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Commit 5da8f5a7 authored by yuguo960516yuguo's avatar yuguo960516yuguo
Browse files

1.1

parent cb3516f7
...@@ -40,7 +40,7 @@ Resnet50 网络中包含了 49 个卷积层、1个全连接层等。 ...@@ -40,7 +40,7 @@ Resnet50 网络中包含了 49 个卷积层、1个全连接层等。
| 1 | 128 | fp16 | 76.3/50 epoch | | 1 | 128 | fp16 | 76.3/50 epoch |
| 4 | 128 | fp32 | 76.5/50 epoch | | 4 | 128 | fp32 | 76.5/50 epoch |
| 4 | 128 | fp16 | 76.3/50 epoch | | 4 | 128 | fp16 | 76.3/50 epoch |
## 历史版本 ## 源码仓库及问题反馈
- https://developer.hpccube.com/codes/modelzoo/resnet50_oneflow - https://developer.hpccube.com/codes/modelzoo/resnet50_oneflow
......
...@@ -3,6 +3,5 @@ modelName=Resnet50_OneFlow ...@@ -3,6 +3,5 @@ modelName=Resnet50_OneFlow
# 模型描述 # 模型描述
modelDescription=基于Oneflow框架的resnet50 modelDescription=基于Oneflow框架的resnet50
# 应用场景(多个标签以英文逗号分割) # 应用场景(多个标签以英文逗号分割)
appScenario=OCR,cv,车牌识别,目标检测,训练,推理 appScenario=训练,推理,train,inference,OCR,cv,车牌识别,目标检测
# 框架类型(多个标签以英文逗号分割)
frameType=OneFlow frameType=OneFlow
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