| commit | 61439f99e64d569cea01b3874cfb9a23af8bdd85 | [log] [tgz] |
|---|---|---|
| author | Cindy Liu <hcindyl@google.com> | Wed May 10 16:57:31 2023 -0700 |
| committer | Cindy Liu <hcindyl@google.com> | Wed May 10 20:05:39 2023 -0700 |
| tree | 2a2d58b7f1038e31f97229127f08fb7afd74bb3b | |
| parent | f125b9eb2b2bb595709811e4f166dee270b35394 [diff] |
install-prereq: Specify flatbuffers python version explicitly Assign a version for the flatbuffers python installed from the local repo with a value that is agreed with tensorflow. This local python module might not actually work with the full tensorflow 2 functionality, but it works for the ML work this project cares about (TFLite -> TOSA HLO) Change-Id: I9d4afd4addbc6910014a8b431cfc59e367ed441d
Shodan is a project to build a low-power secure embeded platform for Ambient ML applications. The target platform leverages RISC-V and OpenTitan.
This directory holds scripts used in developing Shodan:
[more scripts will appear here as more of the project is released]
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