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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-08-13 15:17:21 +0100 |
|---|---|---|
| committer | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-08-14 13:16:36 +0100 |
| commit | 97781ad95612cb6e1ec523141798408eae915a84 (patch) | |
| tree | f64e2b959f02c2cf323a7195e3f8686e9e475283 | |
| parent | 21a1f6587db345badeab6b94ebf630c85ca7548d (diff) | |
| download | ComputeLibrary-97781ad95612cb6e1ec523141798408eae915a84.tar.gz | |
COMPMID-2553: Update readme
Change-Id: I012bee409a0e88acc6b93cbfe4a2d3d98d4445ba
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1736
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
| -rw-r--r-- | README.md | 11 |
1 files changed, 11 insertions, 0 deletions
@@ -12,17 +12,26 @@ Please report issues here: https://github.com/ARM-software/ComputeLibrary/issues News: +- [Gian Marco's talk on Performance Analysis for Optimizing Embedded Deep Learning Inference Software](https://www.embedded-vision.com/platinum-members/arm/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit) - [Gian Marco's talk on optimizing CNNs with Winograd algorithms at the EVS](https://www.embedded-vision.com/platinum-members/arm/embedded-vision-training/videos/pages/may-2018-embedded-vision-summit-iodice) - [Gian Marco's talk on using SGEMM and FFTs to Accelerate Deep Learning](https://www.embedded-vision.com/platinum-members/arm/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-iodice) Related projects: - [Arm NN SDK](https://github.com/arm-software/armnn) + +Tutorials: + - [Tutorial: Cartoonifying Images on Raspberry Pi with the Compute Library](https://community.arm.com/graphics/b/blog/posts/cartoonifying-images-on-raspberry-pi-with-the-compute-library) - [Tutorial: Running AlexNet on Raspberry Pi with Compute Library](https://community.arm.com/processors/b/blog/posts/running-alexnet-on-raspberry-pi-with-compute-library) +Blogs: + +- [Happy Birthday ACL!](https://community.arm.com/developer/tools-software/graphics/b/blog/posts/arm-compute-library-19-05-is-coming) + Documentation available here: +- [v19.08](https://arm-software.github.io/ComputeLibrary/v19.08/) - [v19.05](https://arm-software.github.io/ComputeLibrary/v19.05/) - [v19.02](https://arm-software.github.io/ComputeLibrary/v19.02/) - [v18.11](https://arm-software.github.io/ComputeLibrary/v18.11/index.xhtml) @@ -41,6 +50,8 @@ Documentation available here: Binaries available here: +- [v19.08-linux](https://github.com/ARM-software/ComputeLibrary/releases/download/v19.08/arm_compute-v19.08-bin-linux.tar.gz) +- [v19.08-android](https://github.com/ARM-software/ComputeLibrary/releases/download/v19.08/arm_compute-v19.08-bin-android.tar.gz) - [v19.05-linux](https://github.com/ARM-software/ComputeLibrary/releases/download/v19.05/arm_compute-v19.05-bin-linux.tar.gz) - [v19.05-android](https://github.com/ARM-software/ComputeLibrary/releases/download/v19.05/arm_compute-v19.05-bin-android.tar.gz) - [v19.02-linux](https://github.com/ARM-software/ComputeLibrary/releases/download/v19.02/arm_compute-v19.02-bin-linux.tar.gz) |