good first issue
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The usual behavior for the "mean" operation in numerical frameworks is a reduction of a tensor to a single value. However, in GGML this operation instead calculates the mean per row. This is I think unexpected behavior and the naming is also inconsistent with GGML_SUM (per tensor) and GGML_SUM_ROWS (per row).