zhiics commented on a change in pull request #6170: URL: https://github.com/apache/incubator-tvm/pull/6170#discussion_r462526176
########## File path: docs/deploy/arm_compute_lib.rst ########## @@ -26,6 +26,24 @@ and GPU's. Currently the integration offloads operators to ACL to use hand-craft routines in the library. By offloading select operators from a relay graph to ACL we can achieve a performance boost on such devices. +Installing Arm Compute Library +------------------------------ + +We recommend two different ways to build and install ACL: + +* Use the script located at `docker/install/ubuntu_install_arm_compute_library.sh`. You can use this + script for building ACL from source natively or for cross-compiling the library on an x86 machine. + You may need to change the architecture of the device you wish to compile for by altering the + `target_arch` variable. Binaries will be built from source and installed to the location denoted by + `install_path`. +* Alternatively, you can download and use pre-built binaries from: + https://github.com/ARM-software/ComputeLibrary/releases. When using this package, you will need to + select the binaries for the architecture you require and make sure they are visible to cmake. Review comment: Yeah, I think it would be nicer it we can just provide some simple commands. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
