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Commit 8733b758 authored by yuguo's avatar yuguo
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perf

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README.md
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...@@ -30,16 +30,16 @@ Resnet50 网络中包含了 49 个卷积层、1个全连接层等。 ...@@ -30,16 +30,16 @@ Resnet50 网络中包含了 49 个卷积层、1个全连接层等。
执行推理命令： 执行推理命令：
bash examples/infer_graph.sh bash examples/infer_graph.sh
## 训练性能和准确率数据 ## 训练精度
测试数据：mini-imagenet，使用的加速卡：4张DCU-Z100-16G。 测试数据：mini-imagenet，使用的加速卡：4张DCU-Z100-16G。
根据模型情况填写表格： 根据模型情况填写表格：
| 卡数 | batch size | 类型 | 性能 | Accuracy(%) | | 卡数 | batch size | 类型 | Accuracy(%) |
| :------: | :------: | :------: |:------: | -------- | | :------: | :------: | :------: | -------- |
| 1 | 128 | fp32 | 284 samples/s | - | | 1 | 128 | fp32 | - |
| 1 | 128 | fp16 | 318 samples/s | - | | 1 | 128 | fp16 | - |
| 4 | 128 | fp32 | 266*4=1064 samples/s | 76.5/50 epoch | | 4 | 128 | fp32 | 76.5/50 epoch |
| 4 | 128 | fp16 | 286*4 = 1144 samples/s | 76.5/50 epoch | | 4 | 128 | fp16 | 76.5/50 epoch |
## 参考 ## 参考
* https://github.com/Oneflow-Inc/models/tree/main/Vision/classification/image/resnet50 * https://github.com/Oneflow-Inc/models/tree/main/Vision/classification/image/resnet50
* https://github.com/Oneflow-Inc/oneflow * https://github.com/Oneflow-Inc/oneflow
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