def build_model_graph(config, params, dataset):
        graph = tf.Graph()
        with graph.as_default():
            iterators = dataset.make_tf_iterators(params)
            model = BOWFlipper(config, params, dataset, iterators)

        return tf_utils.TFModel(graph=graph, model=model, iterator=iterators)
Exemple #2
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    def build_model_graph(config, params, dataset):
        graph = tf.Graph()
        with graph.as_default():
            iterators = dataset.make_tf_iterators(params['batch_size'])
            model = ABow(config, params, dataset, iterators)

        return tf_utils.TFModel(graph=graph, model=model, iterator=iterators)