调度器问题？

[masaisai111]

warnings.warn(f"log_with={log_with} was passed but no supported trackers are currently installed.") Before training: Unet First Layer lora up tensor([[0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.], ..., [0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.]]) Before training: Unet First Layer lora down tensor([[-0.2483, -0.2883, 0.0217, ..., 0.3330, 0.2490, 0.2651], [ 0.0295, -0.0237, -0.0601, ..., -0.1246, -0.1943, -0.1949], [ 0.1155, 0.4895, 0.1387, ..., 0.1215, -0.0998, 0.1251], [-0.1189, 0.0684, -0.0199, ..., 0.5316, -0.1501, -0.2685]]) Before training: text encoder First Layer lora up tensor([[0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.], ..., [0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.]]) Before training: text encoder First Layer lora down tensor([[ 0.2033, -0.0032, 0.1602, ..., 0.1470, -0.3368, 0.4285], [ 0.0142, -0.1524, 0.0096, ..., 0.2099, 0.5034, 0.1431], [-0.3158, -0.1338, 0.0779, ..., -0.1055, 0.4085, 0.1229], [-0.3604, 0.1553, -0.3339, ..., -0.3587, 0.6878, -0.1244]]) /home/masaisai/anaconda3/envs/masaisiaxuexilora/lib/python3.10/site-packages/diffusers/configuration_utils.py:244: FutureWarning: It is deprecated to pass a pretrained model name or path to from_config.If you were trying to load a scheduler, please use <class 'diffusers.schedulers.scheduling_ddpm.DDPMScheduler'>.from_pretrained(...) instead. Otherwise, please make sure to pass a configuration dictionary instead. This functionality will be removed in v1.0.0. deprecate("config-passed-as-path", "1.0.0", deprecation_message, standard_warn=False) Traceback (most recent call last): File "/home/masaisai/lora源码/lora/train_lora_w_ti.py", line 1209, in main(args) File "/home/masaisai/lora源码/lora/train_lora_w_ti.py", line 918, in main lr_scheduler = get_scheduler( File "/home/masaisai/anaconda3/envs/masaisiaxuexilora/lib/python3.10/site-packages/diffusers/optimization.py", line 325, in get_scheduler return schedule_func(optimizer, last_epoch=last_epoch) File "/home/masaisai/anaconda3/envs/masaisiaxuexilora/lib/python3.10/site-packages/diffusers/optimization.py", line 53, in get_constantschedule return LambdaLR(optimizer, lambda : 1, last_epoch=last_epoch) File "/home/masaisai/anaconda3/envs/masaisiaxuexilora/lib/python3.10/site-packages/torch/optim/lr_scheduler.py", line 221, in init super().init(optimizer, last_epoch, verbose) File "/home/masaisai/anaconda3/envs/masaisiaxuexilora/lib/python3.10/site-packages/torch/optim/lr_scheduler.py", line 79, in init self._initial_step() File "/home/masaisai/anaconda3/envs/masaisiaxuexilora/lib/python3.10/site-packages/torch/optim/lr_scheduler.py", line 85, in _initial_step self.step() File "/home/masaisai/anaconda3/envs/masaisiaxuexilora/lib/python3.10/site-packages/torch/optim/lr_scheduler.py", line 150, in step values = self.get_lr() File "/home/masaisai/anaconda3/envs/masaisiaxuexilora/lib/python3.10/site-packages/torch/optim/lr_scheduler.py", line 268, in get_lr return [base_lr lmbda(self.last_epoch) File "/home/masaisai/anaconda3/envs/masaisiaxuexilora/lib/python3.10/site-packages/torch/optim/lr_scheduler.py", line 268, in return [base_lr lmbda(self.last_epoch) TypeError: unsupported operand type(s) for *: 'NoneType' and 'int'

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