Function sample

rl3/a2c/neural_network.py:6–8 · view source on GitHub ↗

(logits)

Source from the content-addressed store, hash-verified

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6	def sample(logits):
7	noise = tf.random_uniform(tf.shape(logits))
8	return tf.argmax(logits - tf.log(-tf.log(noise)), 1)
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11	def conv(inputs, nf, ks, strides, gain=1.0):

__init__Method · 0.85

no outgoing calls

no test coverage detected