paddle-gan在windows运行StarGAN V2算法报错

(paddlegan) PS F:\PaddleGAN> python -u tools/main.py --config-file configs/starganv2_celeba_hq.yaml [11/21 11:29:27] ppgan INFO: Configs: dataset: test: batch_size: 16 dataroot: data/stargan-v2/celeba_hq/val/ is_train: false name: StarGANv2Dataset num_workers: 8 preprocess: - key: src name: LoadImageFromFile - key: ref name: LoadImageFromFile - input_keys: - src - ref name: Transforms pipeline: - interpolation: bicubic keys: - image - image name: Resize size: - 256 - 256 - keys: - image - image name: Transpose - keys: - image - image mean: - 127.5 - 127.5 - 127.5 name: Normalize std: - 127.5 - 127.5 - 127.5 test_count: 16 train: batch_size: 4 dataroot: data/stargan-v2/celeba_hq/train/ is_train: true name: StarGANv2Dataset num_workers: 8 preprocess: - key: src name: LoadImageFromFile - key: ref name: LoadImageFromFile - key: ref2 name: LoadImageFromFile - input_keys: - src - ref - ref2 name: Transforms pipeline: - interpolation: bilinear keys: - image - image - image name: RandomResizedCropProb prob: 0.9 ratio: - 0.9 - 1.1 scale: - 0.8 - 1.0 size: - 256 - 256 - interpolation: bilinear keys: - image - image - image name: Resize size: - 256 - 256 - keys: - image - image - image name: RandomHorizontalFlip prob: 0.5 - keys: - image - image - image name: Transpose - keys: - image - image - image mean: - 127.5 - 127.5 - 127.5 name: Normalize std: - 127.5 - 127.5 - 127.5 epochs: 200 is_train: true log_config: interval: 100 visiual_interval: 3000 lr_scheduler: decay_epochs: 100 iters_per_epoch: 365 learning_rate: 0.0001 name: LinearDecay start_epoch: 100 model: discriminator: img_size: 256 name: StarGANv2Discriminator num_domains: 2 fan: fname_pretrained: null name: FAN generator: img_size: 256 name: StarGANv2Generator style_dim: 64 w_hpf: 1 lambda_cyc: 1 lambda_ds: 1 lambda_sty: 1 latent_dim: 16 mapping: latent_dim: 16 name: StarGANv2Mapping num_domains: 2 style_dim: 64 name: StarGANv2Model style: img_size: 256 name: StarGANv2Style num_domains: 2 style_dim: 64 optimizer: discriminator: beta1: 0.0 beta2: 0.99 name: Adam net_names: - discriminator weight_decay: 0.0001 generator: beta1: 0.0 beta2: 0.99 name: Adam net_names: - generator weight_decay: 0.0001 mapping_network: beta1: 0.0 beta2: 0.99 name: Adam net_names: - mapping_network weight_decay: 0.0001 main(args, cfg) File "F:\PaddleGAN\tools\main.py", line 46, in main trainer.train() File "F:\PaddleGAN\ppgan\engine\trainer.py", line 234, in train self.model.train_iter(self.optimizers) # norm train File "F:\PaddleGAN\ppgan\models\starganv2_model.py", line 279, in train_iter d_loss, d_losses_latent = compute_d_loss(self.nets, File "F:\PaddleGAN\ppgan\models\starganv2_model.py", line 64, in compute_d_loss s_trg = nets['mapping_network'](z_trg, y_trg) File "D:\ProgramData\miniconda3\envs\paddlegan\lib\site-packages\paddle\nn\layer\layers.py", line 1426, in call return self.forward(*inputs, **kwargs) File "F:\PaddleGAN\ppgan\models\generators\generator_starganv2.py", line 245, in forward out[idx[i].numpy().astype(np.int_).tolist()[0], TypeError: 'int' object is not subscriptable 感觉是numpy的版本问题，请问应该选择什么版本