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oswaldoludwig / Seq2seq-Chatbot-for-Keras

This repository contains a new generative model of chatbot based on seq2seq modeling.
Apache License 2.0
331 stars 98 forks source link

eroor while running conversation.py #24

Open sheenNapoleon opened 5 years ago

sheenNapoleon commented 5 years ago

Traceback (most recent call last): File "D:\Seq2seq-Chatbot-for-Keras-master\conversation.py", line 151, in out = Dense(dictionary_size/2, activation="relu", name='relu-activation')(merge_layer) File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\engine\base_layer.py", line 431, in call self.build(unpack_singleton(input_shapes)) File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\layers\core.py", line 866, in build constraint=self.kernel_constraint) File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\engine\base_layer.py", line 249, in add_weight weight = K.variable(initializer(shape), File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\initializers.py", line 218, in call dtype=dtype, seed=self.seed) File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\keras\backend\tensorflow_backend.py", line 4139, in random_uniform dtype=dtype, seed=seed) File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\random_ops.py", line 244, in random_uniform shape, dtype, seed=seed1, seed2=seed2) File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\gen_random_ops.py", line 473, in _random_uniform name=name) File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 609, in _apply_op_helper param_name=input_name) File "C:\Users\sheen\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 60, in _SatisfiesTypeConstraint ", ".join(dtypes.as_dtype(x).name for x in allowed_list))) TypeError: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64

TuanHAnhVN commented 5 years ago

I think you should change backend of keras to theano. by the following solution: import os os.environ['KERAS_BACKEND'] = 'theano'