Comments (1)
You can try with distributed data parallel: https://pytorch.org/tutorials/intermediate/ddp_tutorial.html. However, since different nav rollouts have different length and PyTorch DDP uses synchronized update, the speed of each step would be equal the the slowest one.
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Related Issues (20)
- Retrained model does not get the same SPL on val unseen as reported in paper HOT 4
- Help, error about the code HOT 4
- Test Question HOT 2
- About the back-translation performance and trigger of pre-exploration HOT 3
- Can this repo reproduce the reported result ?
- One possiable bug in agent._teacher_action() HOT 3
- Question about the valid seen/unseen performance report on the paper HOT 2
- About make_action when feedback method is 'sample' or 'argmax' HOT 4
- Beam Search setting HOT 2
- Why the loc_elevation is not updated in the env? HOT 1
- How to run with multiple gpus? HOT 2
- Picking the best checkpoint in the pre-exploration setting. HOT 2
- Beam search validation HOT 4
- Vanilla Listener (Follower) Training without RL (Student Forcing + Teacher Forcing?) HOT 2
- Difference between aug_paths and Speaker-Follower (Literal) Paths? HOT 2
- environment set up problem HOT 1
- Missing files HOT 1
- Import MatterSim error HOT 3
- Request code to generate R2R_<partition>.json
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