sosixyz

It seems that `user_embedding = de.keras.layers.SquashedEmbedding( user_embedding_size, initializer=embedding_initializer, devices=self.devices, name='user_embedding')` has some bugs。The embedding could not cannot identify which port the variables are on. * If I change the embedding...

> @sosixyz Could you please provide a minimum reproducible code? Thank you for your reply！The reproducible code is copied from the link https://github.com/tensorflow/recommenders-addons/blob/master/demo/dynamic_embedding/movielens-1m-keras-ps/movielens-1m-keras-ps.py.

> > It seems that `user_embedding = de.keras.layers.SquashedEmbedding( user_embedding_size, initializer=embedding_initializer, devices=self.devices, name='user_embedding')` has some bugs。The embedding could not cannot identify which port the variables are on. > > > >...

@MoFHeka Hello, I try to use tf.keras.utils.experimental.DatasetCreator , but new bug arised. I just change data input function, I use keras.embeding that demo is running well. The demo is ```...

> try this: `option("codec","org.apache.hadoop.io.compress.GzipCodec")` I use this method, `data.repartition(50).write.mode("overwrite").format('tfrecords').option("codec", "org.apache.hadoop.io.compress.GzipCodec").save(path)`, but the file seems not to be small. the option did not take effect.

是的，没有加axis,这样算的是一个value