33 lines
639 B
Python
33 lines
639 B
Python
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from network import Network
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import tensorflow as tf
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import random
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import numpy as np
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session = tf.Session()
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graph_lol = tf.Graph()
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network = Network(session)
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initial_state = np.array(( 0,
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2, 0, 0, 0, 0, -5,
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0, -3, 0, 0, 0, 5,
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-5, 0, 0, 0, 3, 0,
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5, 0, 0, 0, 0, -2,
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0 )).reshape((1,26))
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#print(x.shape)
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with graph_lol.as_default():
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session_2 = tf.Session(graph = graph_lol)
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network_2 = Network(session_2)
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network_2.restore_model()
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print(network_2.eval_state(initial_state))
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print(network.eval_state(initial_state))
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