commit | 9167c9cd1c684218f76a3c0ec97574dd6f381b98 | [log] [tgz] |
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author | Gunes Bayir <gunes.bayir@arm.com> | Wed Mar 06 09:58:40 2024 +0000 |
committer | Gunes Bayir <gunes.bayir@arm.com> | Mon Mar 11 10:02:41 2024 +0000 |
tree | 7a9608f1f6861ad164697a0bbdc784be92a8d3e5 | |
parent | e77736fe4150648d2fd0649cf61c1bade928d69d [diff] |
Prefer indirect Gemm vs. Direct convolution if supported Indirect GEMM uses optimized assembly path while Direct Conv uses the fallback Acl kernel for convolution. In certain cases, where the input tensor is large and filter size is greater than 7 (e.g. 9x9 filters), heuristics fall back to Direct Conv algorithm where it could still prefer the assembly path if the data layout is NHWC. This is more important when SME2 kernels are present. Resolves: COMPMID-6900 Change-Id: Ia611c975eee0423615113fcaeaa8f9eef0421456 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11254 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Anitha Raj <Anitha.Raj@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
⚠ Deprecation Notice 24.01 announcement: NCHW data format specific optimizations will gradually be removed from the code base in future releases. The implication of this is that the user is expected to translate NCHW models into NHWC in order to benefit from the optimizations.
The Compute Library is a collection of low-level machine learning functions optimized for Arm® Cortex®-A, Arm® Neoverse® and Arm® Mali™ GPUs architectures.
The library provides superior performance to other open source alternatives and immediate support for new Arm® technologies e.g. SVE2.
Key Features:
Repository | Link |
---|---|
Release | https://github.com/arm-software/ComputeLibrary |
Development | https://review.mlplatform.org/#/admin/projects/ml/ComputeLibrary |
Note: The documentation includes the reference API, changelogs, build guide, contribution guide, errata, etc.
All the binaries can be downloaded from here or from the tables below.
Platform | Operating System | Release archive (Download) |
---|---|---|
Raspberry Pi 4 | Linux® 32bit | |
Raspberry Pi 4 | Linux® 64bit | |
Odroid N2 | Linux® 64bit | |
HiKey960 | Linux® 64bit |
Architecture | Operating System | Release archive (Download) |
---|---|---|
armv7 | Linux® | |
arm64-v8a | Android™ | |
arm64-v8a | Linux® | |
arm64-v8.2-a | Android™ | |
arm64-v8.2-a | Linux® |
Please refer to the following link for more pre-built binaries:
Pre-build binaries are generated with the following security / good coding practices related flags:
-Wall, -Wextra, -Wformat=2, -Winit-self, -Wstrict-overflow=2, -Wswitch-default, -Woverloaded-virtual, -Wformat-security, -Wctor-dtor-privacy, -Wsign-promo, -Weffc++, -pedantic, -fstack-protector-strong
Arm® CPUs:
Arm® Mali™ GPUs:
x86
⚠ Important Bazel and CMake builds are experimental CPU only builds, please see the documentation for more details.
Contributions to the Compute Library are more than welcome. If you are interested on contributing, please have a look at our how to contribute guidelines.
Before the Compute Library accepts your contribution, you need to certify its origin and give us your permission. To manage this process we use the Developer Certificate of Origin (DCO) V1.1 (https://developercertificate.org/)
To indicate that you agree to the the terms of the DCO, you "sign off" your contribution by adding a line with your name and e-mail address to every git commit message:
Signed-off-by: John Doe <john.doe@example.org>
You must use your real name, no pseudonyms or anonymous contributions are accepted.
For technical discussion, the ComputeLibrary project has a public mailing list: acl-dev@lists.linaro.org The list is open to anyone inside or outside of Arm to self subscribe. In order to subscribe, please visit the following website: https://lists.linaro.org/mailman3/lists/acl-dev.lists.linaro.org/
The software is provided under MIT license. Contributions to this project are accepted under the same license.
This project contains code from other projects as listed below. The original license text is included in those source files.
The OpenCL header library is licensed under Apache License, Version 2.0, which is a permissive license compatible with MIT license.
The half library is licensed under MIT license.
The libnpy library is licensed under MIT license.
The stb image library is either licensed under MIT license or is in Public Domain. It is used by this project under the terms of MIT license.
Android is a trademark of Google LLC.
Arm, Cortex, Mali and Neon are registered trademarks or trademarks of Arm Limited (or its subsidiaries) in the US and/or elsewhere.
Bazel is a trademark of Google LLC., registered in the U.S. and other countries.
CMake is a trademark of Kitware, Inc., registered in the U.S. and other countries.
Linux® is the registered trademark of Linus Torvalds in the U.S. and other countries.
Mac and macOS are trademarks of Apple Inc., registered in the U.S. and other countries.
Tizen is a registered trademark of The Linux Foundation.
Windows® is a trademark of the Microsoft group of companies.