mirror of
https://github.com/wassname/peft.git
synced 2026-08-28 12:53:17 +08:00
Younes Belkada
2632e7eba7
* add ci tests * fix some tests * fix tests * rename * fix * update tests * try * temp hotfix * refactor tests * Update .github/workflows/tests.yml * fix test
104 lines
3.5 KiB
Python
104 lines
3.5 KiB
Python
# coding=utf-8
|
|
# 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.
|
|
from collections import OrderedDict
|
|
|
|
from peft import (
|
|
LoraConfig,
|
|
PrefixTuningConfig,
|
|
PromptEncoderConfig,
|
|
PromptTuningConfig,
|
|
)
|
|
|
|
|
|
CONFIG_CLASSES = (
|
|
LoraConfig,
|
|
PrefixTuningConfig,
|
|
PromptEncoderConfig,
|
|
PromptTuningConfig,
|
|
)
|
|
CONFIG_TESTING_KWARGS = (
|
|
{
|
|
"r": 8,
|
|
"lora_alpha": 32,
|
|
"target_modules": None,
|
|
"lora_dropout": 0.05,
|
|
"bias": "none",
|
|
"task_type": "CAUSAL_LM",
|
|
},
|
|
{
|
|
"num_virtual_tokens": 10,
|
|
"task_type": "CAUSAL_LM",
|
|
},
|
|
{
|
|
"num_virtual_tokens": 10,
|
|
"encoder_hidden_size": 32,
|
|
"task_type": "CAUSAL_LM",
|
|
},
|
|
{
|
|
"num_virtual_tokens": 10,
|
|
"task_type": "CAUSAL_LM",
|
|
},
|
|
)
|
|
|
|
CLASSES_MAPPING = {
|
|
"lora": (LoraConfig, CONFIG_TESTING_KWARGS[0]),
|
|
"prefix_tuning": (PrefixTuningConfig, CONFIG_TESTING_KWARGS[1]),
|
|
"prompt_encoder": (PromptEncoderConfig, CONFIG_TESTING_KWARGS[2]),
|
|
"prompt_tuning": (PromptTuningConfig, CONFIG_TESTING_KWARGS[3]),
|
|
}
|
|
|
|
|
|
# Adapted from https://github.com/huggingface/transformers/blob/48327c57182fdade7f7797d1eaad2d166de5c55b/src/transformers/activations.py#LL166C7-L166C22
|
|
class ClassInstantier(OrderedDict):
|
|
def __getitem__(self, key, *args, **kwargs):
|
|
# check if any of the kwargs is inside the config class kwargs
|
|
if any([kwarg in self[key][1] for kwarg in kwargs]):
|
|
new_config_kwargs = self[key][1].copy()
|
|
new_config_kwargs.update(kwargs)
|
|
return (self[key][0], new_config_kwargs)
|
|
|
|
return super().__getitem__(key, *args, **kwargs)
|
|
|
|
def get_grid_parameters(self, model_list):
|
|
r"""
|
|
Returns a list of all possible combinations of the parameters in the config classes.
|
|
"""
|
|
grid_parameters = []
|
|
for model_tuple in model_list:
|
|
model_id, lora_kwargs, prefix_tuning_kwargs, prompt_encoder_kwargs, prompt_tuning_kwargs = model_tuple
|
|
for key, value in self.items():
|
|
if key == "lora":
|
|
# update value[1] if necessary
|
|
if lora_kwargs is not None:
|
|
value[1].update(lora_kwargs)
|
|
elif key == "prefix_tuning":
|
|
# update value[1] if necessary
|
|
if prefix_tuning_kwargs is not None:
|
|
value[1].update(prefix_tuning_kwargs)
|
|
elif key == "prompt_encoder":
|
|
# update value[1] if necessary
|
|
if prompt_encoder_kwargs is not None:
|
|
value[1].update(prompt_encoder_kwargs)
|
|
else:
|
|
# update value[1] if necessary
|
|
if prompt_tuning_kwargs is not None:
|
|
value[1].update(prompt_tuning_kwargs)
|
|
grid_parameters.append((f"test_{model_id}_{key}", model_id, value[0], value[1]))
|
|
|
|
return grid_parameters
|
|
|
|
|
|
PeftTestConfigManager = ClassInstantier(CLASSES_MAPPING)
|