Closed KhanMechAI closed 2 weeks ago
gaikwadabhishek
commented
1 month ago This feature request will not be prioritized at this time as it does not align with our current goal of scalable storage. Our primary focus is on storing and providing high throughput for petascale deep learning.
While we may consider supporting this feature in the future, our team currently has other objectives/issues that require immediate attention.
KhanMechAI
commented
2 weeks ago I may be able to find some time to try and help, any chance you have a rough idea what might need to be done? Would a naive “fix it till it builds” be ok, or would I need to have a better grasp of the code/design?
alex-aizman
commented
2 weeks ago That'd be awesome if you give it a shot! The first step is crystal clear: port the following few assorted sources to arm64:
$ find . -type f -name "*_linux.go"
./fs/fs_linux.go
./cmn/cos/err_linux.go
./sys/proc_linux.go
./sys/api_linux.go
./sys/mem_linux.go
./sys/cpu_linux.go
./ios/diskstats_linux.go
./ios/dutils_linux.go
./ios/fsutils_linux.goIn the end, we are supposed to see the same filenames with "_arm" suffix instead of "_linux".
Compare with MacOS port that we do have: find . -type f -name "*_darwin.go"
Describe the feature
I'd like to run this on an NVIDIA Jetson, so an arm64 build would be great.
Use Case
Embedded storage
Proposed Solution
Modify platform specific api's to use generic unix api's
Other Information
No response
Acknowledgements
AIStore build (latest, v3.22, ...)
latest
Environment details (OS name and version, etc.)
l4t 35.1