xsl
443cfa298f
包含： - hair_service_sd: 主服务（换发型/换发色/生发，端口8801） - photo_service: LoRA调度+训练（端口32678） - hair_grow_service: 调试测试页（端口8888，含4个测试页） - 批量训练脚本（batch_train_hairstyles.py） - 发际线mask自动识别（hairline_mask.py，4种方案） - 手绘mask换发型（hair_swap_manual.py） - 文档：README.md + LARGE_FILES.md + docs/ 大文件（模型权重200G、训练数据123G）已排除，见 LARGE_FILES.md OSS/COS密钥已脱敏为环境变量，原文件备份在本地
33 lines
974 B
Python
33 lines
974 B
Python
#!/usr/bin/env python3
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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
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import torch.nn as nn
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def c2_xavier_fill(module: nn.Module):
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"""
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Initialize `module.weight` using the "XavierFill" implemented in Caffe2.
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Also initializes `module.bias` to 0.
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Args:
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module (torch.nn.Module): module to initialize.
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"""
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# Caffe2 implementation of XavierFill in fact
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# corresponds to kaiming_uniform_ in PyTorch
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nn.init.kaiming_uniform_(module.weight, a=1)
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if module.bias is not None:
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nn.init.constant_(module.bias, 0)
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def c2_msra_fill(module: nn.Module):
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"""
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Initialize `module.weight` using the "MSRAFill" implemented in Caffe2.
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Also initializes `module.bias` to 0.
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Args:
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module (torch.nn.Module): module to initialize.
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"""
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nn.init.kaiming_normal_(module.weight, mode="fan_out", nonlinearity="relu")
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if module.bias is not None:
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nn.init.constant_(module.bias, 0)
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