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conv-bn folding should be used for CNN-based Vision Models when AMP is used with oneDNN Graph #2535

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Aug 25, 2023
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conv-bn folding should be used for CNN-based Vision Models when AMP is used with oneDNN Graph #2535

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81e18a5
Update tuning guide to reflect folding conv-bn when oneDNN Graph is u…
sanchitintel Aug 25, 2023
812b863
Fix spell-check
sanchitintel Aug 25, 2023
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4 changes: 4 additions & 0 deletions recipes_source/recipes/tuning_guide.py
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Expand Up @@ -295,6 +295,10 @@ def fused_gelu(x):
torch._C._jit_set_autocast_mode(False)

with torch.no_grad(), torch.cpu.amp.autocast(cache_enabled=False, dtype=torch.bfloat16):
# Conv-BatchNorm folding for CNN-based Vision Models should be done with ``torch.fx.experimental.optimization.fuse`` when AMP is used
import torch.fx.experimental.optimization as optimization
# Please note that optimization.fuse need not be called when AMP is not used
model = optimization.fuse(model)
model = torch.jit.trace(model, (example_input))
model = torch.jit.freeze(model)
# a couple of warm-up runs
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