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eiderman avatar eiderman commented on September 26, 2024

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)

from prettytensor.

eiderman avatar eiderman commented on September 26, 2024

Defaults added and pt.BatchNormalizationArguments lets you customize the values passed through conv2d. Please reopon if this doesn't work for you

from prettytensor.

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