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import os
import shutil
import tempfile
import unittest
import json
import numpy as np
from swift.llm import MODEL_MAPPING, load_dataset
class TestRun3(unittest.TestCase):
def setUp(self):
print(f'Testing {type(self).__name__}.{self._testMethodName}')
self._tmp_dir = tempfile.TemporaryDirectory()
self.tmp_dir = self._tmp_dir.name
def tearDown(self):
shutil.rmtree(self.tmp_dir)
def load_ds(self, ds):
train_dataset, val_dataset = load_dataset(
ds,
split_dataset_ratio=0.0,
strict=False,
num_proc=1,
model_name=['小黄', 'Xiao Huang'],
model_author=['魔搭', 'ModelScope'])
return train_dataset.select(range(min(50, len(train_dataset))))
# def test_model_load(self):
# if os.path.exists('./models.txt'):
# with open('./models.txt', 'r') as f:
# models = json.load(f)
# else:
# models = []
# for model_name, model_meta in MODEL_MAPPING.items():
# meta_requires = model_meta.requires or []
# for group in model_meta.model_groups:
# model = group.models[0]
# if 'skip_test' in (group.tags or []) or model.ms_model_id in models:
# break
# requires = meta_requires + (group.requires or [])
# for req in requires:
# os.system(f'pip install "{req}"')
# if not any(['transformers' in req for req in requires]):
# os.system('pip install transformers -U')
# if not any(['accelerate' in req for req in requires]):
# os.system('pip install accelerate -U')
# try:
# model_arch_args = ''
# if model_meta.model_arch:
# model_arch_args = f'--model_arch {model_meta.model_arch}'
# cmd = ('PYTHONPATH=. python tests/llm/load_model.py '
# f'--ms_model_id {model.ms_model_id} {model_arch_args}')
# if os.system(cmd) != 0:
# raise RuntimeError()
# except Exception:
# passed = False
# else:
# passed = True
# models.append(model.ms_model_id)
# finally:
# if passed:
# with open('./models.txt', 'w') as f:
# json.dump(models, f)
# def test_template_load(self):
# if os.path.exists('./templates.txt'):
# with open('./templates.txt', 'r') as f:
# templates = json.load(f)
# else:
# templates = []
# for model_name, model_meta in MODEL_MAPPING.items():
# template = model_meta.template
# meta_requires = model_meta.requires or []
# for group in model_meta.model_groups:
# model = group.models[0]
# if 'skip_test' in (group.tags or []) or template in templates:
# break
# requires = meta_requires + (group.requires or [])
# for req in requires:
# os.system(f'pip install "{req}"')
# if not any(['transformers' in req for req in requires]):
# os.system('pip install transformers -U')
# if not any(['accelerate' in req for req in requires]):
# os.system('pip install accelerate -U')
# try:
# cmd = ('PYTHONPATH=. python tests/llm/load_template.py '
# f'--ms_model_id {model.ms_model_id} --template {template}')
# if os.system(cmd) != 0:
# raise RuntimeError()
# except Exception:
# import traceback
# print(traceback.format_exc())
# passed = False
# else:
# passed = True
# templates.append(template)
# finally:
# if passed:
# with open('./templates.txt', 'w') as f:
# json.dump(templates, f)
@unittest.skip('skip')
def test_template_compare(self):
if os.path.exists('./templates.txt'):
with open('./templates.txt', 'r') as f:
templates = json.load(f)
else:
templates = []
skip_model_type = {
'grok', 'deepseek_moe', 'deepseek_v2', 'deepseek_v2_5', 'llama3_1_omni', 'llava_next_qwen_hf',
'llava1_6_yi', 'llava_next_qwen', 'mixtral', 'codefuse_codellama', 'wizardlm2', 'wizardlm2_awq',
'openbuddy_deepseek', 'sus', 'openbuddy_mixtral', 'openbuddy_llama', 'dbrx', 'nenotron', 'reflection',
'xverse_moe', 'qwen2_moe', 'yuan2', 'wizardlm2_moe', 'emu3_gen', 'llava1_6_mistral', 'mplug_owl3_241101',
'llava1_6_yi_hf'
}
for model_name, model_meta in MODEL_MAPPING.items():
if model_name in skip_model_type:
continue
template = model_meta.template
meta_requires = model_meta.requires or []
for group in model_meta.model_groups:
model = group.models[0]
if 'awq' in model.ms_model_id.lower() or 'gptq' in model.ms_model_id.lower():
break
if template in templates:
break
requires = meta_requires + (group.requires or [])
for req in requires:
os.system(f'pip install "{req}"')
if not any(['transformers' in req for req in requires]):
os.system('pip install transformers -U')
if not any(['accelerate' in req for req in requires]):
os.system('pip install accelerate -U')
try:
cmd = ('CUDA_VISIBLE_DEVICES=0 PYTHONPATH=. python tests/llm/load_template.py '
f'--ms_model_id {model.ms_model_id} --template {template}')
if os.system(cmd) != 0:
raise RuntimeError()
cmd = (
'CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/mnt/workspace/yzhao/tastelikefeet/swift python tests/llm/load_template.py ' # noqa
f'--ms_model_id {model.ms_model_id} --template {template} --new 0')
if os.system(cmd) != 0:
raise RuntimeError()
with open('new_input_ids.txt', 'r') as f:
input_ids_new = json.load(f)
with open('old_input_ids.txt', 'r') as f:
input_ids_old = json.load(f)
print('model_id', model.ms_model_id, 'new:', input_ids_new, 'old:', input_ids_old)
self.assertTrue(np.allclose(input_ids_new['input_ids'], input_ids_old['input_ids']))
except Exception:
import traceback
print(traceback.format_exc())
passed = False
else:
passed = True
templates.append(template)
finally:
if passed:
with open('./templates.txt', 'w') as f:
json.dump(templates, f)
if os.path.exists('new_input_ids.txt'):
os.remove('new_input_ids.txt')
if os.path.exists('old_input_ids.txt'):
os.remove('old_input_ids.txt')
if __name__ == '__main__':
unittest.main()
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