dc21c8cd9125308ac4aaef3a4db25c48497f3fcd,tensornets/densenets.py,,densenet,#Any#Any#Any#Any#Any#Any#,39

Before Change

def densenet(x, blocks, is_training, classes, scope=None, reuse=None):
    x = pad(x, [[0, 0], [3, 3], [3, 3], [0, 0]], name="conv1/pad")
    x = conv(x, 64, 7, stride=2, scope="conv1")
    x = pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]], name="pool1/pad")
    x = max_pool2d(x, 3, stride=2, scope="pool1")

    x = dense(x, blocks[0], scope="conv2")
    x = transition(x, scope="pool2")

After Change

def densenet(x, blocks, is_training, classes, scope=None, reuse=None):
    x = pad(x, pad_info(7), name="conv1/pad")
    x = conv(x, 64, 7, stride=2, scope="conv1")
    x = pad(x, pad_info(3), name="pool1/pad")
    x = max_pool2d(x, 3, stride=2, scope="pool1")

    x = dense(x, blocks[0], scope="conv2")
    x = transition(x, scope="pool2")

Instances