Question

我正在努力使以下代码正常工作。它一直在进行伯努利试验，直到获得成功为止。

# JMH version: 1.20
# VM version: JDK 1.8.0_192, VM 25.192-b12

# Benchmark: bench.Toggle.alwaysFalse

# Run progress: 0,00% complete, ETA 00:01:00
# Fork: 1 of 1
# Warmup Iteration   1: 3,875 ns/op
# Warmup Iteration   2: 3,369 ns/op
# Warmup Iteration   3: 2,699 ns/op
# Warmup Iteration   4: 2,696 ns/op
# Warmup Iteration   5: 2,703 ns/op
Iteration   1: 2,697 ns/op
Iteration   2: 2,696 ns/op
Iteration   3: 2,696 ns/op
Iteration   4: 2,706 ns/op
Iteration   5: *** Toggle switched *** 2,698 ns/op
Iteration   6: 2,698 ns/op
Iteration   7: 2,692 ns/op
Iteration   8: 2,707 ns/op
Iteration   9: 2,712 ns/op
Iteration  10: 2,702 ns/op


# Benchmark: bench.Toggle.alwaysTrue

# Run progress: 25,00% complete, ETA 00:00:48
# Fork: 1 of 1
# Warmup Iteration   1: 5,159 ns/op
# Warmup Iteration   2: 5,198 ns/op
# Warmup Iteration   3: 4,314 ns/op
# Warmup Iteration   4: 4,321 ns/op
# Warmup Iteration   5: 4,306 ns/op
Iteration   1: 4,306 ns/op
Iteration   2: 4,310 ns/op
Iteration   3: 4,297 ns/op
Iteration   4: 4,324 ns/op
Iteration   5: *** Toggle switched *** 4,356 ns/op
Iteration   6: 4,300 ns/op
Iteration   7: 4,310 ns/op
Iteration   8: 4,290 ns/op
Iteration   9: 4,297 ns/op
Iteration  10: 4,294 ns/op


# Benchmark: bench.Toggle.field

# Run progress: 50,00% complete, ETA 00:00:32
# Fork: 1 of 1
# Warmup Iteration   1: 3,596 ns/op
# Warmup Iteration   2: 3,429 ns/op
# Warmup Iteration   3: 2,973 ns/op
# Warmup Iteration   4: 2,937 ns/op
# Warmup Iteration   5: 2,934 ns/op
Iteration   1: 2,927 ns/op
Iteration   2: 2,928 ns/op
Iteration   3: 2,932 ns/op
Iteration   4: 2,929 ns/op
Iteration   5: *** Toggle switched *** 3,002 ns/op
Iteration   6: 4,887 ns/op
Iteration   7: 4,866 ns/op
Iteration   8: 4,877 ns/op
Iteration   9: 4,867 ns/op
Iteration  10: 4,877 ns/op


# Benchmark: bench.Toggle.mutableCallSite

# Run progress: 75,00% complete, ETA 00:00:16
# Fork: 1 of 1
# Warmup Iteration   1: 3,474 ns/op
# Warmup Iteration   2: 3,332 ns/op
# Warmup Iteration   3: 2,750 ns/op
# Warmup Iteration   4: 2,701 ns/op
# Warmup Iteration   5: 2,701 ns/op
Iteration   1: 2,697 ns/op
Iteration   2: 2,696 ns/op
Iteration   3: 2,699 ns/op
Iteration   4: 2,706 ns/op
Iteration   5: *** Toggle switched *** 2,771 ns/op
Iteration   6: 4,310 ns/op
Iteration   7: 4,306 ns/op
Iteration   8: 4,312 ns/op
Iteration   9: 4,317 ns/op
Iteration  10: 4,301 ns/op

上面的代码打印出从import tensorflow as tf import tensorflow_probability as tfp tfd = tfp.distributions def geometric(p): def cond(_): return tf.equal(1, tfd.Bernoulli(p).sample()) def body(t): return tf.add(t, 1) return tf.while_loop( cond, # name is automatically generated body, [tf.constant(0)] ) with tf.Session() as sess: acc = sess.run(geometric(0.001)) print(acc)到0的值，这没有意义。我希望它能打印数百种内容。此外，当我将3调用更改为geometric时，仍然得到相同的结果。

任何人都可以指出我上面的代码有什么问题吗？

Answer 1

您的条件是否逆转？我想你想不 1（而0）

tensorflow.while_loop，条件下来自tensorflow_distribution的样本

1 个答案: