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I'm trying to use pre-embedded data as input. It means I don't want to use embedding layer of model. How should I do this? Need for help.
The text was updated successfully, but these errors were encountered:
Hi andy!
try adding this
`
embedding_variable = tf.Variable(tf.constant(0.0, shape = [self.encoder_vocab_size, embedding_size]),trainable = False, name = 'embedding') self.encoder_embedding_placeholder = tf.placeholder(tf.float32, shape=[self.encoder_vocab_size,embedding_size], name = 'embedding_placeholder' ) self.encoder_embeddings = embedding_variable.assign(self.encoder_embedding_placeholder) self.encoder_inputs_embedded=tf.nn.embedding_lookup(self.encoder_embeddings,self.encoder_inputs)`
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I'm trying to use pre-embedded data as input. It means I don't want to use embedding layer of model.
How should I do this? Need for help.
The text was updated successfully, but these errors were encountered: