Comments (1)
EasyRec本身是支持tf2.0的,就是运行的环境或者集群底层要跑在TF2.0上
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Related Issues (20)
- local安装报错 HOT 2
- 多目标模型有没有样本数据啊? HOT 3
- 版本兼容性 HOT 7
- AttributeError: module 'tensorflow._api.v1.data' has no attribute 'TableRecordDataset' HOT 3
- split DSSM model got error HOT 5
- [benchmark]如何在dataworks中读取到相关数据? HOT 2
- Failed to start server. Error: Unknown: 1 servable(s) did not become available HOT 1
- 在DeepRec上报错 HOT 1
- 有考虑将tf1.estimator迁移到tf2.keras吗
- the output of FM is always 0 HOT 1
- 使用ev_params报错: module 'tensorflow.python.ops.variables' has no attribute 'CounterFilterOptions' HOT 1
- 关于JRC LOSS中的loss为什么加上0.5 * uncertainty1的疑问 HOT 1
- 请问有没有适合多场景的模型 HOT 1
- Error when split the user and item model using split_model_pai.py HOT 2
- dnn使用序列特征怎么设置序列长度 HOT 1
- How to config share embedding in DSSM? HOT 1
- transformer实现 HOT 1
- Error scikit-learn need python 3.8 HOT 3
- Outputting Class Probabilities for Multiclass Models During Prediction in EasyRec HOT 1
- 模型太大如何用easyrec保存不带embedding并在serving的时候直接输入embedding的模型? HOT 1
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