abiosoft / abiosoft/colima

Rosetta emulation not working in Colima

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Descrizione

### Description

I have been trying to run x86 images in Docker using my M2-Mac. Previously it has been working, but currently I have some issues and system is detected as arm64 instead of x86.

As an example, I have been using Tensorflow serving image [https://www.tensorflow.org/tfx/serving/docker](url)

When I run it, I got following error:

_docker run -t --rm -p 8501:8501 \
-v "$TESTDATA/saved_model_half_plus_two_cpu:/models/half_plus_two" \
-e MODEL_NAME=half_plus_two \
tensorflow/serving
WARNING: The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm64/v8) and no specific platform was requested
/usr/bin/tf_serving_entrypoint.sh: line 3: 7 Illegal instruction (core dumped) tensorflow_model_server --port=8500 --rest_api_port=8501 --model_name=${MODEL_NAME} --model_base_path=${MODEL_BASE_PATH}/${MODEL_NAME} "$@"_

### Version

colima version && limactl --version && qemu-img --version
colima version 0.6.8
git commit: 9b0809d0ed9ad3ff1e57c405f27324e6298ca04f
limactl version 0.20.1
qemu-img version 8.2.1
Copyright (c) 2003-2023 Fabrice Bellard and the QEMU Project developers

### Operating System

- [ ] macOS Intel <= 13 (Ventura)
- [ ] macOS Intel >= 14 (Sonoma)
- [ ] Apple Silicon <= 13 (Ventura)
- [X] Apple Silicon >= 14 (Sonoma)
- [ ] Linux

### Output of `colima status`

FATA[0000] colima is not running

### Reproduction Steps

1. brew install colima
2. colima start --profile rosetta --cpu 2 --memory 6 --arch aarch64 --vm-type=vz --vz-rosetta
3. docker context use colima-rosetta
4. docker pull --platform=linux/amd64 tensorflow/serving
5. git clone https://github.com/tensorflow/serving
6. TESTDATA="$(pwd)/serving/tensorflow_serving/servables/tensorflow/testdata"
7. docker run -t --rm -p 8501:8501 \
-v "$TESTDATA/saved_model_half_plus_two_cpu:/models/half_plus_two" \
-e MODEL_NAME=half_plus_two \
tensorflow/serving

### Expected behaviour

TensorFlow Serving container and open the REST API port

### Additional context

_No response_

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