Wasmtime GitHub notifications bot (Mar 31 2022 at 01:58): Wasmtime GitHub notifications bot (Mar 31 2022 at 01:58):brianjjones commented on issue #3977:
Depends on #3978
Wasmtime GitHub notifications bot (Mar 31 2022 at 02:00):brianjjones commented on issue #3977:
@abrown This is the latest Tensorflow backend for WASI-NN using runtime linking.
Wasmtime GitHub notifications bot (Mar 31 2022 at 02:03):brianjjones commented on issue #3977:
This is still a work in progress, mostly because it adds considerable size to Wasmtime. For now I'd like to see this as an added optional feature of the wasi-nn crate, that users can choose to use. It works as intended, but as I said its quite large and slimming it down will take some time. Suggestions, concerns, etc welcomed.
Wasmtime GitHub notifications bot (Sep 01 2022 at 18:19):abrown commented on issue #3977:
@brianjjones, I refactored the
tf.jsfile in this commit. This should address some of the comments I made above. There is more refactoring that could/should be done in that area (fix the custom parsing, evaluate the use ofArcs) but hopefully that commit helps!
Wasmtime GitHub notifications bot (May 03 2023 at 19:01):geekbeast commented on issue #3977:
TensorFlow's security model makes it challenging to support inside of wasi-nn. https://chromium.googlesource.com/external/github.com/tensorflow/tensorflow/+/HEAD/SECURITY.md
In addition, the SavedModel format assumes direct file system access and this is baked pretty deeply into the underlying Keras framework. It should be possible to read/write h5 format for byte stream, but it may break some of the functionality of more complicated models.
One last note-- in Python it should be possible to pass a virtualized filesystem, but this is not exposed cleanly through existing C interfaces.
Last updated: Dec 23 2024 at 12:05 UTC