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Merge pull request #2253 from brendanartley/hgnet-grad-checkpointing
Add gradient checkpointing to hgnets
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2d5c9bf60d
@ -16,6 +16,7 @@ from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
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from timm.layers import SelectAdaptivePool2d, DropPath, create_conv2d
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from ._builder import build_model_with_cfg
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from ._registry import register_model, generate_default_cfgs
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from ._manipulate import checkpoint_seq
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__all__ = ['HighPerfGpuNet']
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@ -338,9 +339,13 @@ class HighPerfGpuStage(nn.Module):
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)
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)
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self.blocks = nn.Sequential(*blocks_list)
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self.grad_checkpointing= False
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def forward(self, x):
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x = self.downsample(x)
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if self.grad_checkpointing and not torch.jit.is_scripting():
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x = checkpoint_seq(self.blocks, x, flatten=False)
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else:
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x = self.blocks(x)
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return x
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