resnet.py 文件源码

def conv2d_fixed_padding(**kwargs):
  """conv2d with fixed_padding, based only on kernel_size."""
  strides = kwargs["strides"]
  if strides > 1:
    kwargs["inputs"] = fixed_padding(kwargs["inputs"], kwargs["kernel_size"],
                                     kwargs["data_format"])

  defaults = {
      "padding": ("SAME" if strides == 1 else "VALID"),
      "use_bias": False,
      "kernel_initializer": tf.variance_scaling_initializer(),
  }
  defaults.update(kwargs)

  return tf.layers.conv2d(**defaults)