학습코드 실행후 Error 발생합니다

[wownrns]

(diff-svc) C:\diff-svc-main\diff-svc-main>python run.py --config training/config_nsf.yaml --exp_name test --reset
| Hparams chains: ['training/config_nsf.yaml']
| Hparams:
K_step: 1000, accumulate_grad_batches: 1, audio_num_mel_bins: 128, audio_sample_rate: 44100, binarization_args: {'shuffle': False, 'with_align': True, 'with_f0': True, 'with_hubert': True, 'with_spk_embed': False, 'with_wav': False},
binarizer_cls: preprocessing.SVCpre.SVCBinarizer, binary_data_dir: data/binary/atri, check_val_every_n_epoch: 10, choose_test_manually: False, clip_grad_norm: 1,
config_path: training/config_nsf.yaml, content_cond_steps: [], cwt_add_f0_loss: False, cwt_hidden_size: 128, cwt_layers: 2,
cwt_loss: l1, cwt_std_scale: 0.8, datasets: ['opencpop'], debug: False, dec_ffn_kernel_size: 9,
dec_layers: 4, decay_steps: 40000, decoder_type: fft, dict_dir: , diff_decoder_type: wavenet,
diff_loss_type: l2, dilation_cycle_length: 4, dropout: 0.1, ds_workers: 4, dur_enc_hidden_stride_kernel: ['0,2,3', '0,2,3', '0,1,3'],
dur_loss: mse, dur_predictor_kernel: 3, dur_predictor_layers: 5, enc_ffn_kernel_size: 9, enc_layers: 4,
encoder_K: 8, encoder_type: fft, endless_ds: False, f0_bin: 256, f0_max: 1100.0,
f0_min: 40.0, ffn_act: gelu, ffn_padding: SAME, fft_size: 2048, fmax: 16000,
fmin: 40, fs2_ckpt: , gaussian_start: True, gen_dir_name: , gen_tgt_spk_id: -1,
hidden_size: 256, hop_size: 512, hubert_gpu: True, hubert_path: checkpoints/hubert/hubert_soft.pt, infer: False,
keep_bins: 128, lambda_commit: 0.25, lambda_energy: 0.0, lambda_f0: 1.0, lambda_ph_dur: 0.3,
lambda_sent_dur: 1.0, lambda_uv: 1.0, lambda_word_dur: 1.0, load_ckpt: , log_interval: 100,
loud_norm: False, lr: 0.0008, max_beta: 0.02, max_epochs: 3000, max_eval_sentences: 1,
max_eval_tokens: 60000, max_frames: 42000, max_input_tokens: 60000, max_sentences: 32, max_tokens: 128000,
max_updates: 1000000, mel_loss: ssim:0.5|l1:0.5, mel_vmax: 1.5, mel_vmin: -6.0, min_level_db: -120,
no_fs2: True, norm_type: gn, num_ckpt_keep: 10, num_heads: 2, num_sanity_val_steps: 1,
num_spk: 1, num_test_samples: 0, num_valid_plots: 10, optimizer_adam_beta1: 0.9, optimizer_adam_beta2: 0.98,
out_wav_norm: False, pe_ckpt: checkpoints/0102_xiaoma_pe/model_ckpt_steps_60000.ckpt, pe_enable: False, perform_enhance: True, pitch_ar: False,
pitch_enc_hidden_stride_kernel: ['0,2,5', '0,2,5', '0,2,5'], pitch_extractor: parselmouth, pitch_loss: l2, pitch_norm: log, pitch_type: frame,
pndm_speedup: 10, pre_align_args: {'allow_no_txt': False, 'denoise': False, 'forced_align': 'mfa', 'txt_processor': 'zh_g2pM', 'use_sox': True, 'use_tone': False}, pre_align_cls: data_gen.singing.pre_align.SingingPreAlign, predictor_dropout: 0.5, predictor_grad: 0.1,
predictor_hidden: -1, predictor_kernel: 5, predictor_layers: 5, prenet_dropout: 0.5, prenet_hidden_size: 256,
pretrain_fs_ckpt: , processed_data_dir: xxx, profile_infer: False, raw_data_dir: data/test, ref_norm_layer: bn,
rel_pos: True, reset_phone_dict: True, residual_channels: 384, residual_layers: 20, save_best: False,
save_ckpt: True, save_codes: ['configs', 'modules', 'src', 'utils'], save_f0: True, save_gt: False, schedule_type: linear,
seed: 1234, sort_by_len: True, speaker_id: test, spec_max: [0.29894399642944336, 0.009016108699142933, -0.09283751994371414, 0.18668203055858612, 0.3821677267551422, 0.6378556489944458, 0.9323092103004456, 0.9430548548698425, 0.8731685280799866, 0.8604497909545898, 0.9244481921195984, 0.754655659198761, 0.90962815284729, 0.8096907138824463, 0.7326040267944336, 0.9681972861289978, 1.1001042127609253, 1.0115244388580322, 0.9521523118019104, 1.0759587287902832, 1.0344291925430298, 0.924071192741394, 1.1161046028137207, 0.9410622715950012, 0.8933808207511902, 1.0794308185577393, 1.0275195837020874, 0.8603822588920593, 1.087681770324707, 0.9405238628387451, 1.0123140811920166, 1.0991350412368774, 1.0025107860565186, 0.9227388501167297, 1.0448148250579834, 1.0738403797149658, 0.9112507104873657, 0.7928240895271301, 0.8650215864181519, 0.9054545164108276, 0.9477485418319702, 0.8715988993644714, 0.8439128994941711, 0.8672019243240356, 0.943199634552002, 0.9969291090965271, 1.018958568572998, 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-0.09430843591690063, -0.061663251370191574, -0.20216906070709229, -0.1817052960395813, -0.12838633358478546, -0.2429756224155426, -0.30017372965812683, -0.30349302291870117, -0.2779577672481537, -0.3013155162334442, -0.27614471316337585, -0.3125353455543518, -0.2821618318557739, -0.4400882422924042, -0.19444836676120758, -0.15245670080184937, -0.05549808591604233, -0.25638583302497864, -0.27548524737358093, -0.3761153519153595, -0.41992488503456116, -0.45843884348869324, -0.5251815319061279, -0.49916592240333557, -0.4737579822540283, -0.44021207094192505, -0.4433860182762146, -0.4223054349422455, -0.43037497997283936, -0.4300977289676666, -0.5727364420890808, -0.684354305267334], spec_min: [-4.133910655975342, -4.355753421783447, -4.049771785736084, -3.9115467071533203, -4.379791259765625, -4.146684169769287, -3.918229103088379, -4.094448566436768, -4.103419303894043, -3.9473819732666016, -4.422009468078613, -4.31467342376709, -4.269201755523682, -4.0959601402282715, 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spk_cond_steps: [], stop_token_weight: 5.0, task_cls: training.task.SVC_task.SVCTask, test_ids: [], test_input_dir: ,
test_num: 0, test_prefixes: ['test'], test_set_name: test, timesteps: 1000, train_set_name: train,
use_amp: True, use_crepe: True, use_denoise: False, use_energy_embed: False, use_gt_dur: False,
use_gt_f0: False, use_midi: False, use_nsf: True, use_pitch_embed: True, use_pos_embed: True,
use_spk_embed: False, use_spk_id: False, use_split_spk_id: False, use_uv: False, use_var_enc: False,
use_vec: False, val_check_interval: 2000, valid_num: 0, valid_set_name: valid, validate: False,
vocoder: network.vocoders.nsf_hifigan.NsfHifiGAN, vocoder_ckpt: checkpoints/nsf_hifigan/model, warmup_updates: 2000, wav2spec_eps: 1e-6, weight_decay: 0,
win_size: 2048, work_dir: checkpoints/test,
| Mel losses: {'ssim': 0.5, 'l1': 0.5}
| Load HifiGAN: checkpoints/nsf_hifigan/model
Traceback (most recent call last):
File "C:\diff-svc-main\diff-svc-main\run.py", line 15, in
run_task()
File "C:\diff-svc-main\diff-svc-main\run.py", line 11, in run_task
task_cls.start()
File "C:\diff-svc-main\diff-svc-main\training\task\base_task.py", line 197, in start
task = cls()
File "C:\diff-svc-main\diff-svc-main\training\task\SVC_task.py", line 36, in init
self.vocoder: BaseVocoder = get_vocoder_cls(hparams)()
File "C:\diff-svc-main\diff-svc-main\network\vocoders\nsf_hifigan.py", line 17, in init
self.model, self.h = load_model(model_path, device=self.device)
File "C:\diff-svc-main\diff-svc-main\modules\nsf_hifigan\models.py", line 25, in load_model
cp_dict = torch.load(model_path)
File "C:\Users\ksjs7\anaconda3\envs\diff-svc\lib\site-packages\torch\serialization.py", line 771, in load
with _open_file_like(f, 'rb') as opened_file:
File "C:\Users\ksjs7\anaconda3\envs\diff-svc\lib\site-packages\torch\serialization.py", line 270, in _open_file_like
return _open_file(name_or_buffer, mode)
File "C:\Users\ksjs7\anaconda3\envs\diff-svc\lib\site-packages\torch\serialization.py", line 251, in init
super(_open_file, self).init(open(name, mode))
PermissionError: [Errno 13] Permission denied: 'checkpoints/nsf_hifigan/model'

