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Zero
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# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import enum
from dataclasses import dataclass, field
from typing import Optional, Union
from peft.tuners.prompt_tuning import PromptTuningConfig
from peft.utils import PeftType
class MultitaskPromptTuningInit(str, enum.Enum):
# initialize prompt with text
TEXT = "TEXT"
# initialize prompt with random matrix
RANDOM = "RANDOM"
# average the prefix and column matrices obtained during source training
AVERAGE_SOURCE_TASKS = "AVERAGE_SOURCE_TASKS"
# pick prefix and column matrices for a particular task obtained during source training
EXACT_SOURCE_TASK = "EXACT_SOURCE_TASK"
# only use the prompt embeddings trained during source training
ONLY_SOURCE_SHARED = "ONLY_SOURCE_SHARED"
@dataclass
class MultitaskPromptTuningConfig(PromptTuningConfig):
prompt_tuning_init: Union[MultitaskPromptTuningInit, str] = field(
default=MultitaskPromptTuningInit.RANDOM,
metadata={
"help": (
"How to initialize the prompt tuning parameters. Can be one of TEXT, RANDOM, AVERAGE_SOURCE_TASKS, "
"EXACT_SOURCE_TASK, ONLY_SOURCE_SHARED."
),
},
)
prompt_tuning_init_state_dict_path: Optional[str] = field(
default=None,
metadata={
"help": (
"The path of source state dict. This is required when training the downstream target prompt from "
"the pretrained source prompt"
),
},
)
prompt_tuning_init_task: Optional[int] = field(default=0, metadata={"help": "source task id for initialization"})
num_ranks: Optional[int] = field(default=1, metadata={"help": "ranks"})
num_tasks: Optional[int] = field(default=1, metadata={"help": "number of tasks"})
def __post_init__(self):
self.peft_type = PeftType.MULTITASK_PROMPT_TUNING
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