Currently, the Torch FX backend supports FX representation(torch.fx.GraphModule() object) extracted using capture_pre_autograd_graph() which has a slightly different representation and is a deprecated feature. This feature request is to compress weights in torch FX graphs extracted using torch.export.export() instead of capture_pre_autograd_graph()
Feature Use Case
The FX model returned from torch.export.export() can also be supported in weights compression along with capture_pre_autograd_graph() due to the latter being deprecated in the future.
@anzr299, let's migrate to torch.export.export(...).module() first. It returns GraphModule, is supported for the target model scope and improves metrics of the swin_v2_s model. #2990
🚀 Feature request
Currently, the Torch FX backend supports FX representation(
torch.fx.GraphModule()
object) extracted usingcapture_pre_autograd_graph()
which has a slightly different representation and is a deprecated feature. This feature request is to compress weights in torch FX graphs extracted usingtorch.export.export()
instead ofcapture_pre_autograd_graph()
Feature Use Case
The FX model returned from
torch.export.export()
can also be supported in weights compression along withcapture_pre_autograd_graph()
due to the latter being deprecated in the future.Are you going to submit a PR?