Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (14.2%) to scientific vocabulary
Repository
composable_kernel for tvm
Basic Info
- Host: GitHub
- Owner: Cydia2018
- License: other
- Language: C++
- Default Branch: develop
- Size: 10.5 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
Composable Kernel
Methodology
Composable Kernel (CK) library aims to provide a programming model for writing performance critical kernels for machine learning workloads across multiple architectures including GPUs, CPUs, etc, through general purpose kernel languages, like HIP C++.
CK utilizes two concepts to achieve performance portability and code maintainability: * A tile-based programming model * Algorithm complexity reduction for complex ML operators, using innovative technique we call "Tensor Coordinate Transformation".

Code Structure
Current CK library are structured into 4 layers: * "Templated Tile Operators" layer * "Templated Kernel and Invoker" layer * "Instantiated Kernel and Invoker" layer * "Client API" layer

Documentation
Run the steps below to build documentation locally.
cd docs
pip3 install -r sphinx/requirements.txt
python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
Contributors
The list of developers and contributors is here: Contributors
Citation
If you use CK, please use following citations: * CK paper will be freely available on arXiv soon: Realizing Tensor Operators Using Coordinate Transformations and Tile Based Programming * CITATION.cff
License
CK is released under the MIT license. License File
Build CK
Build docker image
bash
DOCKER_BUILDKIT=1 docker build -t ck:latest -f Dockerfile .
Pre-built dockers are available from this public repo:
https://hub.docker.com/r/rocm/composable_kernel/tags
Launch docker
bash
docker run \
-it \
--privileged \
--group-add sudo \
-w /root/workspace \
-v ${PATH_TO_LOCAL_WORKSPACE}:/root/workspace \
ck:latest \
/bin/bash
Build CK
```bash mkdir build && cd build
Need to specify target ID, example below is for gfx908 and gfx90a
cmake \ -D CMAKEPREFIXPATH=/opt/rocm \ -D CMAKECXXCOMPILER=/opt/rocm/bin/hipcc \ -D CMAKEBUILDTYPE=Release \ -D GPU_TARGETS="gfx908;gfx90a" \ .. ```
If GPU_TARGETS is not set on the cmake command line, CK will be built for all targets supported by the current compiler.
Additional cmake flags can be used to significantly speed-up the build:
INSTANCES_ONLY (by default is OFF) must be set to ON in order to build only the instances and library while skipping all tests, examples, and profiler. This is useful for libraries that use CK as a dependency.
DTYPES (by default not set) can be set to any subset of "fp64;fp32;fp16;fp8;bf16;int8" to build instances of select data types only. Currently, building of int8 instances is taking a lot of time (the compiler fix is in the works).
DLKERNELS (by default is OFF) must be set to ON in order to build the gemmdl and batchedgemmmultiddl instances. Those instances are only needed for the NAVI2x platforms.
Build examples and tests
bash
make -j examples tests
make test
Instructions for running each individual examples are under example
Build ckProfiler
bash
make -j ckProfiler
Instructions for running ckProfiler are under profiler
Install CK
bash
make install
Using CK as pre-built kernel library
Instructions for using CK as a pre-built kernel library are under client_example
Contributing
When you contribute to Composable Kernel, make sure to run clang-format on all the changed files. We highly recommend using git hooks that are managed by the pre-commit framework. To install hooks, run:
bash
sudo script/install_precommit.sh
This way, pre-commit will add the appropriate hooks to your local repository and automatically run clang-format (and possibly additional checks) before any commit is created.
If you need to uninstall hooks from the repository, you can do so by running the following command:
bash
script/uninstall_precommit.sh
If for any reason, you need to temporarily disable precommit hooks, you can add the --no-verify option to the git commit command.
Caveat
Kernel Timing and Verification
CK's own kernel timer will warn up kernel once, and then run it multiple times to get average kernel time. For some kernels that use atomic add, this will cause output buffer to be accumulated multiple times, causing verification failure. To work around it, do not use CK's own timer and do verification at the same time. CK's own timer and verification in each example and ckProfiler can be enabled or disabled from command line.
