mmd_vae.py 文件源码

def conv2d_t_relu(inputs, num_outputs, kernel_size, stride):
    conv = tf.contrib.layers.convolution2d_transpose(inputs, num_outputs, kernel_size, stride,
                                                     weights_initializer=tf.contrib.layers.xavier_initializer(),
                                                     activation_fn=tf.identity)
    conv = tf.nn.relu(conv)
    return conv