Introduce Docker and Windows CI Workflow, Pre-commit Formatting, and Language Resource Auto-Download (#2351)

* Docker Auto-Build Workflow

* Rename

* Update

* Fix Bugs

* Disable Progress Bar When workflows triggered

* Fix Wget

* Fix Bugs

* Fix Bugs

* Update Wget

* Update Workflows

* Accelerate Docker Image Building

* Fix Install.sh

* Add Skip-Check For Action Runner

* Fix Dockerfile

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* Delete File in Runner

* Add Sort

* Delete More Files

* Delete More

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* Add Pre-Commit Hook
Update Docker

* Add Code Spell Check

* [pre-commit.ci] trigger

* [pre-commit.ci] trigger

* [pre-commit.ci] trigger

* Fix Bugs

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* Disable Progress Bar and Logs while using GitHub Actions

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* Fix Bugs

* update conda

* fix bugs

* Fix Bugs

* fix bugs

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* Quiet Installation

* fix bugs

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* fix bug

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* Fix pre-commit.ci and Docker

* fix bugs

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* Update Docker & Pre-Commit

* fix  bugs

* Update Req

* Update Req

* Update OpenCC

* update precommit

* .

* Update .pre-commit-config.yaml

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update Docs and fix bugs

* Fix \

* Fix MacOS

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* test

* .

* Add Tag Alias

* .

* fix bugs

* fix bugs

* make image smaller

* update pre-commit config

* .

* .

* fix bugs

* use miniconda

* Fix Wrong Path

* .

* debug

* debug

* revert

* Fix Bugs

* Update Docs, Add Dict Auto Download in install.sh

* update docker_build

* Update Docs for Install.sh

* update docker docs about architecture

* Add Xcode-Commandline-Tool Installation

* Update Docs

1. Add Missing VC17
2. Modufied the Order of FFmpeg Installation and Requirements Installation
3. Remove Duplicate FFmpeg

* Fix Wrong Cuda Version

* Update TESTED ENV

* Add PYTHONNOUSERSITE(-s)

* Fix Wrapper

* Update install.sh For Robustness

* Ignore .git

* Preload CUDNN For Ctranslate2

* Remove Gradio Warnings

* Update Colab

* Fix OpenCC Problems

* Update Win DLL Strategy

* Fix Onnxruntime-gpu NVRTC Error

* Fix Path Problems

* Add Windows Packages Workflow

* WIP

* WIP

* WIP

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* WIP

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* WIP

* WIP

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* WIP

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* WIP

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* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP

* Fix Path

* Fix Path

* Enable Logging

* Set 7-Zip compression level to maximum (-mx=9)

* Use Multithread in ONNX Session

* Fix Tag Bugs

* Add Time

* Add Time

* Add Time

* Compress More

* Copy DLL to Solve VC Runtime DLL Missing Issues

* Expose FFmpeg Errors, Copy Only Part of Visual C++ Runtime

* Update build_windows_packages.ps1

* Update build_windows_packages.ps1

* Update build_windows_packages.ps1

* Update build_windows_packages.ps1

* WIP

* WIP

* WIP

* Update build_windows_packages.ps1

* Update install.sh

* Update build_windows_packages.ps1

* Update docker-publish.yaml

* Update install.sh

* Update Dockerfile

* Update docker_build.sh

* Update miniconda_install.sh

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update Colab-WebUI.ipynb

* Update Colab-Inference.ipynb

* Update docker-compose.yaml

* 更新 build_windows_packages.ps1

* Update install.sh

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

GPT_SoVITS/module/data_utils.py

@@ -470,6 +470,7 @@ class TextAudioSpeakerCollateV3:
         # return ssl_padded, spec_padded,mel_padded, ssl_lengths, spec_lengths, text_padded, text_lengths, wav_padded, wav_lengths,mel_lengths
         return ssl_padded, spec_padded, mel_padded, ssl_lengths, spec_lengths, text_padded, text_lengths, mel_lengths
 
+
 class TextAudioSpeakerLoaderV4(torch.utils.data.Dataset):
     """
     1) loads audio, speaker_id, text pairs
@@ -596,7 +597,7 @@ class TextAudioSpeakerLoaderV4(torch.utils.data.Dataset):
             audio_norm, self.filter_length, self.sampling_rate, self.hop_length, self.win_length, center=False
         )
         spec = torch.squeeze(spec, 0)
-        spec1 = spectrogram_torch(audio_norm, 1280,32000, 320, 1280,center=False)
+        spec1 = spectrogram_torch(audio_norm, 1280, 32000, 320, 1280, center=False)
         mel = spec_to_mel_torch(spec1, 1280, 100, 32000, 0, None)
         mel = self.norm_spec(torch.squeeze(mel, 0))
         return spec, mel
@@ -643,7 +644,7 @@ class TextAudioSpeakerCollateV4:
         mel_lengths = torch.LongTensor(len(batch))
 
         spec_padded = torch.FloatTensor(len(batch), batch[0][1].size(0), max_spec_len)
-        mel_padded = torch.FloatTensor(len(batch), batch[0][2].size(0), max_spec_len*2)
+        mel_padded = torch.FloatTensor(len(batch), batch[0][2].size(0), max_spec_len * 2)
         ssl_padded = torch.FloatTensor(len(batch), batch[0][0].size(1), max_ssl_len)
         text_padded = torch.LongTensor(len(batch), max_text_len)
         # wav_padded = torch.FloatTensor(len(batch), 1, max_wav_len)