lhutton1 commented on a change in pull request #6170:
URL: https://github.com/apache/incubator-tvm/pull/6170#discussion_r462841020
##########
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
Review comment:
That's a good point, we could use `lscpu` to display the model name of
the CPU, although I don't think there is an easy way to determine the
architecture directly.
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