HRNPH / AIwaifu

Open-Waifu open-sourced finetunable customizable simpable AI waifu inspired by neuro-sama
GNU General Public License v2.0
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NumPy float deprecation #69

Open Viphase opened 1 week ago

Viphase commented 1 week ago

Initializing... Dependencies ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ C:\Users\User\Documents\My Own\ai\AIwaifu\main.py:18 in │ │ │ │ 15 talk = character_msg_constructor("Lilia", None) # initialize character_msg_constructor │ │ 16 │ │ 17 # ----------- Waifu Vocal Pipeline ----------------------- │ │ ❱ 18 from AIVoifu.client_pipeline import tts_pipeline │ │ 19 vocal_pipeline = tts_pipeline() │ │ 20 │ │ 21 # initialize Vstudio Waifu Controller │ │ │ │ C:\Users\User\Documents\My Own\ai\AIwaifu\AIVoifu\client_pipeline.py:3 in │ │ │ │ 1 # ----------- Waifu Vocal Pipeline ----------------------- │ │ 2 from AIVoifu.tts import tts │ │ ❱ 3 from AIVoifu.voice_conversion import vc_inference as vc │ │ 4 class tts_pipeline: │ │ 5 │ def init(self) -> None: │ │ 6 │ │ print('Loading Waifu Vocal Pipeline...') │ │ │ │ C:\Users\User\Documents\My Own\ai\AIwaifu\AIVoifu\voice_conversion\vc_inference.py:10 in │ │ │ │ │ │ 7 import torch │ │ 8 import torchaudio │ │ 9 from .RVC.inferpack.models import SynthesizerTrnMs256NSFsid, SynthesizerTrnMs256NSFsid │ │ ❱ 10 from .RVC.python_inference import load_hubert, create_vc_fn, VC │ │ 11 from .RVC.config import ( │ │ 12 │ is_half, │ │ 13 │ device │ │ │ │ C:\Users\User\Documents\My Own\ai\AIwaifu\AIVoifu\voice_conversion\RVC\python_inference.py:12 in │ │ │ │ │ │ 9 import torch │ │ 10 import asyncio │ │ 11 from datetime import datetime │ │ ❱ 12 from fairseq import checkpoint_utils │ │ 13 from .infer_pack.models import SynthesizerTrnMs256NSFsid, SynthesizerTrnMs256NSFsid_nono │ │ 14 from .vc_infer_pipeline import VC │ │ 15 from .config import ( │ │ │ │ C:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\fairseq__init.py:19 │ │ in │ │ │ │ 16 sys.modules["fairseq.metrics"] = metrics │ │ 17 sys.modules["fairseq.progress_bar"] = progress_bar │ │ 18 │ │ ❱ 19 import fairseq.criterions # noqa │ │ 20 import fairseq.models # noqa │ │ 21 import fairseq.modules # noqa │ │ 22 import fairseq.optim # noqa │ │ │ │ C:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\fairseq\criterions__ini │ │ t__.py:13 in │ │ │ │ 10 from typing import Union │ │ 11 │ │ 12 from fairseq import registry │ │ ❱ 13 from fairseq.criterions.fairseq_criterion import ( # noqa │ │ 14 │ FairseqCriterion, │ │ 15 │ LegacyFairseqCriterion, │ │ 16 ) │ │ │ │ C:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\fairseq\criterions\fairs │ │ eq_criterion.py:9 in │ │ │ │ 6 import inspect │ │ 7 from typing import Any, Dict, List │ │ 8 │ │ ❱ 9 from fairseq import metrics, utils │ │ 10 from fairseq.dataclass.utils import gen_parser_from_dataclass │ │ 11 from torch.nn.modules.loss import _Loss │ │ 12 │ │ │ │ C:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\fairseq\utils.py:20 in │ │ │ │ │ │ 17 │ │ 18 import torch │ │ 19 import torch.nn.functional as F │ │ ❱ 20 from fairseq.data import iterators │ │ 21 from fairseq.file_io import PathManager │ │ 22 from fairseq.logging.meters import safe_round │ │ 23 from fairseq.modules import gelu, gelu_accurate │ │ │ │ C:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\fairseq\data__init.py │ │ :23 in │ │ │ │ 20 from .concat_sentences_dataset import ConcatSentencesDataset │ │ 21 from .denoising_dataset import DenoisingDataset │ │ 22 from .id_dataset import IdDataset │ │ ❱ 23 from .indexed_dataset import ( │ │ 24 │ IndexedCachedDataset, │ │ 25 │ IndexedDataset, │ │ 26 │ IndexedRawTextDataset, │ │ │ │ C:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\fairseq\data\indexed_dat │ │ aset.py:101 in │ │ │ │ 98 │ 3: np.int16, │ │ 99 │ 4: np.int32, │ │ 100 │ 5: np.int64, │ │ ❱ 101 │ 6: np.float, │ │ 102 │ 7: np.double, │ │ 103 │ 8: np.uint16, │ │ 104 } │ │ │ │ C:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\numpy\init.py:305 in │ │ getattr │ │ │ │ 302 │ │ │ │ "corresponding NumPy scalar.", FutureWarning, stacklevel=2) │ │ 303 │ │ │ │ 304 │ │ if attr in former_attrs: │ │ ❱ 305 │ │ │ raise AttributeError(__former_attrs__[attr]) │ │ 306 │ │ │ │ 307 │ │ # Importing Tester requires importing all of UnitTest which is not a │ │ 308 │ │ # cheap import Since it is mainly used in test suits, we lazy import it │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ AttributeError: module 'numpy' has no attribute 'float'. np.float was a deprecated alias for the builtin float. To avoid this error in existing code, use float by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64 here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

HRNPH commented 1 week ago

can u try downgrading numpy temporary solving this?