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Single precision generator
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# source: https://github.com/hwalsuklee/tensorflow-generative-model-collections/blob/master/ACGAN.py | |
with tf.variable_scope("generator", reuse=reuse): | |
# merge noise and code | |
z = concat([z, y], 1) | |
net = fc(z, 1024, scope='g_fc1', activation_fn=None) | |
net = bn(net, is_training=is_training, scope='g_bn1') | |
net = tf.nn.relu(net) | |
net = fc(net, 128 * 8 * 8, scope='g_fc2', activation_fn=None) | |
net = bn(net, is_training=is_training, scope='g_bn2') | |
net = tf.nn.relu(net) | |
net = tf.reshape(net, [self.batch_size, 8, 8, 128]) | |
net = deconv2d(net, [self.batch_size, 16, 16, 64], 4, 4, 2, 2, | |
name='g_dc3', data_type=self.dtype) | |
net = bn(net, is_training=is_training, scope='g_bn3') | |
net = tf.nn.relu(net) | |
net = deconv2d(net, [self.batch_size, self.output_height, | |
self.output_width, self.c_dim], 4, 4, 2, 2, | |
name='g_dc4', data_type=self.dtype) | |
out = tf.nn.sigmoid(net) | |
return out |
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