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Bugfix:
- onnx export Documentation - notice for AMD user to use DirectML Version
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@ -92,6 +92,8 @@ Windows 版と Mac 版を提供しています。
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- RVC で使用する場合の GUI の各項目説明は[こちら](tutorials/tutorial_rvc_ja_latest.md)をご覧ください
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- RVC で使用する場合の GUI の各項目説明は[こちら](tutorials/tutorial_rvc_ja_latest.md)をご覧ください
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- AMDのGPUはDirectML版ONNXでのみ使用できる場合があります。(実験的実装です。)
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- ダウンロードはこちらから。
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- ダウンロードはこちらから。
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| Version | OS | フレームワーク | link | サポート VC | サイズ |
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| Version | OS | フレームワーク | link | サポート VC | サイズ |
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@ -87,6 +87,8 @@ We offer Windows and Mac versions.
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- Please refer to [here](tutorials/tutorial_rvc_en_latest.md) for the description of each item of GUI to be used in RVC.
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- Please refer to [here](tutorials/tutorial_rvc_en_latest.md) for the description of each item of GUI to be used in RVC.
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- AMD GPUs may only be used with DirectML-version ONNX in some cases (as it is an experimental implementation).
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- Download (When you cannot download from google drive, try [hugging_face](https://huggingface.co/wok000/vcclient000/tree/main))
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- Download (When you cannot download from google drive, try [hugging_face](https://huggingface.co/wok000/vcclient000/tree/main))
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| Version | OS | Framework | link | support VC | size |
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| Version | OS | Framework | link | support VC | size |
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@ -95,7 +95,7 @@ def subsequent_mask(length):
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# @torch.jit.script
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# @torch.jit.script
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@torch.jit._script_if_tracing
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# @torch.jit._script_if_tracing
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def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
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def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
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n_channels_int = n_channels[0]
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n_channels_int = n_channels[0]
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in_act = input_a + input_b
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in_act = input_a + input_b
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