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import tensorflow as tf
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node1 = tf.constant(3.0, tf.float32)
node2 = tf.constant(4.0)
print(node1,node2)
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sess = tf.Session()
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sess.list_devices()
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print(sess.run([node1,node2]))
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node3 = tf.add(node1,node2) # need to be exact same data type
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print("result : ",sess.run(node3))
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a = tf.placeholder(tf.float32)
b = tf.placeholder(tf.float32)
adder_node = a + b
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sess.run(adder_node,{a:3.0,b:4.5})
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sess.run(adder_node,{a:[3.0,1.0],b:[2,4.5]})
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add_and_triple = adder_node * 3
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sess.run(add_and_triple,{a:[3.0,1.0],b:[2,4.5]})
Out[23]:
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writer = tf.summary.FileWriter("./my_graph",sess.graph)
writer.close()
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sess.graph
sess.close()
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!tensorboard --logdir=./my_graph
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