RuntimeError: shape '[-1, 128, 512]' is invalid for input of size 16384

[Sweetest316]

Hello, thanks for share !
I encountered an error while training:
Traceback (most recent call last):
File "/home/zhangjiabao/data/1/zhangjiabao/mesh/HTT/train.py", line 238, in
main(args)
File "/home/zhangjiabao/data/1/zhangjiabao/mesh/HTT/train.py", line 131, in main
epochpass.epoch_pass(
File "/home/zhangjiabao/data/1/zhangjiabao/mesh/HTT/netscripts/epochpass.py", line 50, in epoch_pass
loss, results, losses = model(batch)
File "/home/zhangjiabao/data/1/zhangjiabao/miniconda3/envs/handmesh/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/home/zhangjiabao/data/1/zhangjiabao/miniconda3/envs/handmesh/lib/python3.9/site-packages/torch/nn/parallel/data_parallel.py", line 168, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/home/zhangjiabao/data/1/zhangjiabao/miniconda3/envs/handmesh/lib/python3.9/site-packages/torch/nn/parallel/data_parallel.py", line 178, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/zhangjiabao/data/1/zhangjiabao/miniconda3/envs/handmesh/lib/python3.9/site-packages/torch/nn/parallel/parallel_apply.py", line 86, in parallel_apply
output.reraise()
File "/home/zhangjiabao/data/1/zhangjiabao/miniconda3/envs/handmesh/lib/python3.9/site-packages/torch/_utils.py", line 434, in reraise
raise exception
RuntimeError: Caught RuntimeError in replica 0 on device 0.
Original Traceback (most recent call last):
File "/home/zhangjiabao/data/1/zhangjiabao/miniconda3/envs/handmesh/lib/python3.9/site-packages/torch/nn/parallel/parallel_apply.py", line 61, in _worker
output = module(*input, **kwargs)
File "/home/zhangjiabao/data/1/zhangjiabao/miniconda3/envs/handmesh/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/home/zhangjiabao/data/1/zhangjiabao/mesh/HTT/models/htt.py", line 169, in forward
batch_seq_ain_feature=flatten_ain_feature.contiguous().view(-1,self.ntokens_action,flatten_ain_feature.shape[-1])
RuntimeError: shape '[-1, 128, 512]' is invalid for input of size 16384

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The shape doesn't match. I think one of the parameters is self.ntokens_action, do I think the initial settings for this parameter are customized?
May I know how to solve the problem of parameter matching.

[xiaoy-gitch]

Hello, may I ask if you have solved this problem? I also encountered a similar issue and I'm not sure if it's a problem with the dataset download.