Added gradient checkpointing to hgnet

timm/models/hgnet.py

@@ -16,6 +16,7 @@ from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
 from timm.layers import SelectAdaptivePool2d, DropPath, create_conv2d
 from ._builder import build_model_with_cfg
 from ._registry import register_model, generate_default_cfgs
+from ._manipulate import checkpoint_seq
 
 __all__ = ['HighPerfGpuNet']
 
@@ -338,9 +339,13 @@ class HighPerfGpuStage(nn.Module):
                 )
             )
         self.blocks = nn.Sequential(*blocks_list)
+        self.grad_checkpointing= False
 
     def forward(self, x):
         x = self.downsample(x)
+        if self.grad_checkpointing and not torch.jit.is_scripting():
+            x = checkpoint_seq(self.blocks, x, flatten=False)
+        else:
             x = self.blocks(x)
         return x