Ungraded lab week 1 - Kernel keeps dying in Jupyter lab

Wasawusu · March 7, 2022, 3:09am

That led me down another long dark and unsuccessful road:

github.com/tensorflow/tensorflow

TensorFlow binary crashes on Apple M1 in x86_64 Docker container

opened 11:01PM - 28 Oct 21 UTC

closed 09:16PM - 04 Dec 22 UTC

dwyatte

stat:awaiting response type:bug type:build/install subtype: ubuntu/linux 2.6.0

<em>Please make sure that this is a bug. As per our [GitHub Policy](https://git…hub.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:bug_template</em> **System information** - Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 18.04 - TensorFlow installed from (source or binary): Binary - TensorFlow version (use command below): TensorFlow 2.6.0, tf-nightly 2.8.0.dev20211028 - Python version: 3.6.9, 3.7.x, 3.8.x - CUDA/cuDNN version: N/A - GPU model and memory: N/A **Describe the current behavior** ``` dwyatte-macbookpro:~ dwyatte$ docker run tensorflow/tensorflow:latest python -c "import tensorflow as tf" WARNING: The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm64/v8) and no specific platform was requested 2021-10-28 22:50:41.481158: F tensorflow/core/lib/monitoring/sampler.cc:42] Check failed: bucket_limits_[i] > bucket_limits_[i - 1] (0 vs. 10) qemu: uncaught target signal 6 (Aborted) - core dumped ``` **Describe the expected behavior** Clean exit **Standalone code to reproduce the issue** Requires an Apple M1 (arm64) host OS: `docker run tensorflow/tensorflow:latest python -c "import tensorflow as tf"` This was previously mentioned in https://github.com/tensorflow/tensorflow/issues/42387 but unfortunately closed. When importing TensorFlow in an x86_64 docker container on an Apple M1, TensorFlow crashes. As far as I can tell, this should work as I can import and use other Python packages in the same container without problems (including things like `numpy`). It's unclear whether this is something that can be avoided at the TensorFlow level or an unavoidable bug in qemu ([[1]](https://github.com/docker/for-mac/issues/5342#issuecomment-779133157), [[2]](https://gitlab.com/qemu-project/qemu/-/issues/601)), but I wanted to reraise the issue.

Found a proposed solution in another thread, cross-linking here:

https://community.deeplearning.ai/t/kernel-crash-when-importing-tensorflow-or-cvlib-on-m1-macbook/78285

Wow, this is nasty. Mac M1 is shiny new tech but has its downsides.

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Ungraded lab week 1 - Kernel keeps dying in Jupyter lab

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