ShF comments

Results 7 comments of

ShF

module 'tensorflow_core._api.v2.train' has no attribute 'Optimizer'

I fixed the issue in google colab by installing tensorflow 1.15 instead of 2. I get a warning only. `!pip install tensorflow-gpu==1.15.0`

tf.get_variable() error, variable does not exist or was not created

On tensorflow 1.12.0, I had the same problem and fixed it by adding the line: with tf.variable_scope(tf.get_variable_scope(), reuse=tf.AUTO_REUSE): before ema.apply

Variable model_1/loss/ExponentialMovingAverage/ does not exist

Hi @demiguo. On tensorflow 1.12.0, I had the same problem and fixed it by adding the line: with tf.variable_scope(tf.get_variable_scope(), reuse=tf.AUTO_REUSE): before ema.apply

Error when running this tensorflow-1.1.0 version

You can run this branch for the newer version of tensorflow (all errors have been fixed): https://github.com/Vimos/bi-att-flow/tree/tf1.8

cannot import name _linear in nn.py

You can run this branch for the newer version of tensorflow (all errors have been fixed): https://github.com/Vimos/bi-att-flow/tree/tf1.8

ImportError: cannot import name 'bidirectional_rnn'

You can run this branch for the newer version of tensorflow (all errors have been fixed): https://github.com/Vimos/bi-att-flow/tree/tf1.8

Data format for training the RNTN

the data format is in tree structure as (for sentiment analysis): (4 (2 (2 Dramas) (2 (2 like) (2 this))) (2 (3 (2 make) (2 (2 it) (2 human))) (2...