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This problem seems to be the problem of OOM. You can check the OOM through ’top’ command. Or you can change 'epoch = 1000000 // batch_size’ to 'epoch = 10000 // batch_size’ in script/batchrl_trainer.py.And would you like to make a copy of this question on GitHub issue? Thanks.
On 03/29/2022 ***@***.***> wrote： I reproduced run_batch_rl according to the guidelines but the errors are as follows.
WARNING:tensorflow:From /root/miniconda3/envs/rl4rs/lib/python3.6/site-packages/tensorflow_core/python/ops/rnn_cell_impl.py:575: calling Zeros.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor WARNING:tensorflow:From /root/miniconda3/envs/rl4rs/lib/python3.6/site-packages/deepctr/contrib/rnn.py:257: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/nets/dien.py:43: The name tf.keras.backend.get_session is deprecated. Please use tf.compat.v1.keras.backend.get_session instead. WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/nets/dien.py:43: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead. WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/env/base.py:124: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead. WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/env/base.py:125: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead. WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/env/base.py:129: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead. /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/env/slate.py:279: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray complete_states = np.array(samples.get_complete_states()) run_batch_rl.sh: line 82: 180 Killed python -u batchrl_train.py $algo 'dataset_generate' "{'env':'SlateRecEnv-v0','iteminfo_file':'${rl4rs_dataset_dir}/item_info.csv','sample_file':'${rl4rs_dataset_dir}/rl4rs_dataset_a_shuf.csv','model_file':'${rl4rs_output_dir}/simulator_a_dien/model','trial_name':'a_all'}"
First it seems to be some warnings with the TensorFlow version, my own version is 1.15.0, I checked the environment file that what it need is also 1.15.0. I tried other versions such as 1.14.0 and 2.0.0 but still failed. However actually they are just warnings but not errors, so I don't know if I do have to use another version. And another problem is that finally it reported killed and aborted.
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I reproduced run_batch_rl according to the guidelines but the errors are as follows.
`WARNING:tensorflow:From /root/miniconda3/envs/rl4rs/lib/python3.6/site-packages/tensorflow_core/python/ops/rnn_cell_impl.py:575: calling Zeros.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor WARNING:tensorflow:From /root/miniconda3/envs/rl4rs/lib/python3.6/site-packages/deepctr/contrib/rnn.py:257: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/nets/dien.py:43: The name tf.keras.backend.get_session is deprecated. Please use tf.compat.v1.keras.backend.get_session instead.
WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/nets/dien.py:43: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead.
WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/env/base.py:124: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/env/base.py:125: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
WARNING:tensorflow:From /mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/env/base.py:129: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.
/mnt/rl4rs_pro/RL4RS/RL4RS/script/rl4rs/env/slate.py:279: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray complete_states = np.array(samples.get_complete_states()) run_batch_rl.sh: line 82: 180 Killed python -u batchrl_train.py $algo 'dataset_generate' "{'env':'SlateRecEnv-v0','iteminfo_file':'${rl4rs_dataset_dir}/item_info.csv','sample_file':'${rl4rs_dataset_dir}/rl4rs_dataset_a_shuf.csv','model_file':'${rl4rs_output_dir}/simulator_a_dien/model','trial_name':'a_all'}"`
First it seems to be some warnings with the TensorFlow version, my own version is 1.15.0, I checked the environment file that what it need is also 1.15.0. I tried other versions such as 1.14.0 and 2.0.0 but still failed. However actually they are just warnings but not errors, so I don't know if I do have to use another version. And another problem is that finally it reported killed and aborted.