NOISSUE - Enable WASM Support and FileSystem Support #189
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Signed-off-by: Rodney Osodo <socials@rodneyosodo.com>
Move from unix socket for results storage to filesystem
Signed-off-by: Rodney Osodo <socials@rodneyosodo.com>
Wasmedge enables easier directory mapping to get results Signed-off-by: Rodney Osodo <socials@rodneyosodo.com>
Create a new function to zip the results directory and send it back to the user
Fix the directory mapping for wasm runtime arguments Signed-off-by: Rodney Osodo <socials@rodneyosodo.com>
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Signed-off-by: Rodney Osodo <socials@rodneyosodo.com>
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SammyOina
requested changes
Jul 31, 2024
| const ResultsDir = "results" | ||
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| // ZipDirectory zips a directory and returns the zipped bytes. | ||
| func ZipDirectory() ([]byte, error) { |
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also add a wasm example for the lin reg example, in the test directory |
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datasets should be stored in |
also modify the lin_reg example here |
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Signed-off-by: Rodney Osodo <socials@rodneyosodo.com>
Document steps on running the 2 python exampls and ensure they are running on eos Signed-off-by: Rodney Osodo <socials@rodneyosodo.com>
SammyOina
requested changes
Aug 2, 2024
SammyOina
requested changes
Aug 4, 2024
Signed-off-by: Rodney Osodo <socials@rodneyosodo.com>
This was referenced Aug 5, 2024
SammyOina
approved these changes
Aug 6, 2024
SammyOina
approved these changes
Aug 6, 2024
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What type of PR is this?
This PR is a feature because it adds support of running wasm algorithms and also adds support for using filesystem to store results for the different algorithms
What does this do?
This pull request introduces support for WebAssembly (Wasm) as a new algorithm type, refactors algorithm creation functions, enhances error handling and logging, updates the CLI for result file path specification, changes the agent build configuration, and updates the Protobuf compiler version in the CI workflow.
New Features
Improvements
NewAlgorithm.Configuration Changes
CI:
Which issue(s) does this PR fix/relate to?
No issue
Have you included tests for your changes?
Tested manually for binary and wasm targets for https://github.com/ultravioletrs/ai/tree/main/burn-algorithms
Did you document any new/modified feature?
To be updated on https://github.com/ultravioletrs/cocos-docs
Notes