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nof0onnx not worked

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wataru 2023-06-04 17:56:12 +09:00
parent 3f4e68294a
commit f2e2e87f18
3 changed files with 11 additions and 3 deletions
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3
.gitignore vendored
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@ -50,6 +50,9 @@ server/samples.json
server/samples_0003_t.json server/samples_0003_t.json
server/samples_0003_o.json server/samples_0003_o.json
server/test_official_v1_v2.json
server/test_ddpn_v1_v2.json
start_trainer.sh start_trainer.sh
# venv # venv

1
server/voice_changer/RVC/inferencer/OnnxRVCInferencerNono.py
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@ -9,6 +9,7 @@ class OnnxRVCInferencerNono(OnnxRVCInferencer):
def loadModel(self, file: str, gpu: int): def loadModel(self, file: str, gpu: int):
super().loadModel(file, gpu) super().loadModel(file, gpu)
self.setProps(EnumInferenceTypes.onnxRVCNono, file, True, gpu) self.setProps(EnumInferenceTypes.onnxRVCNono, file, True, gpu)
return self
def infer( def infer(
self, self,

10
server/voice_changer/RVC/pipeline/Pipeline.py
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@ -42,6 +42,7 @@ class Pipeline(object):
self.embedder = embedder self.embedder = embedder
self.inferencer = inferencer self.inferencer = inferencer
self.pitchExtractor = pitchExtractor self.pitchExtractor = pitchExtractor
print("GENERATE INFERENCER:::", self.inferencer)
self.index = index self.index = index
self.big_npy = ( self.big_npy = (
@ -166,7 +167,9 @@ class Pipeline(object):
npy = np.sum(self.big_npy[ix] * np.expand_dims(weight, axis=2), axis=1) npy = np.sum(self.big_npy[ix] * np.expand_dims(weight, axis=2), axis=1)
# recover silient font # recover silient font
npy = np.concatenate([np.zeros([npyOffset, npy.shape[1]]).astype("float32"), npy]) npy = np.concatenate(
[np.zeros([npyOffset, npy.shape[1]]).astype("float32"), npy]
)
if self.isHalf is True: if self.isHalf is True:
npy = npy.astype("float16") npy = npy.astype("float16")
@ -204,8 +207,9 @@ class Pipeline(object):
npyOffset = math.floor(silence_front * 16000) // 360 npyOffset = math.floor(silence_front * 16000) // 360
feats = feats[:, npyOffset * 2 :, :] feats = feats[:, npyOffset * 2 :, :]
feats_len = feats.shape[1] feats_len = feats.shape[1]
pitch = pitch[:, -feats_len:] if pitch is not None and pitchf is not None:
pitchf = pitchf[:, -feats_len:] pitch = pitch[:, -feats_len:]
pitchf = pitchf[:, -feats_len:]
p_len = torch.tensor([feats_len], device=self.device).long() p_len = torch.tensor([feats_len], device=self.device).long()
# 推論実行 # 推論実行