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Copy file name to clipboardExpand all lines: README.md
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@@ -3,7 +3,7 @@ While the TinyML benchmarks from [MLPerf](https://github.com/mlcommons/tiny) are
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Furthermore, these benchmarks are intended not only to give feedback on performance but also on functionality. Thus, they can be used to verify the correctness of the underlying kernel implementation.
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Currently, I have generated 25 samples for every model. However, I can generate upwards of 1000 samples using Python scripts.
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Currently, I have generated 25 samples for every model. However, I can generate upwards of 1000 samples using the provided Python scripts.
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**Disclaimer: These benchmarks are obviously of little use as they are! They are intended to be used as a baseline for integration into a larger project!**
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