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[autoparallel] fix forward memory calculation (#2062)

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This commit is contained in:
Boyuan Yao
2022-12-04 15:00:16 +08:00
committed by GitHub
parent 44ea461890
commit 4b40fbd743
5 changed files with 29 additions and 24 deletions
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colossalai/auto_parallel/meta_profiler/meta_registry/norm.py
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@@ -76,7 +76,8 @@ def batchnormnd_meta_info(*args, **kwargs) -> Tuple[TrainCycleItem, TrainCycleIt
# calculate memory cost
# the fwd activation cost is output plus saved mean and saved inv std
fwd_memory_cost = MemoryCost(activation=activation_size([output_tensor, mean_tensor, var_tensor]),
# NOTE: currently in SPMD solver we always believe that there will be a new tensor created in forward
fwd_memory_cost = MemoryCost(activation=activation_size([input_tensor, output_tensor, mean_tensor, var_tensor]),
parameter=activation_size([weight_tensor, bias_tensor]),
temp=0,
buffer=activation_size([mean_tensor, var_tensor]))