I could not find documentation regarding the aggregation method in tensorflow optimizer
I have the following line of code
train_op = optimizer.minimize(loss, global_step=batch, aggregation_method = tf.AggregationMethod.EXPERIMENTAL_TREE)
However, this property can be changed to be
tf.AggregationMethod.EXPERIMENTAL_ACCUMULATE_N
Does anyone know what does it do? (I just know that when I used the default with an LSTM it did not have enough memory to run)