google-deepmind / google-deepmind/graph_nets
Performance issue
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- Python
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Description
I am using the graph module to solve an ETA estimation problem. Could anybody tell me how to make the training faster by using all the available cores on my computer? I tried many things in TensorFlow 2.5, such as setting the number of thread by tf.config.threading.set_inter_op_parallelism_threads and tf.config.threading.set_intra_op_parallelism_threads, but nothing works. Training the MLP networks took a very long time.
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