Owner
- Login: Cydia2018
- Kind: user
- Repositories: 33
- Profile: https://github.com/Cydia2018
Citation (CITATION.cff)
cff-version: 1.2.0
title: Composable Kernel
message: If you use this software, please cite using the following metadata.
type: software
authors:
- given-names: Chao
family-names: Liu
email: chao.liu2@amd.com
affiliation: AMD
- given-names: Jing
family-names: Zhang
email: jing.zhang3@amd.com
affiliation: AMD
- given-names: Letao
family-names: Qin
email: letao.qin@amd.com
affiliation: AMD
- given-names: Qianfeng
family-names: Zhang
email: qianfeng.zhang@amd.com
affiliation: AMD
- given-names: Liang
family-names: Huang
email: carlus.huang@amd.com
affiliation: AMD
- given-names: Shaojie
family-names: Wang
email: shaojie.wang@amd.com
affiliation: AMD
- given-names: Anthony
family-names: Chang
email: antc@amd.com
affiliation: AMD
- given-names: Chunyu
family-names: Lai
email: chunyu.lai@amd.com
affiliation: AMD
- given-names: Illia
family-names: Silin
email: illia.silin@amd.com
affiliation: AMD
- given-names: Adam
family-names: Osewski
email: adam.osewski@amd.com
affiliation: AMD
- given-names: Poyen
family-names: Chen
email: poyen.chen@amd.com
affiliation: AMD
- given-names: Rosty
family-names: Geyyer
email: rosty.geyyer@amd.com
affiliation: AMD
- given-names: Hanwen
family-names: Chen
- given-names: Tejash
family-names: Shah
- given-names: Xiaoyan
family-names: Zhou
- given-names: Jianfeng
family-names: Yan
repository-code: 'https://github.com/ROCmSoftwarePlatform/composable_kernel'
abstract: Composable Kernel (CK) library aims to provide a programming model for writing performance critical kernels for Machine Learning workloads across multiple architectures including GPUs, CPUs, etc, through general purpose kernel progarmming languages, like HIP C++.
keywords:
- 'CK, Composable Kernel, Tensor Coordinate Transformation'
license: MIT
license-url: https://github.com/ROCmSoftwarePlatform/composable_kernel/blob/7fc3ed761aa35709d87c8fbbe41dd368648b3541/LICENSE
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Dependencies
- ubuntu 20.04 build
- ROCmSoftwarePlatform * development
- RadeonOpenCompute * development
- danmar * development
- rocm-docs-core >=0.20.0
- sphinxcontrib-bibtex ==2.5.0
- accessible-pygments ==0.0.3
- alabaster ==0.7.13
- babel ==2.12.1
- beautifulsoup4 ==4.11.2
- breathe ==4.34.0
- certifi ==2022.12.7
- cffi ==1.15.1
- charset-normalizer ==3.1.0
- click ==8.1.3
- cryptography ==40.0.2
- deprecated ==1.2.13
- docutils ==0.16
- fastjsonschema ==2.18.0
- gitdb ==4.0.10
- gitpython ==3.1.31
- idna ==3.4
- imagesize ==1.4.1
- jinja2 ==3.1.2
- latexcodec ==2.0.1
- markdown-it-py ==2.2.0
- markupsafe ==2.1.2
- mdit-py-plugins ==0.3.5
- mdurl ==0.1.2
- myst-parser ==1.0.0
- packaging ==23.0
- pybtex ==0.24.0
- pybtex-docutils ==1.0.2
- pycparser ==2.21
- pydata-sphinx-theme ==0.13.3
- pygithub ==1.58.2
- pygments ==2.14.0
- pyjwt ==2.6.0
- pynacl ==1.5.0
- pyyaml ==6.0
- requests ==2.28.2
- rocm-docs-core >=0.20.0
- six ==1.16.0
- smmap ==5.0.0
- snowballstemmer ==2.2.0
- soupsieve ==2.4
- sphinx ==5.3.0
- sphinx-book-theme ==1.0.1
- sphinx-copybutton ==0.5.1
- sphinx-design ==0.3.0
- sphinx-external-toc ==0.3.1
- sphinx-notfound-page ==0.8.3
- sphinxcontrib-applehelp ==1.0.4
- sphinxcontrib-bibtex ==2.5.0
- sphinxcontrib-devhelp ==1.0.2
- sphinxcontrib-htmlhelp ==2.0.1
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-qthelp ==1.0.3
- sphinxcontrib-serializinghtml ==1.1.5
- typing-extensions ==4.5.0
- urllib3 ==1.26.15
- wrapt ==1.15.0