Open mrshetab opened 10 months ago
I want to train vip on my own data, however, I get the segmentation fault error at this line of trainer.py: alles = model(b_im_r) The shape of b_im_r is torch.Size([128, 3, 224, 224]). here is my config file:
defaults:
save_snapshot: false load_snap: ""
num_workers: 10 batch_size: 32 train_steps: 10001 eval_freq: 1000
seed: 1 device: cuda
experiment: train_vip wandbuser: wandbproject:
dataset: dataset datapath: /home/reza/Lyon/Codes/action_recognition/vip/vip/dataset doaug: "none"
agent: target: vip.VIP device: ${device} lr: 1e-4 hidden_dim: 2 size: 34 l2weight: 0.001 l1weight: 0.001 num_negatives: 3
Any idea why this happens?
Problem solved, it was an issue of CUDA inconsistency. Thank you.
I want to train vip on my own data, however, I get the segmentation fault error at this line of trainer.py: alles = model(b_im_r) The shape of b_im_r is torch.Size([128, 3, 224, 224]). here is my config file:
defaults:
snapshot
save_snapshot: false load_snap: ""
replay buffer
num_workers: 10 batch_size: 32 train_steps: 10001 eval_freq: 1000
misc
seed: 1 device: cuda
experiment
experiment: train_vip wandbuser: wandbproject:
data
dataset: dataset datapath: /home/reza/Lyon/Codes/action_recognition/vip/vip/dataset doaug: "none"
agent: target: vip.VIP device: ${device} lr: 1e-4 hidden_dim: 2 size: 34 l2weight: 0.001 l1weight: 0.001 num_negatives: 3
Any idea why this happens?