Comments (2)
Thanks for bringing this to my attention. The problem is that no appropriate defaults were set for a couple of parameters to batch_normalize and the only way to pass them in is to use defaults_scope.
The workaround for now is to set them in a defaults_scope:
with pt.defaults_scope(learned_moments_update_rate=0.0003, variance_epsilon=0.001):
x = tf.placeholder(tf.float32, [None, 224, 224, 3])
net = pt.wrap(x)
net = net.conv2d(7, 64, batch_normalize=True)
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Defaults added and pt.BatchNormalizationArguments lets you customize the values passed through conv2d. Please reopon if this doesn't work for you
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