I'd like to use this with the pretrained pyannote, but it uses ONNX ML opset version 4, which isn't supported by 1.14.
I attempted the upgrade naively and got:
Compiling ortex v0.1.0 (/Users/johndavenport/Documents/github/desktop-example-app-main/deps/ortex/native/ortex)
error[E0432]: unresolved import `ort::tensor::InputTensor`
--> src/model.rs:19:5
|
19 | tensor::InputTensor, LoggingLevel, OrtError,
| ^^^^^^^^^^^^^^^^^^^ no `InputTensor` in `tensor`
error[E0432]: unresolved imports `ort::tensor::DynOrtTensor`, `ort::tensor::FromArray`, `ort::tensor::InputTensor`
--> src/tensor.rs:4:19
|
4 | use ort::tensor::{DynOrtTensor, FromArray, InputTensor, TensorElementDataType};
| ^^^^^^^^^^^^ ^^^^^^^^^ ^^^^^^^^^^^ no `InputTensor` in `tensor`
| | |
| | no `FromArray` in `tensor`
| no `DynOrtTensor` in `tensor`
For more information about this error, try `rustc --explain E0432`.
error: could not compile `ortex` (lib) due to 2 previous errors
I'd like to use this with the pretrained pyannote, but it uses ONNX ML opset version 4, which isn't supported by 1.14.
I attempted the upgrade naively and got:
Is this trivial for you to do?