add unittest

Former-commit-id: 8a1f0c5f922989e08a19c65de0b2c4afd2a5771f
This commit is contained in:
hiyouga
2024-07-19 01:06:27 +08:00
parent 4c1513a845
commit 994b9089e9
16 changed files with 436 additions and 260 deletions

View File

@@ -16,8 +16,7 @@ import os
import torch
from llamafactory.hparams import get_infer_args, get_train_args
from llamafactory.model import load_model, load_tokenizer
from llamafactory.train.test_utils import load_infer_model, load_train_model
TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
@@ -46,20 +45,14 @@ INFER_ARGS = {
def test_full_train():
model_args, _, _, finetuning_args, _ = get_train_args(TRAIN_ARGS)
tokenizer_module = load_tokenizer(model_args)
model = load_model(tokenizer_module["tokenizer"], model_args, finetuning_args, is_trainable=True)
model = load_train_model(**TRAIN_ARGS)
for param in model.parameters():
assert param.requires_grad is True
assert param.dtype == torch.float32
def test_full_inference():
model_args, _, finetuning_args, _ = get_infer_args(INFER_ARGS)
tokenizer_module = load_tokenizer(model_args)
model = load_model(tokenizer_module["tokenizer"], model_args, finetuning_args, is_trainable=False)
model = load_infer_model(**INFER_ARGS)
for param in model.parameters():
assert param.requires_grad is False
assert param.dtype == torch.float16