47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
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import tensorflow as tf
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import numpy as np
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import time
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class Everything:
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def __init__(self):
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self.output_size = 1
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self.hidden_size = 40
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self.input_size = 30
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self.input = tf.placeholder('float', [1, self.input_size])
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xavier_init = tf.contrib.layers.xavier_initializer()
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W_1 = tf.get_variable("w_1", (self.input_size, self.hidden_size),
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initializer=xavier_init)
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W_2 = tf.get_variable("w_2", (self.hidden_size, self.output_size),
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initializer=xavier_init)
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b_1 = tf.get_variable("b_1", (self.hidden_size,),
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initializer=tf.zeros_initializer)
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b_2 = tf.get_variable("b_2", (self.output_size,),
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initializer=tf.zeros_initializer)
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value_after_input = tf.sigmoid(tf.matmul(self.input, W_1) + b_1, name='hidden_layer')
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self.value = tf.sigmoid(tf.matmul(value_after_input, W_2) + b_2, name='output_layer')
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def eval(self):
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input = np.array([0, 2, 0, 0, 0, 0, -5, 0, -3, 0, 0, 0, 5, -5, 0, 0, 0, 3, 0, 5, 0, 0, 0, 0, -2, 0, 0, 0, 1, 0])
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start = time.time()
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sess = tf.Session()
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sess.run(tf.global_variables_initializer())
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for i in range(8500):
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val = sess.run(self.value, feed_dict={self.input: input.reshape(1,-1)})
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print(time.time() - start)
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print(val)
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everything = Everything()
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everything.eval()
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