Files
M1kep-KepPromptLang/lib/actions/pos_scale.py
T

72 lines
2.4 KiB
Python

from typing import Tuple, List
import torch
from torch.nn import Embedding
from custom_nodes.KepPromptLang.lib.action.base import (
Action,
PostModifiers,
MultiArgAction,
)
from custom_nodes.KepPromptLang.lib.actions.types import SegOrAction
class PosScaleAction(MultiArgAction):
grammar = 'posScale(" arg+ ")"'
chars = ["[", "]"]
display_name = "Positional Embedding Scale"
action_name = "posScale"
description = "Scales(Multiplies) the positional embeddings of the provided segments or actions by the multiplier."
usage_examples = [
"A posScale(cat|1.5) on a rainy day",
]
def __init__(self, args: List[List[SegOrAction]]) -> None:
super().__init__(args)
if len(args) != 2:
raise ValueError("PosScale action should have exactly two arguments")
self.target_arg = args[0]
self._parse_multiplier(args[1])
def _parse_multiplier(self, arg: List[SegOrAction]) -> None:
if len(arg) != 1:
raise ValueError(
"PosScale actions multiplier should have exactly one segment"
)
multiplier_seg_or_action = arg[0]
if isinstance(multiplier_seg_or_action, Action):
raise ValueError("PosScale actions multiplier must be a number")
try:
self.parsed_multiplier = float(multiplier_seg_or_action.text)
except ValueError:
raise ValueError(
"PosScale action should have an integer/float as the multiplier"
)
def token_length(self) -> int:
"""
PosScale modifies the posional embeddings of the base segment, so the length is the length of the base segment
:return:
"""
total_length = 0
for seg_or_action in self.target_arg:
total_length += seg_or_action.token_length()
return total_length
def get_result(self, embedding_module: Embedding) -> Tuple[torch.Tensor, PostModifiers]:
all_embeddings = []
for seg_or_action in self.target_arg:
if isinstance(seg_or_action, Action):
all_embeddings.append(seg_or_action.get_result(embedding_module))
else:
all_embeddings.append(seg_or_action.get_embeddings(embedding_module))
target_embeddings = torch.cat(all_embeddings, dim=1)
return target_embeddings, {"position_embed_scale": self.parsed_multiplier}