def _block_a(net, endpoints, d=64, scope='BlockA'):
with tf.variable_scope(scope):
net = endpoints[scope+'/Conv1'] = layers.conv2d(net, d, [3, 3], scope='Conv1_3x3')
net = endpoints[scope+'/Conv2'] = layers.conv2d(net, d, [3, 3], scope='Conv2_3x3')
net = endpoints[scope+'/Pool1'] = layers.max_pool2d(net, [2, 2], stride=2, scope='Pool1_2x2/2')
return net
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