chatbot-startkit
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lucko515
Indentation Error
Yes Ive got the same error. I guess there is some problem with this implementation. So I had to reimplement it all on my own.
This error is generated due to unwanted starting space in some comments. Reduce the starting space of all comments to 4 spaces. Your problem will get solved. ` def encoder(inputs, rnn_size, number_of_layers, encoder_seq_len, keep_probs, encoder_embed_size, encoder_vocab_size):
'''
Used to define encoder of the seq2seq model (The encoder is made of simple dynamic RNN network).
Inputs:
inputs -
rnn_siz - number of units in the RNN layer
number_of_layer - number of RNN layers that the model uses
encoder_seq_len - vector of lengths (got from placeholder)
keep_probs - dropout rate
encoder_embed_size - size of embedding vector for encoder part
encoder_vocab_size - number of different words that the model uses in a vocabulary
Outputs:
encoder_outputs -
encoder_states - internal states from the RNN layer(s)
'''
def cell(units, rate):
layer = tf.contrib.rnn.BasicLSTMCell(units)
return tf.contrib.rnn.DropoutWrapper(layer,rate)
encoder_cell = tf.contrib.rnn.MultiRNNCell([cell(rnn_size, keep_probs) for _ in range(number_of_layers)])
encoder_embedings = tf.contrib.layers.embed_sequence(inputs, encoder_vocab_size, encoder_embed_size) #used to create embeding layer for the encoder
encoder_outputs, encoder_states = tf.nn.dynamic_rnn(encoder_cell,encoder_embedings, encoder_seq_len,dtype=tf.float32)
return encoder_outputs, encoder_states
` This function has 4 space in the starting of the comment. make other function comments also like this function
