Comments (2)
It seems like student and gpu machines at the chair default to Python 3.6. At least they also have python3.8
available however it is not always intuitive to keep this in mind, i.e. when setting up a virtual environment.
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Min version will stay Python 3.8. But I will open up a new issue for tracking Python 3.10 support
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Related Issues (20)
- [UMA][TVM] Get TVMC-Patches merged into upstream TVM
- [ETISS] Set enabled plugins via user/feature provided config
- [SW] Allow custom (out-of-tree) target/toolchain definitions
- [ETISS] Only run get_metrics.py if tracing dynamic memory metrics.
- [Plugins] Provide Example on how to use plugin interface
- [SW] Eliminate all compiler warnings in MLIF
- Support New RVV Targets
- Support for multi-core / multi-hart / cluster targets
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- [Infrastructure] Refactor toolchain support
- Support custom (user/feature-defined) stages
- FreeRTOS support
- Add support for non-ML benchmarks HOT 1
- Allow using MLonMCU as MicroTVM backend target
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- [TVM][MicroTVM] support graph tuner
- Fix 3rd party platform (ESP-IDF and Zephyr)
- Postprocesses very slow due to Python’s GIL HOT 1
- Reduce RAM consumption during MLonMCU Flow
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