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add cpu model for nvidia training case readme #199

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Aug 17, 2023
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add cpu model for nvidia training case readme #199

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3 changes: 2 additions & 1 deletion training/nvidia/README.md
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Expand Up @@ -9,8 +9,9 @@ NVIDIA 是人工智能计算领域的领导者。率先采用加速计算，以
# FlagPerf适配验证环境说明
## 环境配置参考
- 硬件
- 机器型号： NVIDIA A100
- 机器型号： NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号：AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，2x200 Gb/s
- 软件
- OS版本：Ubuntu 20.04
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4 changes: 3 additions & 1 deletion training/nvidia/WaveGlow-pytorch/README.md
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Expand Up @@ -6,7 +6,9 @@
#### 环境配置

- ##### 硬件环境
- 机器、加速卡型号: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s

- ##### 软件环境
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4 changes: 3 additions & 1 deletion training/nvidia/bert-paddle/README.md
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Expand Up @@ -60,7 +60,9 @@ python run_pretraining.py
### 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: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s
- ##### 软件环境
- OS版本：Ubuntu 20.04
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4 changes: 3 additions & 1 deletion training/nvidia/bert-pytorch/README.md
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### 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: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s
- ##### 软件环境
- OS版本：Ubuntu 20.04
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4 changes: 3 additions & 1 deletion training/nvidia/bigtransfer-pytorch/README.md
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Expand Up @@ -9,7 +9,9 @@
#### 环境配置

- ##### 硬件环境
- 机器、加速卡型号: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s

- ##### 软件环境
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4 changes: 3 additions & 1 deletion training/nvidia/cpm-pytorch/README.md
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Expand Up @@ -10,7 +10,9 @@
### 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: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s
- ##### 软件环境
- OS版本：Ubuntu 20.04
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4 changes: 3 additions & 1 deletion training/nvidia/efficientnet-pytorch/README.md
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Expand Up @@ -4,7 +4,9 @@
### 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: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s
- ##### 软件环境
- OS版本：Ubuntu 20.04
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4 changes: 3 additions & 1 deletion training/nvidia/faster_rcnn-pytorch/README.md
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Expand Up @@ -17,7 +17,9 @@ torchvision.models.resnet.__dict__['model_urls'][
#### 环境配置

- ##### 硬件环境
- 机器、加速卡型号: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s

- ##### 软件环境
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4 changes: 3 additions & 1 deletion training/nvidia/glm-pytorch/README.md
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Expand Up @@ -6,7 +6,9 @@
### 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: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s
- ##### 软件环境
- OS版本：Ubuntu 20.04
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4 changes: 3 additions & 1 deletion training/nvidia/mask_rcnn-pytorch/README.md
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Expand Up @@ -7,7 +7,9 @@
#### 环境配置

- ##### 硬件环境
- 机器、加速卡型号: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s

- ##### 软件环境
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4 changes: 3 additions & 1 deletion training/nvidia/mobilenetv2-pytorch/README.md
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Expand Up @@ -4,7 +4,9 @@
### 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: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s
- ##### 软件环境
- OS版本：Ubuntu 20.04
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4 changes: 3 additions & 1 deletion training/nvidia/resnet50-pytorch/README.md
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### 2. 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: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s
- ##### 软件环境
- OS版本：Ubuntu 20.04
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4 changes: 3 additions & 1 deletion training/nvidia/retinanet-pytorch/README.md
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Expand Up @@ -17,7 +17,9 @@ torchvision.models.resnet.__dict__['model_urls'][
#### 环境配置

- ##### 硬件环境
- 机器、加速卡型号: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s

- ##### 软件环境
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4 changes: 3 additions & 1 deletion training/nvidia/swin_transformer-pytorch/README.md
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Expand Up @@ -4,7 +4,9 @@
### 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: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s
- ##### 软件环境
- OS版本：Ubuntu 20.04
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4 changes: 3 additions & 1 deletion training/nvidia/tacotron2-pytorch/README.md
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#### 环境配置

- ##### 硬件环境
- 机器、加速卡型号: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s

- ##### 软件环境
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5 changes: 3 additions & 2 deletions training/nvidia/transformer-pytorch/README.md
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Expand Up @@ -7,8 +7,9 @@
#### 环境配置

- ##### 硬件环境

- 机器、加速卡型号: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s

- ##### 软件环境
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4 changes: 3 additions & 1 deletion training/nvidia/vit-pytorch/README.md
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### 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: NVIDIA_A100-SXM4-40GB
- 机器型号: NVIDIA DGX A100(40G)
- 加速卡型号: NVIDIA_A100-SXM4-40GB
- CPU型号: AMD EPYC7742-64core@1.5G
- 多机网络类型、带宽: InfiniBand，200Gb/s
- ##### 软件环境
- OS版本：Ubuntu 20.04
Expand Down