[Bug]: ValueError: array is not C-contiguous When using feature_retrieval 使用特征检索时报错

### 系统平台版本号 Ubuntu ### GPU 型号 NVIDIA RTX A5000 ### Python版本 3.8.10 ### PyTorch版本 2.0.1 ### sovits分支 4.0(默认) ### 数据集来源（用于判断数据集质量） galgame解包语音 ### 出现问题的环节或执行的命令 推理 ### 情况描述 实际上是4.1-stable分支。推理时启用了特征检索，然后出现了ValueError: array is not C-contiguous报错。 我的numpy版本是1.24.4 ### 日志 ```python !python inference_main.py -n "test_input.wav" -m "/root/autodl-tmp/so-vits-svc/logs/44k/" -s "rena" -t "0" -cr "0.5" -c "logs/44k/config.json" -sd "-40" -wf "wav" --f0_predictor="crepe" --feature_retrieval /root/autodl-tmp/so-vits-svc /root/autodl-tmp/so-vits-svc load load model(s) from pretrain/checkpoint_best_legacy_500.pt | Load HifiGAN: pretrain/nsf_hifigan/model Removing weight norm... #=====segment start, 7.42s====== starting feature retrieval... Traceback (most recent call last): File "inference_main.py", line 155, in <module> main() File "inference_main.py", line 140, in main audio = svc_model.slice_inference(**kwarg) File "/root/autodl-tmp/so-vits-svc/inference/infer_tool.py", line 461, in slice_inference out_audio, out_sr, out_frame = self.infer(spk, tran, raw_path, File "/root/autodl-tmp/so-vits-svc/inference/infer_tool.py", line 279, in infer c, f0, uv = self.get_unit_f0(wav, tran, cluster_infer_ratio, speaker, f0_filter,f0_predictor,cr_threshold=cr_threshold) File "/root/autodl-tmp/so-vits-svc/inference/infer_tool.py", line 237, in get_unit_f0 score, ix = feature_index.search(feat_np, k=8) File "/root/miniconda3/lib/python3.8/site-packages/faiss/__init__.py", line 322, in replacement_search self.search_c(n, swig_ptr(x), k, swig_ptr(D), swig_ptr(I)) File "/root/miniconda3/lib/python3.8/site-packages/faiss/swigfaiss.py", line 10348, in swig_ptr return _swigfaiss.swig_ptr(a) ValueError: array is not C-contiguous ``` ### 补充说明 _No response_