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Hello,thanks to provide this project.Now,I have some question to ask.First,when I want to change the tensorflow.1x to tensorflow.2x,I find that the work in Initation_learning_network/Network/bn the tf.contrib.layers.batch_norm can not be used in tf2,and I want to use tf.compat.v1.layers.batch_normalization to change,but when the code run into imitation_learning.py/load_model, the error said Not found: Key batch_normalization/beta not found in checkpoint .So I want to ask that the model of /imitation/model/checkpoint is or not be used in the ddpg algorithm? The param Inference in ddpg_agent is False,why need code to run self.env.Image_agent.load_mode(),this model used where ?
The text was updated successfully, but these errors were encountered:
Hello,thanks to provide this project.Now,I have some question to ask.First,when I want to change the tensorflow.1x to tensorflow.2x,I find that the work in Initation_learning_network/Network/bn the tf.contrib.layers.batch_norm can not be used in tf2,and I want to use tf.compat.v1.layers.batch_normalization to change,but when the code run into imitation_learning.py/load_model, the error said Not found: Key batch_normalization/beta not found in checkpoint .So I want to ask that the model of /imitation/model/checkpoint is or not be used in the ddpg algorithm? The param Inference in ddpg_agent is False,why need code to run self.env.Image_agent.load_mode(),this model used where ?
The text was updated successfully, but these errors were encountered: