Args:
        layers (list or layer): layer or list of layers to apply the arguments.

    Returns:
        a context where all appearance of these layer will by default have the
        arguments specified by kwargs.

    Example:
        .. code-block:: python

            with argscope(Conv2D, kernel_shape=3, nl=tf.nn.relu, out_channel=32):
                x = Conv2D('conv0', x)
                x = Conv2D('conv1', x)
                x = Conv2D('conv2', x, out_channel=64)  # override argscope

def argscope(layers, **kwargs):
    """
    Args:
        layers (list or layer): layer or list of layers to apply the arguments.

    Returns:
        a context where all appearance of these layer will by default have the
        arguments specified by kwargs.

    Example:
        .. code-block:: python

            with argscope(Conv2D, kernel_shape=3, nl=tf.nn.relu, out_channel=32):
                x = Conv2D('conv0', x)
                x = Conv2D('conv1', x)
                x = Conv2D('conv2', x, out_channel=64)  # override argscope

    """
    if not isinstance(layers, list):
        layers = [layers]

    # def _check_args_exist(l):
    #     args = inspect.getargspec(l).args
    #     for k, v in six.iteritems(kwargs):
    #         assert k in args, "No argument {} in {}".format(k, l.__name__)

    for l in layers:
        assert hasattr(l, 'symbolic_function'), "{} is not a registered layer".format(l.__name__)
        # _check_args_exist(l.symbolic_function)

    new_scope = copy.copy(get_arg_scope())
    for l in layers:
        new_scope[l.__name__].update(kwargs)
    _ArgScopeStack.append(new_scope)
    yield
    del _ArgScopeStack[-1]