commit | 2aec5f1870b6cd5edd7de6403b5cf75530eb77f5 | [log] [tgz] |
---|---|---|
author | Gunes Bayir <gunes.bayir@arm.com> | Tue Jan 23 17:19:44 2024 +0000 |
committer | Gunes Bayir <gunes.bayir@arm.com> | Wed Jan 24 10:19:57 2024 +0000 |
tree | e922f0b067c6ddd698aff636b2d5df29adecb681 | |
parent | 277def486d09eeea424b05369a95f66d987c9909 [diff] |
Fix tolerance issue in BF16 MatMul tests BF16 kernels are not expected to have the same tolerance/accuracy standards as full float kernels. The reference implementation is a standard floating point implementation, thus resulting in small mismatches. We increase the tolerance of the MatMul BF16 tests, and add more tests to cover more shapes. Previously, the only tested bf16 kernel was a64_hybrid_fp32bf16fp32_mmla_4x24. With the inclusion of new shapes, heuristics also choose a64_hybrid_fp32bf16fp32_mmla_6x16 and stress this kernel as well, covering every implementation. Resolves: COMPMID-6654 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I15342606912013c123b94c7e0ea2e6bbb25680d7 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11014 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: 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.
⚠ Important From release 23.02: The 23.02 release introduces a change to the default tensor extend padding behavior. To remain compatible with previous behavior, users will need to set the new flag
ITensorInfo::lock_paddings()
on tensors for which paddings should not be extended, such as the input and output of the model that need to be mapped to a camera frame or frame buffer.
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.