utils.py

def extend_instance(obj, mixin):
    """Apply mixins to a class instance after creation"""
    base_cls = obj.__class__
    base_cls_name = obj.__class__.__name__
    obj.__class__ = type(
        base_cls_name, (mixin, base_cls), {}
    )  # mixin needs to go first for our forward() logic to work


def getattr_recursive(obj, att):
    """
    Return nested attribute of obj
    Example: getattr_recursive(obj, 'a.b.c') is equivalent to obj.a.b.c
    """
    if att == "":
        return obj
    i = att.find(".")
    if i < 0:
        return getattr(obj, att)
    else:
        return getattr_recursive(getattr(obj, att[:i]), att[i + 1 :])


def setattr_recursive(obj, att, val):
    """
    Set nested attribute of obj
    Example: setattr_recursive(obj, 'a.b.c', val) is equivalent to obj.a.b.c = val
    """
    if "." in att:
        obj = getattr_recursive(obj, ".".join(att.split(".")[:-1]))
    setattr(obj, att.split(".")[-1], val)


def apply_with_stopping_condition(
    module, apply_fn, apply_condition=None, stopping_condition=None, **other_args
):
    if stopping_condition(module):
        return
    if apply_condition(module):
        apply_fn(module, **other_args)
    for child in module.children():
        apply_with_stopping_condition(
            child,
            apply_fn,
            apply_condition=apply_condition,
            stopping_condition=stopping_condition,
            **other_args
        )

__KNOWN_DECODER_LAYERS_ATTR_NAMES = {
    "opt": "model.decoder.layers",
    "gptj": "transformer.h",
    "gpt-j": "transformer.h",
    "pythia": "gpt_neox.layers",
    "llama": "model.layers",
    "gptneoxforcausallm": "gpt_neox.layers",
    "mpt": "transformer.blocks",
    "mosaicgpt": "transformer.blocks",
    "internlm2forcausallm": "model.layers",
}

def _infer_decoder_layers_attr_name(model):
    for k in __KNOWN_DECODER_LAYERS_ATTR_NAMES:
        if k.lower() in model.__class__.__name__.lower():
            return __KNOWN_DECODER_LAYERS_ATTR_NAMES[k]

    raise ValueError(
        f"We require the attribute name for the nn.ModuleList in the decoder storing the transformer block layers. Please supply this string manually."
    )