AttributeError: 'Bunch' object has no attribute 'dag_hidden_dim'

[ysn7]

Number of allEdgelabels: 113 word vocab size 15736 Build DataStream ... Number of instances in trainDataStream: 5313 Number of instances in devDataStream: 200 Number of batches in trainDataStream: 665 Number of batches in devDataStream: 25 Traceback (most recent call last): File "G2S_trainer.py", line 308, in tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "G2S_trainer.py", line 187, in main char_vocab=char_vocab, options=FLAGS, mode='train') File "/home/yaoshengnan/nary-grn-master/bidir_dag_lstm/G2S_model_graph.py", line 55, in init is_training = is_training, options = options) File "/home/yaoshengnan/nary-grn-master/bidir_dag_lstm/dag_encoder_utils.py", line 160, in init w_trans = tf.get_variable("w_trans", [input_dim + edge_dim, options.dag_hidden_dim], dtype=tf.float32) AttributeError: 'Bunch' object has no attribute 'dag_hidden_dim'

Could you please help on this issue?

[freesunshine0316]

Hi, I updated this repository that introduced this error. I just fix this and you can check out the updates. Alternatively, you first define "dag_hidden_dim = options.neighbor_vector_dim" first, then change all "options.dag_hidden_dim" into "dag_hidden_dim".

[ysn7]

dag_hidden_dim

Thank you very much!

[ysn7]

Saving weights, ACCU 0.72 (prev_best) < 0.735 (cur) Duration 6.431 sec 4700 4800 4900 5000 5100 5200 5300 Step 5319: loss = 0.51 (481.905 sec) Validation Data Eval: Dev loss = 13.3517 Dev accu = 0.7300 146/200 Duration 5.849 sec 5400 5500 5600 5700 5800 5900 Step 5984: loss = 0.51 (481.534 sec) Validation Data Eval: Dev loss = 12.7348 Dev accu = 0.7650 153/200 Saving weights, ACCU 0.735 (prev_best) < 0.765 (cur) Duration 6.653 sec 6000 6100 6200 6300 6400 6500 6600 Step 6649: loss = 0.51 (474.455 sec) Validation Data Eval: Dev loss = 12.6276 Dev accu = 0.7600 152/200 Duration 5.454 sec 6700 6800 6900 7000 7100 7200 7300 2020-03-08 19:21:38.507817: E tensorflow/core/kernels/check_numerics_op.cc:185] abnormal_detected_host @0x7f2a14a12d00 = {1, 0} Found Inf or NaN global norm. Traceback (most recent call last): File "G2S_trainer.py", line 308, in tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "G2Strainer.py", line 233, in main , lossvalue, = train_graph.execute(sess, cur_batch, cur_batch_rev, FLAGS, is_train=True) File "/home/yaoshengnan/nary-grn-master/bidir_dag_lstm/G2S_model_graph.py", line 193, in execute return sess.run([self.accu, self.loss, self.train_op], feed_dict) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 929, in run run_metadata_ptr) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1152, in _run feed_dict_tensor, options, run_metadata) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run run_metadata) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: Found Inf or NaN global norm. : Tensor had NaN values [[node Train/Model/VerifyFinite/CheckNumerics (defined at /home/yaoshengnan/nary-grn-master/bidir_dag_lstm/G2S_model_graph.py:148) ]]

Caused by op u'Train/Model/VerifyFinite/CheckNumerics', defined at: File "G2S_trainer.py", line 308, in tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "G2S_trainer.py", line 187, in main char_vocab=char_vocab, options=FLAGS, mode='train') File "/home/yaoshengnan/nary-grn-master/bidir_dag_lstm/G2S_modelgraph.py", line 148, in init grads, = tf.clip_by_global_norm(tf.gradients(self.loss, tvars), clipper) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/ops/clip_ops.py", line 271, in clip_by_global_norm "Found Inf or NaN global norm.") File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/ops/numerics.py", line 44, in verify_tensor_all_finite return verify_tensor_all_finite_v2(t, msg, name) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/ops/numerics.py", line 62, in verify_tensor_all_finite_v2 verify_input = array_ops.check_numerics(x, message=message) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 919, in check_numerics "CheckNumerics", tensor=tensor, message=message, name=name) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op op_def=op_def) File "/root/anaconda3/envs/tf27/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1801, in init self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): Found Inf or NaN global norm. : Tensor had NaN values [[node Train/Model/VerifyFinite/CheckNumerics (defined at /home/yaoshengnan/nary-grn-master/bidir_dag_lstm/G2S_model_graph.py:148) ]]

Hi,it has some new problems.could you please help on this issue? thank you.

[freesunshine0316]

I also observed some errors when the model has reached a high accuracy, and I didn't pinpoint how this happened. It might be due to the "op.while" loop, as the GRN model never reported any errors.

[ysn7]

ok,thank you! and when i want to excute "sh decode.sh".it can't find this file.

Loading configurations from logs/G2S.cross_bin_0.config.json Traceback (most recent call last): File "G2S_evaluater.py", line 43, in FLAGS = namespace_utils.load_namespace(model_prefix + ".config.json") File "/home/yaoshengnan/new_gs/gs_lstm/namespace_utils.py", line 13, in load_namespace with open(in_path, 'r') as fp: IOError: [Errno 2] No such file or directory: 'logs/G2S.cross_bin_0.config.json' 1

[freesunshine0316]

You can check first which files are generated in the "logs" folder. This is under 5-fold cross validation setting, so 5 models have to be trained with different data portions.