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 * . * . * . * . * Delete File in Runner * Add Sort * Delete More Files * Delete More * . * . * . * Add Pre-Commit Hook Update Docker * Add Code Spell Check * [pre-commit.ci] trigger * [pre-commit.ci] trigger * [pre-commit.ci] trigger * Fix Bugs * . * Disable Progress Bar and Logs while using GitHub Actions * . * . * Fix Bugs * update conda * fix bugs * Fix Bugs * fix bugs * . * . * Quiet Installation * fix bugs * . * fix bug * . * Fix pre-commit.ci and Docker * fix bugs * . * 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 * . * 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 * 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 * 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 --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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@@ -63,9 +63,7 @@ class Encoder(nn.Module):
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class Decoder(nn.Module):
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def __init__(
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self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.ReLU, dropout=False
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):
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def __init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.ReLU, dropout=False):
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super(Decoder, self).__init__()
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self.conv = Conv2DBNActiv(nin, nout, ksize, 1, pad, activ=activ)
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self.dropout = nn.Dropout2d(0.1) if dropout else None
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@@ -91,30 +89,16 @@ class ASPPModule(nn.Module):
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Conv2DBNActiv(nin, nin, 1, 1, 0, activ=activ),
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)
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self.conv2 = Conv2DBNActiv(nin, nin, 1, 1, 0, activ=activ)
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self.conv3 = SeperableConv2DBNActiv(
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nin, nin, 3, 1, dilations[0], dilations[0], activ=activ
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)
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self.conv4 = SeperableConv2DBNActiv(
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nin, nin, 3, 1, dilations[1], dilations[1], activ=activ
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)
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self.conv5 = SeperableConv2DBNActiv(
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nin, nin, 3, 1, dilations[2], dilations[2], activ=activ
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)
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self.conv6 = SeperableConv2DBNActiv(
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nin, nin, 3, 1, dilations[2], dilations[2], activ=activ
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)
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self.conv7 = SeperableConv2DBNActiv(
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nin, nin, 3, 1, dilations[2], dilations[2], activ=activ
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)
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self.bottleneck = nn.Sequential(
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Conv2DBNActiv(nin * 7, nout, 1, 1, 0, activ=activ), nn.Dropout2d(0.1)
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)
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self.conv3 = SeperableConv2DBNActiv(nin, nin, 3, 1, dilations[0], dilations[0], activ=activ)
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self.conv4 = SeperableConv2DBNActiv(nin, nin, 3, 1, dilations[1], dilations[1], activ=activ)
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self.conv5 = SeperableConv2DBNActiv(nin, nin, 3, 1, dilations[2], dilations[2], activ=activ)
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self.conv6 = SeperableConv2DBNActiv(nin, nin, 3, 1, dilations[2], dilations[2], activ=activ)
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self.conv7 = SeperableConv2DBNActiv(nin, nin, 3, 1, dilations[2], dilations[2], activ=activ)
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self.bottleneck = nn.Sequential(Conv2DBNActiv(nin * 7, nout, 1, 1, 0, activ=activ), nn.Dropout2d(0.1))
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def forward(self, x):
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_, _, h, w = x.size()
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feat1 = F.interpolate(
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self.conv1(x), size=(h, w), mode="bilinear", align_corners=True
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)
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feat1 = F.interpolate(self.conv1(x), size=(h, w), mode="bilinear", align_corners=True)
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feat2 = self.conv2(x)
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feat3 = self.conv3(x)
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feat4 = self.conv4(x)
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