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Dellen avatar Dellen commented on June 30, 2024

What's strange is, isn't that that number should be the batch_size? I don't understand why the total number of training sample would show up.

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Dellen avatar Dellen commented on June 30, 2024

Found it. It was because in the init phase, it would run the whole dataset through sess.run(). But now I wonder why the code for AFM works fine, because it would do the same in the init phase.

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Dellen avatar Dellen commented on June 30, 2024

Now I understand. In AFM, it doesn't need to do the square calculation.
self.summed_features_emb = tf.reduce_sum(self.nonzero_embeddings, 1, keep_dims=True) # None * 1 * K

Now the problem is how can I run FM on my computer, 8GB GPU. What is the your environment setup for this?

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Dellen avatar Dellen commented on June 30, 2024

I solved this problem by changing the evaluate function into feeding the data in batches. Now it works fine.

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