Ipykernel dies when .compile() method runs/completes

[yusuf-jkhan1]

Summary

Ipykernel dies when .compile() method runs/completes

Description

On MacOS with Docker.
Ran docker pull of latest concrete-numpy image.
Ran docker from terminal with docker run --rm -it -p 8888:8888 <image_id>

When running first concrete-numpy example kernel dies and restarts when .compile() method is called

import concrete.numpy as cnp

def add(x, y):
    return x + y

compiler = cnp.Compiler(add, {"x": "encrypted", "y": "encrypted"})
inputset = [(2, 3), (0, 0), (1, 6), (7, 7), (7, 1), (3, 2), (6, 1), (1, 7), (4, 5), (5, 4)]

print(f"Compiling...")
circuit = compiler.compile(inputset)

print(f"Generating keys...") #Never printed, kernel crashes and restarts
circuit.keygen()

examples = [(3, 4), (1, 2), (7, 7), (0, 0)]
for example in examples:
    encrypted_example = circuit.encrypt(*example)
    encrypted_result = circuit.run(encrypted_example)
    result = circuit.decrypt(encrypted_result)
    print(f"Evaluation of {' + '.join(map(str, example))} homomorphically = {result}")

Notebook throws this
The kernel appears to have died. It will restart automatically.

Unfortunately jupyter server logs from the running docker container don't seem to show anything useful beyond this:

2023-03-10 22:54:58 [I 07:54:58.381 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports
2023-03-10 22:54:58 WARNING:root:kernel 2f2a2a20-f70b-467d-add5-50da66cc979f restarted

Steps to reproduce

1. $docker pull zamafhe/concrete-numpy:v1.0.0
2. $docker run --rm -it -p 8888:8888 zamafhe/concrete-numpy:v1.0.0
3. Open Jupyter Notebook from token authenticated link provided in docker log
4. Run example python code above.

Misc Details

This is an awesome project and I want to try develop a few unsupervised algorithms not yet in concreteML and tackle some of the bounties you guys have

[umut-sahin]

We're aware of some issues with macOS and docker at the moment, we're investigating. I'll keep you updated in this issue once the bug is fixed and the fix is released.

[aquint-zama]

the new version of concrete-numpy (renamed concrete-python) now supports Apple Silicon processor, could you please install concrete-python 1.0.0, look at this UPGRADING.md document and see if it fixes your issue?