I'm trying to apply this awesome tool on BERT model. But it seems doesn's work with TF while loop. The model code is basically same as https://github.com/CLUEbenchmark/CLUENER2020/blob/master/tf_version/modeling.py, except that I add every sqrt(num_hidden_layers) hidden to collections by tf.add_to_collection('checkpoints', layer_output) . When run training, I got this error message: "ValueError: Cannot use 'loss/rnn/while/TensorArrayReadV3/Enter' as input to 'loss/rnn/while/TensorArrayReadV3_1' because 'loss/rnn/while/TensorArrayReadV3/Enter' is in a whileloop. See info log for more details." Would you please help me solve this problem?
I'm trying to apply this awesome tool on BERT model. But it seems doesn's work with TF while loop. The model code is basically same as https://github.com/CLUEbenchmark/CLUENER2020/blob/master/tf_version/modeling.py, except that I add every sqrt(num_hidden_layers) hidden to collections by tf.add_to_collection('checkpoints', layer_output) . When run training, I got this error message: "ValueError: Cannot use 'loss/rnn/while/TensorArrayReadV3/Enter' as input to 'loss/rnn/while/TensorArrayReadV3_1' because 'loss/rnn/while/TensorArrayReadV3/Enter' is in a whileloop. See info log for more details." Would you please help me solve this problem?