Luca Antiga

[http://ki-lang.org/api.html#chain](chain) should work in your case ``` (chain an_obj_or_a_form_returning_one (then arg) (catch arg)) ``` Let me know if this is not the case.

Hi @Fawzikhattar, this is scheduled to happen after the 1.2.0 release. Feel free to describe your use case, so we can take it into account during the design.

I could reproduce, just FYI I get this warning > ONNX Runtime only *guarantees* support for models stamped with opset version 7 or above for opset domain 'ai.onnx'. Please upgrade...

The `Small` label is for Tensors, feasibility for Models, especially for CPU memory, is TBD

@K-Jo for GA?

The bottomline is that we need to exclude `io_ops` (see https://www.tensorflow.org/api_docs/cc/group/io-ops) upon importing in `MODELSET`, or (maybe simpler for now) return an error from `MODELSET` if the graph contains any...

A complete description on how to save a JIT'ed model in PyTorch is here: https://pytorch.org/tutorials/advanced/cpp_export.html For simple models, you can follow this: https://github.com/RedisAI/redisai-examples/blob/master/models/imagenet/pytorch/model_saver.py We certainly need good documentation on how...

I was also thinking something on these lines. Absolutely, by all means feel free to move ahead with this.

We could start with ONNXRuntime first and then maybe extend. In any case it only makes sense for CPU runs.

Thank you @rafie, I'll take a look today. I'm developing on macOS 10.15. When I run ``` python -m RLTest --module install-cpu/redisai.so --test test/basic_tests.py ``` from my build directory, all...