numeric/
    data type, and data type related math
tensor/
    tensor descriptors and tile level API
utility/
    other utility function for both host/device