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2 changes: 1 addition & 1 deletion microbenchmarks/benchmark_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -129,7 +129,7 @@ def run_bench(
fn: the function to be benchmarked.
*args: arguments to the function `fn`.
num_iter: number of times `fn` will be run.
warmup_iter: number of times `fn` will be run before the acutal timing
warmup_iter: number of times `fn` will be run before the actual timing
measurement.
log_dir: the directory to save the profiler trace to.
func_label: the trace name of `fn` in the profiler.
Expand Down
4 changes: 2 additions & 2 deletions training/v5p/Diffusion-2-MaxDiffusion/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ xpk workload create \

MFU Calculation.

Above only Unet is trainable modeule, from FLOPS count, Per Step FLOPS = 2.41G FLOPS @BS=1, we get the MFU
Above only Unet is trainable module, from FLOPS count, Per Step FLOPS = 2.41G FLOPS @BS=1, we get the MFU
```
MFU = Per Step FLOPS * BatchSize Per Device / Step Time / Per Device Peak FLOPS
```
```