migrate to tensorflow 2.10

[shabthi]

Mode : train

Preparing data in working_dir/
2020-03-11 21:17:23.309411: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2020-03-11 21:17:23.336349: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2599990000 Hz
2020-03-11 21:17:23.336705: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55debfb184a0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-03-11 21:17:23.336727: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-03-11 21:17:23.336994: I tensorflow/core/common_runtime/process_util.cc:147] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
Creating 3 layers of 256 units.
WARNING:tensorflow:From /home/shabthi/anaconda3/envs/ml/lib/python3.6/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1635: calling BaseResourceVariable.init (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
WARNING:tensorflow:From /home/shabthi/Desktop/ML/tensorflow_chatbot/seq2seq_model.py:106: GRUCell.init (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This class is equivalent as tf.keras.layers.GRUCell, and will be replaced by that in Tensorflow 2.0.
WARNING:tensorflow:From /home/shabthi/Desktop/ML/tensorflow_chatbot/seq2seq_model.py:111: MultiRNNCell.init (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.
WARNING:tensorflow:At least two cells provided to MultiRNNCell are the same object and will share weights.
Traceback (most recent call last):
File "execute.py", line 319, in
train()
File "execute.py", line 137, in train
model = create_model(sess, False)
File "execute.py", line 104, in create_model
model = seq2seq_model.Seq2SeqModel( gConfig['enc_vocab_size'], gConfig['dec_vocab_size'], _buckets, gConfig['layer_size'], gConfig['num_layers'], gConfig['max_gradient_norm'], gConfig['batch_size'], gConfig['learning_rate'], gConfig['learning_rate_decay_factor'], forward_only=forward_only)
File "/home/shabthi/Desktop/ML/tensorflow_chatbot/seq2seq_model.py", line 154, in init
self.outputs, self.losses = tf.contrib.legacy_seq2seq.model_with_buckets(
AttributeError: module 'tensorflow' has no attribute 'contrib'