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模型继承训练的代码是这样 `
warm_start_conf = tf.estimator.WarmStartSettings(ckpt_to_initialize_from=warm_up_model_dir) model = import_module(self.train_config['model']) classifier = tf.estimator.Estimator(model_fn=model.model_fn, params={ 'feature_columns': feature_columns, 'config': self.train_config, 'distribution': self.distribution, 'feature_columns_dict': feature_columns_dict }, warm_start_from=warm_start_conf, config=run_config)`
在继承训练,load模型文件文件ckpt的时候报错 模型文件里面没有也没有input_layer/1000_embedding/embedding_weights这个key,只有下面的 这个该如何解决?
The text was updated successfully, but these errors were encountered:
对于EV参数,init_from_checkpoint 接口目前支持 assignment_map 传入 scope,不支持传入EV name,用户如果使用Estimator 的warm_start_from 功能暂不支持,需要用户自己调用 init_from_checkpoint 保证EV正常恢复
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模型继承训练的代码是这样
`
模型配置文件
在继承训练,load模型文件文件ckpt的时候报错
模型文件里面没有也没有input_layer/1000_embedding/embedding_weights这个key,只有下面的
这个该如何解决?
The text was updated successfully, but these errors were encountered: