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Commit 0e3da4db authored by qianyj's avatar qianyj
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update TF coda

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TensorFlow2x/Accuracy_Validation/ResNet50_Official/README.md
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# 介绍 # 介绍
该测试用例可用于ResNet50等网络在DTK平台的性能测试及精度验证。 该测试用例可用于ResNet50等网络的性能测试及精度验证。
# 单卡测试（单精度） # 单卡测试（单精度）
...@@ -24,7 +24,7 @@ ...@@ -24,7 +24,7 @@
export PYTHONPATH=/path/to/tensorflow/model:$PYTHONPATH export PYTHONPATH=/path/to/tensorflow/model:$PYTHONPATH
mpirun -np $np --hostfile hostfile --bind-to none scripts-run/single_process.sh mpirun -np $np --hostfile hostfile --bind-to none scripts-run/single_process.sh
多卡测试时需要修改部分代码，具体可参考[https://tensorflow.google.cn/guide/migrate/multi_worker_cpu_gpu_training?hl=en] 多卡测试时需要修改部分代码，具体可参考https://tensorflow.google.cn/guide/migrate/multi_worker_cpu_gpu_training?hl=en
# 参考 # 参考
[https://github.com/tensorflow/models/tree/v2.7.0](https://github.com/tensorflow/models/tree/v2.7.0/official/vision/image_classification/resnet) [https://github.com/tensorflow/models/tree/v2.7.0](https://github.com/tensorflow/models/tree/v2.7.0/official/vision/image_classification/resnet)
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