when I run this command, and change ' multi_branch: bool = False' to ' multi_branch: bool = True'.
It doesn't work, I wonder why.
Global seed set to 5318008
GPU available: True, used: True
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6,7]
| Name | Type | Params
-----------------------------------------------
0 | backbone | ResGCN | 350 K
1 | distance | LpDistance | 0
2 | train_loss | SupConLoss | 0
3 | val_loss | ContrastiveLoss | 0
-----------------------------------------------
350 K Trainable params
0 Non-trainable params
350 K Total params
1.403 Total estimated model params size (MB)
Global seed set to 5318008
Epoch 0: 0%| | 0/11 [00:00<00:00, 2770.35it/s]Traceback (most recent call last):
File "gaitgraph_casia_b.py", line 295, in <module>
cli_main()
File "gaitgraph_casia_b.py", line 289, in cli_main
save_config_overwrite=True
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/utilities/cli.py", line 289, in __init__
self.fit()
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/utilities/cli.py", line 432, in fit
self.trainer.fit(**self.fit_kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 552, in fit
self._run(model)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 922, in _run
self._dispatch()
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 990, in _dispatch
self.accelerator.start_training(self)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/accelerators/accelerator.py", line 92, in start_training
self.training_type_plugin.start_training(trainer)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 161, in start_training
self._results = trainer.run_stage()
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 1000, in run_stage
return self._run_train()
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 1049, in _run_train
self.fit_loop.run()
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/base.py", line 111, in run
self.advance(*args, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/fit_loop.py", line 200, in advance
epoch_output = self.epoch_loop.run(train_dataloader)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/base.py", line 111, in run
self.advance(*args, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/epoch/training_epoch_loop.py", line 130, in advance
batch_output = self.batch_loop.run(batch, self.iteration_count, self._dataloader_idx)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py", line 100, in run
super().run(batch, batch_idx, dataloader_idx)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/base.py", line 111, in run
self.advance(*args, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py", line 147, in advance
result = self._run_optimization(batch_idx, split_batch, opt_idx, optimizer)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py", line 201, in _run_optimization
self._optimizer_step(optimizer, opt_idx, batch_idx, closure)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py", line 403, in _optimizer_step
using_lbfgs=is_lbfgs,
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/core/lightning.py", line 1616, in optimizer_step
optimizer.step(closure=optimizer_closure)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/core/optimizer.py", line 206, in step
self.__optimizer_step(closure=closure, profiler_name=profiler_name, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/core/optimizer.py", line 128, in __optimizer_step
trainer.accelerator.optimizer_step(self._optimizer, self._optimizer_idx, lambda_closure=closure, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/accelerators/accelerator.py", line 296, in optimizer_step
self.run_optimizer_step(optimizer, opt_idx, lambda_closure, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/accelerators/accelerator.py", line 303, in run_optimizer_step
self.training_type_plugin.optimizer_step(optimizer, lambda_closure=lambda_closure, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 226, in optimizer_step
optimizer.step(closure=lambda_closure, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/torch/optim/lr_scheduler.py", line 65, in wrapper
return wrapped(*args, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/torch/optim/optimizer.py", line 88, in wrapper
return func(*args, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/torch/autograd/grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/torch/optim/adamw.py", line 65, in step
loss = closure()
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py", line 235, in _training_step_and_backward_closure
result = self.training_step_and_backward(split_batch, batch_idx, opt_idx, optimizer, hiddens)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py", line 536, in training_step_and_backward
result = self._training_step(split_batch, batch_idx, opt_idx, hiddens)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py", line 306, in _training_step
training_step_output = self.trainer.accelerator.training_step(step_kwargs)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/accelerators/accelerator.py", line 193, in training_step
return self.training_type_plugin.training_step(*step_kwargs.values())
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 172, in training_step
return self.model.training_step(*args, **kwargs)
File "gaitgraph_casia_b.py", line 75, in training_step
y_hat = self(x)
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "gaitgraph_casia_b.py", line 68, in forward
return self.backbone(x)[0]
File "/home/jdy/anaconda3/envs/gaitgraph2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "/home/jdy/GaitGraph2/GaitGraph/models/ResGCNv1/nets.py", line 61, in forward
x = x.permute(0, 3, 4, 1, 2)
RuntimeError: number of dims don't match in permute
when I run this command, and change ' multi_branch: bool = False' to ' multi_branch: bool = True'.
It doesn't work, I wonder why.