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suriyadeepan / practical_seq2seq

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
http://suriyadeepan.github.io/2016-12-31-practical-seq2seq/
GNU General Public License v3.0
570 stars 270 forks source link

sess.run() method issue #79

Open ghost opened 5 years ago

ghost commented 5 years ago

Python = 3.5 Tensorflow = 0.12.1 OS: - Windows

The dataset is changed for college enquiry chatbot.

Running 'the_best_chatbot.py' and then asking a question to the chatbot error occurs as shown below and the chatbot is unable to run:-

################Start Chatting Below########################

You: Does the college provide necessary information? Traceback (most recent call last):

File "", line 72, in answer = respond(question)

File "", line 65, in respond answer = model.predict(session, encoded_question)[0]

File "R:\Project - Chat Bot\The Best ChatBot - Copy\seq2seq_wrapper.py", line 179, in predict dec_op_v = sess.run(self.decode_outputs_test, feed_dict)

File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\client\session.py", line 766, in run run_metadata_ptr)

File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\client\session.py", line 964, in _run feed_dict_string, options, run_metadata)

File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\client\session.py", line 1014, in _do_run target_list, options, run_metadata)

File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\client\session.py", line 1034, in _do_call raise type(e)(node_def, op, message)

FailedPreconditionError: Attempting to use uninitialized value decoder/embedding_rnn_seq2seq/embedding_rnn_decoder/rnn_decoder/OutputProjectionWrapper/Linear/Bias [[Node: decoder/embedding_rnn_seq2seq/embedding_rnn_decoder/rnn_decoder/OutputProjectionWrapper/Linear/Bias/read = IdentityT=DT_FLOAT, _class=["loc:@decoder/embedding_rnn_seq2seq/embedding_rnn_decoder/rnn_decoder/OutputProjectionWrapper/Linear/Bias"], _device="/job:localhost/replica:0/task:0/cpu:0"]]

Caused by op 'decoder/embedding_rnn_seq2seq/embedding_rnn_decoder/rnn_decoder/OutputProjectionWrapper/Linear/Bias/read', defined at: File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 269, in main() File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 265, in main kernel.start() File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\ipykernel\kernelapp.py", line 486, in start self.io_loop.start() File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tornado\platform\asyncio.py", line 127, in start self.asyncio_loop.run_forever() File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\asyncio\base_events.py", line 421, in run_forever self._run_once() File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\asyncio\base_events.py", line 1425, in _run_once handle._run() File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\asyncio\events.py", line 127, in _run self._callback(self._args) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tornado\platform\asyncio.py", line 117, in _handle_events handler_func(fileobj, events) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper return fn(args, kwargs) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\zmq\eventloop\zmqstream.py", line 450, in _handle_events self._handle_recv() File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\zmq\eventloop\zmqstream.py", line 480, in _handle_recv self._run_callback(callback, msg) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\zmq\eventloop\zmqstream.py", line 432, in _run_callback callback(*args, *kwargs) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper return fn(args, kwargs) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher return self.dispatch_shell(stream, msg) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\ipykernel\kernelbase.py", line 233, in dispatch_shell handler(stream, idents, msg) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request user_expressions, allow_stdin) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\ipykernel\ipkernel.py", line 208, in do_execute res = shell.run_cell(code, store_history=store_history, silent=silent) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\ipykernel\zmqshell.py", line 537, in run_cell return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\IPython\core\interactiveshell.py", line 2662, in run_cell raw_cell, store_history, silent, shell_futures) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\IPython\core\interactiveshell.py", line 2785, in _run_cell interactivity=interactivity, compiler=compiler, result=result) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\IPython\core\interactiveshell.py", line 2903, in run_ast_nodes if self.run_code(code, result): File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\IPython\core\interactiveshell.py", line 2963, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 43, in num_layers = 3) File "R:\Project - Chat Bot\The Best ChatBot - Copy\seq2seq_wrapper.py", line 83, in init graph() File "R:\Project - Chat Bot\The Best ChatBot - Copy\seq2seq_wrapper.py", line 62, in graph xvocab_size, yvocab_size, emb_dim) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\seq2seq.py", line 357, in embedding_rnn_seq2seq feed_previous=feed_previous) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\seq2seq.py", line 280, in embedding_rnn_decoder loop_function=loop_function) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\seq2seq.py", line 146, in rnn_decoder output, state = cell(inp, state) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\rnn_cell.py", line 589, in call projected = _linear(output, self._output_size, True) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\rnn_cell.py", line 916, in _linear bias_start, dtype=dtype)) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 1024, in get_variable custom_getter=custom_getter) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 850, in get_variable custom_getter=custom_getter) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 346, in get_variable validate_shape=validate_shape) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 331, in _true_getter caching_device=caching_device, validate_shape=validate_shape) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 677, in _get_single_variable expected_shape=shape) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\variables.py", line 224, in init expected_shape=expected_shape) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\variables.py", line 370, in _init_from_args self._snapshot = array_ops.identity(self._variable, name="read") File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 1424, in identity result = _op_def_lib.apply_op("Identity", input=input, name=name) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 759, in apply_op op_def=op_def) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\framework\ops.py", line 2240, in create_op original_op=self._default_original_op, op_def=op_def) File "C:\Users\rahul\Anaconda3\envs\the_best_chatbot\lib\site-packages\tensorflow\python\framework\ops.py", line 1128, in init self._traceback = _extract_stack()

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value decoder/embedding_rnn_seq2seq/embedding_rnn_decoder/rnn_decoder/OutputProjectionWrapper/Linear/Bias [[Node: decoder/embedding_rnn_seq2seq/embedding_rnn_decoder/rnn_decoder/OutputProjectionWrapper/Linear/Bias/read = IdentityT=DT_FLOAT, _class=["loc:@decoder/embedding_rnn_seq2seq/embedding_rnn_decoder/rnn_decoder/OutputProjectionWrapper/Linear/Bias"], _device="/job:localhost/replica:0/task:0/cpu:0"]]

Please help. Thanking you in Advance.

saran-gangster commented 4 years ago

i hope retraining the model will help you and also use a new dataset