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suvidh avatar suvidh commented on May 28, 2024

I get this indentation error:-
image

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sourcecode369 avatar sourcecode369 commented on May 28, 2024

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.

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vishal2612200 avatar vishal2612200 commented on May 28, 2024

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

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vishal2612200 avatar vishal2612200 commented on May 28, 2024

@lucko515 you can close this now. It has been solved now.

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