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fix copy_state_dict imports #23

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fix copy_state_dict imports #23

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12 changes: 6 additions & 6 deletions stable_codec/model.py
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Original file line number Diff line number Diff line change
@@ -1,18 +1,18 @@
import json
from typing import List, Optional, Tuple, Union

import torch
import torch.nn as nn
import torchaudio

from typing import Optional, List, Tuple, Union
from einops import rearrange
from stable_audio_tools import get_pretrained_model
from stable_audio_tools.data.utils import VolumeNorm
from stable_audio_tools.models import create_model_from_config
from stable_audio_tools.models.fsq import DitheredFSQ
from stable_audio_tools.models.utils import load_ckpt_state_dict
from stable_audio_tools.training.utils import copy_state_dict
from stable_audio_tools.data.utils import VolumeNorm
from stable_audio_tools.models.utils import copy_state_dict, load_ckpt_state_dict

from .residual_fsq import ResidualFSQBottleneck
from stable_audio_tools import get_pretrained_model


class StableCodec(nn.Module):
def __init__(self,
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16 changes: 10 additions & 6 deletions train.py
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Original file line number Diff line number Diff line change
@@ -1,17 +1,21 @@
import copy
import json
import os
import pytorch_lightning as pl

from typing import Optional

import pytorch_lightning as pl
from prefigure.prefigure import get_all_args, push_wandb_config
from stable_audio_tools.models import create_model_from_config
from stable_audio_tools.models.utils import load_ckpt_state_dict, remove_weight_norm_from_model
from stable_audio_tools.training.utils import copy_state_dict
from stable_audio_tools.models.utils import (
copy_state_dict,
load_ckpt_state_dict,
remove_weight_norm_from_model,
)

from stable_codec.training_module import create_training_wrapper_from_config
from stable_codec.training_demo import create_demo_callback_from_config
from stable_codec.data.dataset import create_dataloader_from_config
from stable_codec.training_demo import create_demo_callback_from_config
from stable_codec.training_module import create_training_wrapper_from_config


class ExceptionCallback(pl.Callback):
def on_exception(self, trainer, module, err):
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