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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 Union
from peft.config import PromptLearningConfig
from peft.utils import PeftType
class PromptEncoderReparameterizationType(str, enum.Enum):
MLP = "MLP"
LSTM = "LSTM"
@dataclass
class PromptEncoderConfig(PromptLearningConfig):
"""
This is the configuration class to store the configuration of a [`PromptEncoder`].
Args:
encoder_reparameterization_type (Union[[`PromptEncoderReparameterizationType`], `str`]):
The type of reparameterization to use.
encoder_hidden_size (`int`): The hidden size of the prompt encoder.
encoder_num_layers (`int`): The number of layers of the prompt encoder.
encoder_dropout (`float`): The dropout probability of the prompt encoder.
"""
encoder_reparameterization_type: Union[str, PromptEncoderReparameterizationType] = field(
default=PromptEncoderReparameterizationType.MLP,
metadata={"help": "How to reparameterize the prompt encoder"},
)
encoder_hidden_size: int = field(
default=None,
metadata={"help": "The hidden size of the prompt encoder"},
)
encoder_num_layers: int = field(
default=2,
metadata={"help": "The number of layers of the prompt encoder"},
)
encoder_dropout: float = field(
default=0.0,
metadata={"help": "The dropout of the prompt encoder"},
)
def __post_init__(self):
self.peft_type = PeftType.P_TUNING
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