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@@ -225,7 +225,7 @@ class ResNet(object):
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def _bottleneck_residual(self, x, in_filter, out_filter, stride,
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activate_before_residual=False):
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- """Bottleneck resisual unit with 3 sub layers."""
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+ """Bottleneck residual unit with 3 sub layers."""
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if activate_before_residual:
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with tf.variable_scope('common_bn_relu'):
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x = self._batch_norm('init_bn', x)
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