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https://github.com/pjreddie/darknet.git
synced 2023-08-10 21:13:14 +03:00
38 lines
900 B
Python
38 lines
900 B
Python
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from darknet import *
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def predict_tactic(net, s):
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prob = 0
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d = c_array(c_float, [0.0]*256)
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tac = ''
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if not len(s):
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s = '\n'
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for c in s[:-1]:
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d[ord(c)] = 1
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pred = predict(net, d)
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d[ord(c)] = 0
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c = s[-1]
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while 1:
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d[ord(c)] = 1
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pred = predict(net, d)
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d[ord(c)] = 0
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pred = [pred[i] for i in range(256)]
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ind = sample(pred)
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c = chr(ind)
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prob += math.log(pred[ind])
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if len(tac) and tac[-1] == '.':
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break
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tac = tac + c
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return (tac, prob)
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def predict_tactics(net, s, n):
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tacs = []
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for i in range(n):
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reset_rnn(net)
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tacs.append(predict_tactic(net, s))
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tacs = sorted(tacs, key=lambda x: -x[1])
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return tacs
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net = load_net("cfg/coq.test.cfg", "/home/pjreddie/backup/coq.backup", 0)
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t = predict_tactics(net, "+++++\n", 10)
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print t
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