d8f4437d72f3f097eff59e172d02fd93db63713f,examples/sequence-measure-accuracy.py,,g_resize_conv_create,#Any#Any#Any#,100

Before Change

    gs = resize_conv_generator.create(config,gan,net)
    filter = [1,4,8,1]
    stride = [1,4,8,1]
    gs[0] = tf.nn.avg_pool(gs[0], ksize=filter, strides=stride, padding="SAME")
    //gs[0] = linear(tf.reshape(gs[0], [gan.config.batch_size, -1]), 2, scope="g_2d_lin")
    gs[0] = tf.reshape(gs[0], [gan.config.batch_size, 2])
    return gs

After Change

    )

def g_resize_conv_create(config, gan, net):
    gan.config.x_dims = [256,1]
    gan.config.channels = 1
    gs = resize_conv_generator.create(config,gan,net)
    filter = [1,4,8,1]
    stride = [1,4,8,1]

Instances