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TobiasLee avatar TobiasLee commented on May 22, 2024

Hi, according to your description, I guess that you want to use pre-trained word embedding to initialize the embedding matrix. A common way is to assign the pre-trained word embedding to the embedding

# create embedding matrix
embeddings_var = tf.Variable(tf.constant(0.0, shape=[vocab_size_after_process, embedding_dim]), trainable=False)
# define a embedding placeholder to pass the pre-trained word embedding in
embedding_placeholder = tf.placeholder(tf.float32, [vocab_size_after_process, embedding_dim]) 
embedding_init = embeddings_var.assign(embedding_placeholder) # an assign operation 

Then you can run the embedding_init in your session like

with tf.Session() as sess:
  sess.run(embedding_init, feed_dict={embedding_placehoder:embedding})
  # ... other code

from text-classification.

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