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[metax] Waveglow pr #457

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Feb 28, 2024
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24 changes: 24 additions & 0 deletions training/metax/WaveGlow-pytorch/README.md
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### 数据集下载

[数据集下载](../../benchmarks/WaveGlow/README.md#数据集下载地址)

### Nvidia GPU配置与运行信息参考
#### 环境配置

- ##### 硬件环境
- 机器、加速卡型号: 曦云®C500 64G
- 多机网络类型、带宽: InfiniBand,2x200 Gb/s

- ##### 软件环境
- OS版本:Ubuntu 20.04.6
- OS kernel版本: 5.4.0-26-generic
- 加速卡驱动版本:2.2.0
- Docker 版本:24.0.7
- 训练框架版本:pytorch-2.0.0+mc2.18.0.8-cp38-cp38-linux_x86_64.whl
- 依赖软件版本:无


### 运行情况
| 训练资源 | 配置文件 | 运行时长(s) | 目标val_loss | 收敛val_loss | 性能(samples/s) |
| -------- | --------------- | ----------- | ------------ | ------------ | --------------- |
| 单机8卡 | config_C500x1x8 | | -5.72 | -5.7461 | |
3 changes: 3 additions & 0 deletions training/metax/WaveGlow-pytorch/config/config_C500x1x8.py
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vendor: str = "nvidia"
dist_backend = "nccl"
batch_size = 10
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