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Hello, I'm trying out your code and I'm running the Test and Visualize attention results codes and I'm getting this the error below. Could it be that the sample model is already outdated? Thank you.
Log
2017-05-25 09:05:29,733 root INFO loading data
2017-05-25 09:05:29,738 root INFO phase: test
2017-05-25 09:05:29,738 root INFO model_dir: model
2017-05-25 09:05:29,738 root INFO load_model: True
2017-05-25 09:05:29,738 root INFO output_dir: results
2017-05-25 09:05:29,738 root INFO steps_per_checkpoint: 500
2017-05-25 09:05:29,738 root INFO batch_size: 1
2017-05-25 09:05:29,738 root INFO num_epoch: 1000
2017-05-25 09:05:29,739 root INFO learning_rate: 1
2017-05-25 09:05:29,739 root INFO reg_val: 0
2017-05-25 09:05:29,739 root INFO max_gradient_norm: 5.000000
2017-05-25 09:05:29,739 root INFO clip_gradients: True
2017-05-25 09:05:29,743 root INFO valid_target_length inf
2017-05-25 09:05:29,743 root INFO target_vocab_size: 39
2017-05-25 09:05:29,743 root INFO target_embedding_size: 10.000000
2017-05-25 09:05:29,743 root INFO attn_num_hidden: 128
2017-05-25 09:05:29,743 root INFO attn_num_layers: 2
2017-05-25 09:05:29,743 root INFO visualize: True
2017-05-25 09:05:29,743 root INFO buckets
2017-05-25 09:05:29,744 root INFO [(16, 32), (27, 32), (35, 32), (64, 32), (80, 32)]
input_tensor dim: (?, 1, 32, ?)
CNN outdim before squeeze: (?, 1, ?, 512)
CNN outdim: (?, ?, 512)
2017-05-25 09:07:04,718 root INFO Reading model parameters from model/translate.ckpt-47200
Traceback (most recent call last):
File "src/launcher.py", line 146, in <module>
main(sys.argv[1:], exp_config.ExpConfig)
File "src/launcher.py", line 142, in main
session = sess)
File "/home/lrs/Attention-OCR/src/model/model.py", line 204, in __init__
self.saver_all.restore(self.sess, ckpt.model_checkpoint_path)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1428, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 767, in run
run_metadata_ptr)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 965, in _run
feed_dict_string, options, run_metadata)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1015, in _do_run
target_list, options, run_metadata)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1035, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Tensor name "embedding_attention_decoder/attention_decoder/multi_rnn_cell/cell_1/basic_lstm_cell/biases" not found in checkpoint files model/translate.ckpt-47200
[[Node: save/RestoreV2_33 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_33/tensor_names, save/RestoreV2_33/shape_and_slices)]]
Caused by op u'save/RestoreV2_33', defined at:
File "src/launcher.py", line 146, in <module>
main(sys.argv[1:], exp_config.ExpConfig)
File "src/launcher.py", line 142, in main
session = sess)
File "/home/lrs/Attention-OCR/src/model/model.py", line 198, in __init__
self.saver_all = tf.train.Saver(tf.all_variables())
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1040, in __init__
self.build()
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1070, in build
restore_sequentially=self._restore_sequentially)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 675, in build
restore_sequentially, reshape)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 402, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 242, in restore_op
[spec.tensor.dtype])[0])
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_io_ops.py", line 668, in restore_v2
dtypes=dtypes, name=name)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
op_def=op_def)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2327, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/lrs/tf101/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1226, in __init__
self._traceback = _extract_stack()
NotFoundError (see above for traceback): Tensor name "embedding_attention_decoder/attention_decoder/multi_rnn_cell/cell_1/basic_lstm_cell/biases" not found in checkpoint files model/translate.ckpt-47200
[[Node: save/RestoreV2_33 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_33/tensor_names, save/RestoreV2_33/shape_and_slices)]]
The text was updated successfully, but these errors were encountered:
@BeSlower I was able to eventually run the code. The error is caused by the model being outdated with respect to the script. You'll have to train your own model.
Hello, I'm trying out your code and I'm running the Test and Visualize attention results codes and I'm getting this the error below. Could it be that the sample model is already outdated? Thank you.
Log
The text was updated successfully, but these errors were encountered: