Where is the weight of the discriminator, please?

[zwq11]

==== Train Config ====

dataset Hayao data_dir /content/dataset epochs 100 init_epochs 4 batch_size 6 checkpoint_dir {ckp_dir} save_image_dir {save_img_dir} gan_loss lsgan resume GD use_sn True save_interval 1 debug_samples 0 lr_g 2e-05 lr_d 4e-05 init_lr 0.0001 wadvg 10.0 wadvd 10.0 wcon 1.5 wgra 3.0 wcol 30.0 d_layers 3 d_noise False

Init models... Compute mean (R, G, B) from 1792 images 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1792/1792 [00:04<00:00, 373.49it/s] Mean(B, G, R) of Hayao are [-4.4346958 -8.66591597 13.10061177] Dataset: real 6656 style 1792, smooth 1792 G weight loaded Could not load checkpoint, train from scratch [Errno 2] No such file or directory: '{ckp_dir}/discriminator_Hayao.pth' Epoch 13/100 0%| | 0/1110 [00:06<?, ?it/s] Traceback (most recent call last): File "train.py", line 247, in main(args) File "train.py", line 191, in main fake_img = G(img).detach() File "/root/miniconda3/envs/AGAN/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/root/autodl-tmp/pytorch-animeGAN-master/modeling/anime_gan.py", line 55, in forward out = self.encode_blocks(x) File "/root/miniconda3/envs/AGAN/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/root/miniconda3/envs/AGAN/lib/python3.6/site-packages/torch/nn/modules/container.py", line 119, in forward input = module(input) File "/root/miniconda3/envs/AGAN/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/root/autodl-tmp/pytorch-animeGAN-master/modeling/conv_blocks.py", line 73, in forward out = self.ins_norm(out) File "/root/miniconda3/envs/AGAN/lib/python3.6/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/root/miniconda3/envs/AGAN/lib/python3.6/site-packages/torch/nn/modules/instancenorm.py", line 59, in forward self.training or not self.track_running_stats, self.momentum, self.eps) File "/root/miniconda3/envs/AGAN/lib/python3.6/site-packages/torch/nn/functional.py", line 2183, in instance_norm input, weight, bias, running_mean, running_var, use_input_stats, momentum, eps, torch.backends.cudnn.enabled RuntimeError: CUDA error: no kernel image is available for execution on the device

[ptran1203]

the error is not about discriminator weight, please check again your path, the actually error is

RuntimeError: CUDA error: no kernel image is available for execution on the device

[zwq11]

I understand, thank you very much!

[zwq11]

FileNotFoundError: Dataset not found /content/dataset/Kimetsu

Is there a problem with the file path in this case?