Fix activation checkpointing #57
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- Create new function `activation_checkpoint_wrapper` to convert module outputs to be compatible with fairscale activation checkpoint wrapper - Use `static_graph` (see https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html) in img_clf training to allow training with activation checkpointing which otherwise fails with an error
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activation_checkpoint_wrapperto convert module outputs to be compatible with fairscale activation checkpoint wrapperstatic_graph(see https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html) in img_clf training to allow training with activation checkpointing which otherwise fails with an error