**위 내용은 GPU메모리가 6GB이상인 경우에 적혀있는 명령어를 작성했을때 발생하였습니다.
C:\diff-svc-main\diff-svc-main\checkpoints 경로 안에 hubert,nsf_hifigan 폴더 설치는 완료했습니다.

위 에러 내용인 PermissionError: [Errno 13] Permission denied: 'checkpoints/nsf_hifigan/model' 이 부분에서 checkpoints/nsf_hifigan/model 경로 안에 nsf_hifigan 압축 파일 안에있는 model 파일을 삽입했습니다.

문제점과 해결방법을 도저히 모르겠어서 글을 게시해봅니다 ㅠㅠ...**

[wownrns]

cmd 관리자 권한으로 실행후

1번째 시도 (오류 발생)
cd C:\diff-svc-main\diff-svc-main > python run.py --config training/config_nsf.yaml --exp_name test --reset > SystemError: initialization of _internal failed without raising an exception

위 내용을 진행하기전 ModuleNotFoundError 발생했었습니다.
ModuleNotFoundError: No module named 'librosa'
ModuleNotFoundError: No module named 'pycwt'
2개의 Module 설치 진행후 SystemError: initialization of _internal failed without raising an exception가 발생했습니다.

2번쨰 시도 (전과 동일 에러 발생)
cd C:\diff-svc-main\diff-svc-main > conda activate diff-svc > python run.py --config training/config_nsf.yaml --exp_name test --reset >PermissionError: [Errno 13] Permission denied: 'checkpoints/nsf_hifigan/model'

또 다른 방법이 있을까요? ㅠㅠ

[ParkGiBum]

https://answers.microsoft.com/ko-kr/windows/forum/all/%ED%8F%B4%EB%8D%94-%EB%B0%8F-%ED%8C%8C%EC%9D%BC/4baabedd-0b29-48e1-84c7-02ff8906efd3

혹시 해당 방법으로 파일의 권한을 바꿔보실수있을까요?