def smart_res_block_optim()

in utils.py [0:0]

• 31 lines of code
• 1 McCabe index (conditional complexity)

def smart_res_block_optim(inp, weights, reuse, scope, **kwargs):
    c1 = smart_conv_block(
        inp,
        weights,
        reuse,
        scope + '_res_c1',
        use_stride=False,
        activation=None,
        **kwargs)
    c1 = tf.nn.leaky_relu(c1)
    c2 = smart_conv_block(
        c1,
        weights,
        reuse,
        scope + '_res_c2',
        use_stride=False,
        activation=None,
        **kwargs)

    inp = tf.nn.avg_pool(inp, (1, 2, 2, 1), (1, 2, 2, 1), 'VALID')
    c_bypass = smart_conv_block(
        inp,
        weights,
        reuse,
        scope +
        '_res_adaptive',
        use_stride=False,
        activation=None,
        **kwargs)
    c2 = tf.nn.avg_pool(c2, (1, 2, 2, 1), (1, 2, 2, 1), 'VALID')

    res = c2 + c_bypass

    return c2