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TST Add regression test for DoRA, VeRA, BOFT, LN Tuning #1792

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54 changes: 53 additions & 1 deletion tests/regression/test_regression.py
Original file line number Diff line number Diff line change
@@ -64,7 +64,18 @@
from transformers.pytorch_utils import Conv1D

import peft
from peft import AdaLoraConfig, IA3Config, LoHaConfig, LoKrConfig, LoraConfig, PeftModel, get_peft_model
from peft import (
AdaLoraConfig,
BOFTConfig,
IA3Config,
LNTuningConfig,
LoHaConfig,
LoKrConfig,
LoraConfig,
PeftModel,
VeraConfig,
get_peft_model,
)
from peft.utils import infer_device


@@ -299,6 +310,17 @@ def test_lora(self):
model = get_peft_model(base_model, config)
self.assert_results_equal_or_store(model, "lora_mlp")

def test_lora_dora(self):
base_model = self.load_base_model()
config = LoraConfig(
r=8,
init_lora_weights=False,
target_modules=["lin0"],
use_dora=True,
)
model = get_peft_model(base_model, config)
self.assert_results_equal_or_store(model, "lora_dora_mlp")

def test_adalora(self):
base_model = self.load_base_model()
config = AdaLoraConfig(
@@ -363,6 +385,27 @@ def test_lora_modules_to_save(self):
model = get_peft_model(base_model, config)
self.assert_results_equal_or_store(model, "lora_mlp_modules_to_save")

def test_boft(self):
base_model = self.load_base_model()
config = BOFTConfig(
boft_block_size=2,
target_modules=["lin0"],
)
model = get_peft_model(base_model, config)
self.assert_results_equal_or_store(model, "boft_mlp")

def test_ln_tuning(self):
base_model = self.load_base_model()
config = LNTuningConfig(target_modules=["lin0"])
model = get_peft_model(base_model, config)
self.assert_results_equal_or_store(model, "ln_tuning_mlp")

def test_vera_tuning(self):
base_model = self.load_base_model()
config = VeraConfig(target_modules=["lin0"])
model = get_peft_model(base_model, config)
self.assert_results_equal_or_store(model, "vera_tuning_mlp")


class TestLoraEmbConv1D(RegressionTester):
def get_output(self, model):
@@ -478,6 +521,15 @@ def test_lokr(self):
model = get_peft_model(base_model, config)
self.assert_results_equal_or_store(model, "lokr_conv2d")

def test_boft(self):
base_model = self.load_base_model()
config = BOFTConfig(
boft_block_size=3,
target_modules=["conv2d"],
)
model = get_peft_model(base_model, config)
self.assert_results_equal_or_store(model, "boft_conv2d")


class TestOpt(RegressionTester):
def get_output(self, model):