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chiphuyen / stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
http://cs20.stanford.edu
MIT License
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Cannot run chatbot.py in python=3.5, tensorflow=1.2.1?? #46

Open akirannz opened 7 years ago

akirannz commented 7 years ago

I hv trouble in running the chatbot.py, is it because of the tensorflow version? how to fix it?

python chatbot.py --mode train Data ready! Bucketing conversation number 9999 Bucketing conversation number 19999 Bucketing conversation number 9999 Bucketing conversation number 19999 Bucketing conversation number 29999 Bucketing conversation number 39999 Bucketing conversation number 49999 Bucketing conversation number 59999 Bucketing conversation number 69999 Bucketing conversation number 79999 Bucketing conversation number 89999 Bucketing conversation number 99999 Bucketing conversation number 109999 Bucketing conversation number 119999 Bucketing conversation number 129999 Bucketing conversation number 139999 Bucketing conversation number 149999 Bucketing conversation number 159999 Bucketing conversation number 169999 Bucketing conversation number 179999 Bucketing conversation number 189999 Number of samples in each bucket: [103459] Bucket scale: [1.0] Initialize new model Create placeholders Create inference Creating loss... It might take a couple of minutes depending on how many buckets you have. Traceback (most recent call last): File "chatbot.py", line 262, in main() File "chatbot.py", line 257, in main train() File "chatbot.py", line 138, in train model.build_graph() File "C:\Users\Alan\Documents\Udacity Deep learning\chatbot\stanford-tensorflow-tutorials-master\stanford-tensorflow-tutorials-master\assignments\chatbot\model.py", line 132, in build_graph self._create_loss() File "C:\Users\Alan\Documents\Udacity Deep learning\chatbot\stanford-tensorflow-tutorials-master\stanford-tensorflow-tutorials-master\assignments\chatbot\model.py", line 100, in _create_loss softmax_loss_function=self.softmax_loss_function) File "C:\Program Files\Anaconda3\envs\rnn2\lib\site-packages\tensorflow\contrib\legacy_seq2seq\python\ops\seq2seq.py", line 1221, in model_with_buckets softmax_loss_function=softmax_loss_function)) File "C:\Program Files\Anaconda3\envs\rnn2\lib\site-packages\tensorflow\contrib\legacy_seq2seq\python\ops\seq2seq.py", line 1134, in sequence_loss softmax_loss_function=softmax_loss_function)) File "C:\Program Files\Anaconda3\envs\rnn2\lib\site-packages\tensorflow\contrib\legacy_seq2seq\python\ops\seq2seq.py", line 1089, in sequence_loss_by_example crossent = softmax_loss_function(labels=target, logits=logit) TypeError: sampled_loss() got an unexpected keyword argument 'logits'

samxzhang commented 7 years ago

cause tf1.2.1 has a different definition of tf.nn.sampled_softmax_loss

try the following code____

    def sampled_loss(labels, logits):
        labels = tf.reshape(labels, [-1, 1])
        return tf.nn.sampled_softmax_loss(tf.transpose(w), b, labels, logits, 
                                          config.NUM_SAMPLES, config.DEC_VOCAB)
JB-45 commented 6 years ago

Re solution #46 #56 . First well done... however, the solution is too cryptic for me! I have searched through the tensorflow files but cannot see where you suggest we change the code. Any chance of some elaboration? It would be appreciated.

MartinAbilev commented 6 years ago

model.py !!

be avare seq2seq in3.5 is moved to : tf.contrib.legacy_seq2seq.embedding_rnn_seq2seq

and loss to: tf.contrib.legacy_seq2seq.sequence_loss

ghost commented 6 years ago

@samxzhang The fix was helpful. But I'm getting a deep copy error.

File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\contrib\legacy_seq2seq\python\ops\seq2seq.py", line 851, in embedding_attention_seq2seq encoder_cell = copy.deepcopy(cell) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 166, in deepcopy y = copier(memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\layers\base.py", line 793, in deepcopy setattr(result, k, copy.deepcopy(v, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 218, in _deepcopy_list y.append(deepcopy(a, memo)) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 223, in _deepcopy_tuple y = [deepcopy(a, memo) for a in x] File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 223, in y = [deepcopy(a, memo) for a in x] File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 182, in deepcopy y = _reconstruct(x, rv, 1, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 297, in _reconstruct state = deepcopy(state, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 155, in deepcopy y = copier(x, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 243, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "C:\Users\Varsha\Anaconda3\envs\tensorflow\lib\copy.py", line 166, in deepcopy y = copier(memo) TypeError: cannot deepcopy this pattern object

Any help is highly appreciated.