I get the following error when i attempt to train the network. Any ideas? I'm pretty sure all the dependencies are properly installed since the setup bash script worked.
1482-sraval:tf_seq2seq_chatbot sraval$ python train.py
You are using the decoding_enhanced library!
Initializer Library -- Will add to this if necessary.
Unitary Linear has been imported
Preparing dialog data in /var/lib/tf_seq2seq_chatbot/data
I tensorflow/core/common_runtime/local_device.cc:40] Local device intra op parallelism threads: 4
I tensorflow/core/common_runtime/direct_session.cc:58] Direct session inter op parallelism threads: 4
Creating 4 layers of 2048 units.
use aggregation_method=2
/Library/Python/2.7/site-packages/tensorflow/python/ops/gradients.py:87: UserWarning: Converting sparse IndexedSlices to a dense Tensor with 163840000 elements. This may consume a large amount of memory.
"This may consume a large amount of memory." % num_elements)
Created model with fresh parameters.
Traceback (most recent call last):
File "train.py", line 15, in <module>
tf.app.run()
File "/Library/Python/2.7/site-packages/tensorflow/python/platform/default/_app.py", line 30, in run
sys.exit(main(sys.argv))
File "train.py", line 12, in main
train()
File "/Users/sraval/Desktop/yooo2/tf_seq2seq_chatbot/tf_seq2seq_chatbot/lib/train.py", line 28, in train
model = create_model(sess, forward_only=False)
File "/Users/sraval/Desktop/yooo2/tf_seq2seq_chatbot/tf_seq2seq_chatbot/lib/seq2seq_model_utils.py", line 35, in create_model
session.run(tf.initialize_all_variables())
File "/Library/Python/2.7/site-packages/tensorflow/python/client/session.py", line 368, in run
results = self._do_run(target_list, unique_fetch_targets, feed_dict_string)
File "/Library/Python/2.7/site-packages/tensorflow/python/client/session.py", line 444, in _do_run
e.code)
tensorflow.python.framework.errors.InvalidArgumentError: Cannot assign a device to node 'embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/MultiRNNCell/Cell3/GRUCell/Candidate/Linear/Bias': Could not satisfy explicit device specification '/gpu:3'
[[Node: embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/MultiRNNCell/Cell3/GRUCell/Candidate/Linear/Bias = Variable[container="", dtype=DT_FLOAT, shape=[2048], shared_name="", _device="/gpu:3"]()]]
Caused by op u'embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/MultiRNNCell/Cell3/GRUCell/Candidate/Linear/Bias', defined at:
File "train.py", line 15, in <module>
tf.app.run()
File "/Library/Python/2.7/site-packages/tensorflow/python/platform/default/_app.py", line 30, in run
sys.exit(main(sys.argv))
File "train.py", line 12, in main
train()
File "/Users/sraval/Desktop/yooo2/tf_seq2seq_chatbot/tf_seq2seq_chatbot/lib/train.py", line 28, in train
model = create_model(sess, forward_only=False)
File "/Users/sraval/Desktop/yooo2/tf_seq2seq_chatbot/tf_seq2seq_chatbot/lib/seq2seq_model_utils.py", line 27, in create_model
forward_only=forward_only)
File "/Users/sraval/Desktop/yooo2/tf_seq2seq_chatbot/tf_seq2seq_chatbot/lib/seq2seq_model.py", line 149, in __init__
softmax_loss_function=softmax_loss_function)
File "build/bdist.macosx-10.10-intel/egg/rnn_enhancement/seq2seq_enhanced.py", line 629, in model_with_buckets
bucket_decoder_inputs) #nick pay attention here -- you added bucket_states
File "/Users/sraval/Desktop/yooo2/tf_seq2seq_chatbot/tf_seq2seq_chatbot/lib/seq2seq_model.py", line 148, in <lambda>
lambda x, y: seq2seq_f(x, y, False),
File "/Users/sraval/Desktop/yooo2/tf_seq2seq_chatbot/tf_seq2seq_chatbot/lib/seq2seq_model.py", line 112, in seq2seq_f
feed_previous=do_decode)
File "build/bdist.macosx-10.10-intel/egg/rnn_enhancement/seq2seq_enhanced.py", line 341, in embedding_attention_seq2seq
temperature_decode = temperature_decode, temperature = temperature)
File "build/bdist.macosx-10.10-intel/egg/rnn_enhancement/seq2seq_enhanced.py", line 259, in embedding_attention_decoder
temperature = temperature)
File "build/bdist.macosx-10.10-intel/egg/rnn_enhancement/seq2seq_enhanced.py", line 159, in attention_decoder
cell_output, new_state = cell(x, hidden_state_input) #nick, changed this to your hidden state input
File "build/bdist.macosx-10.10-intel/egg/rnn_enhancement/rnn_cell_enhanced.py", line 1149, in __call__
cur_inp, new_state = cell(cur_inp, cur_state) #this replaces cur_inp to a differen input
File "build/bdist.macosx-10.10-intel/egg/rnn_enhancement/rnn_cell_enhanced.py", line 520, in __call__
c = tf.tanh(linear.linear([inputs, r * state], self._num_units, True))
File "build/bdist.macosx-10.10-intel/egg/rnn_enhancement/linear_enhanced.py", line 68, in linear
initializer=tf.constant_initializer(bias_start))
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 242, in get_variable
trainable, collections)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 175, in get_variable
self.reuse, trainable, collections)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 119, in get_variable
collections=collections)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/variables.py", line 210, in __init__
name=name)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/state_ops.py", line 116, in variable_op
container=container, shared_name=shared_name)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/gen_state_ops.py", line 334, in _variable
name=name)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/op_def_library.py", line 664, in apply_op
op_def=op_def)
File "/Library/Python/2.7/site-packages/tensorflow/python/framework/ops.py", line 1834, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/Library/Python/2.7/site-packages/tensorflow/python/framework/ops.py", line 1043, in __init__
self._traceback = _extract_stack()
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent