notebook.community

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import tensorflow as tf



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tf.reset_default_graph()

with tf.Session() as sess:
    x = tf.placeholder(tf.float32, shape=(10), name="x")
    y = tf.argmax(x, 0)
    
    x_, y_ = sess.run([x, y], feed_dict={x:list(range(10))})
    
    print(x, y_)









    



Tensor("x:0", shape=(10,), dtype=float32) 9



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