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https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI.git
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@@ -13,7 +13,7 @@ cpu = torch.device("cpu")
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class ConvTDFNetTrim:
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def __init__(
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self, device, model_name, target_name, L, dim_f, dim_t, n_fft, hop=1024
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self, device, model_name, target_name, L, dim_f, dim_t, n_fft, hop=1024
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):
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super(ConvTDFNetTrim, self).__init__()
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@@ -83,7 +83,7 @@ def get_models(device, dim_f, dim_t, n_fft):
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dim_f=dim_f,
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dim_t=dim_t,
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n_fft=n_fft,
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)
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)
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class Predictor:
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@@ -95,7 +95,11 @@ class Predictor:
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)
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self.model = ort.InferenceSession(
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os.path.join(args.onnx, self.model_.target_name + ".onnx"),
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providers=["CUDAExecutionProvider", "DmlExecutionProvider", "CPUExecutionProvider"],
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providers=[
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"CUDAExecutionProvider",
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"DmlExecutionProvider",
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"CPUExecutionProvider",
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],
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)
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print("onnx load done")
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@@ -236,4 +240,4 @@ class MDXNetDereverb:
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self.device = device
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def path_audio(self, input, vocal_root, others_root, format):
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self.pred.prediction(input, vocal_root, others_root, format)
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self.pred.prediction(input, vocal_root, others_root, format)
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