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# Copyright 2020 The HuggingFace Team. All rights reserved. | |
# | |
# 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 subprocess | |
import sys | |
from transformers import BertConfig, BertModel, BertTokenizer, pipeline | |
from transformers.testing_utils import TestCasePlus, require_torch | |
class OfflineTests(TestCasePlus): | |
def test_offline_mode(self): | |
# this test is a bit tricky since TRANSFORMERS_OFFLINE can only be changed before | |
# `transformers` is loaded, and it's too late for inside pytest - so we are changing it | |
# while running an external program | |
# python one-liner segments | |
# this must be loaded before socket.socket is monkey-patched | |
load = """ | |
from transformers import BertConfig, BertModel, BertTokenizer, pipeline | |
""" | |
run = """ | |
mname = "hf-internal-testing/tiny-random-bert" | |
BertConfig.from_pretrained(mname) | |
BertModel.from_pretrained(mname) | |
BertTokenizer.from_pretrained(mname) | |
pipe = pipeline(task="fill-mask", model=mname) | |
print("success") | |
""" | |
mock = """ | |
import socket | |
def offline_socket(*args, **kwargs): raise RuntimeError("Offline mode is enabled, we shouldn't access internet") | |
socket.socket = offline_socket | |
""" | |
# Force fetching the files so that we can use the cache | |
mname = "hf-internal-testing/tiny-random-bert" | |
BertConfig.from_pretrained(mname) | |
BertModel.from_pretrained(mname) | |
BertTokenizer.from_pretrained(mname) | |
pipeline(task="fill-mask", model=mname) | |
# baseline - just load from_pretrained with normal network | |
cmd = [sys.executable, "-c", "\n".join([load, run, mock])] | |
# should succeed | |
env = self.get_env() | |
# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files | |
env["TRANSFORMERS_OFFLINE"] = "1" | |
result = subprocess.run(cmd, env=env, check=False, capture_output=True) | |
self.assertEqual(result.returncode, 0, result.stderr) | |
self.assertIn("success", result.stdout.decode()) | |
def test_offline_mode_no_internet(self): | |
# python one-liner segments | |
# this must be loaded before socket.socket is monkey-patched | |
load = """ | |
from transformers import BertConfig, BertModel, BertTokenizer, pipeline | |
""" | |
run = """ | |
mname = "hf-internal-testing/tiny-random-bert" | |
BertConfig.from_pretrained(mname) | |
BertModel.from_pretrained(mname) | |
BertTokenizer.from_pretrained(mname) | |
pipe = pipeline(task="fill-mask", model=mname) | |
print("success") | |
""" | |
mock = """ | |
import socket | |
def offline_socket(*args, **kwargs): raise socket.error("Faking flaky internet") | |
socket.socket = offline_socket | |
""" | |
# Force fetching the files so that we can use the cache | |
mname = "hf-internal-testing/tiny-random-bert" | |
BertConfig.from_pretrained(mname) | |
BertModel.from_pretrained(mname) | |
BertTokenizer.from_pretrained(mname) | |
pipeline(task="fill-mask", model=mname) | |
# baseline - just load from_pretrained with normal network | |
cmd = [sys.executable, "-c", "\n".join([load, run, mock])] | |
# should succeed | |
env = self.get_env() | |
result = subprocess.run(cmd, env=env, check=False, capture_output=True) | |
self.assertEqual(result.returncode, 0, result.stderr) | |
self.assertIn("success", result.stdout.decode()) | |
def test_offline_mode_sharded_checkpoint(self): | |
# this test is a bit tricky since TRANSFORMERS_OFFLINE can only be changed before | |
# `transformers` is loaded, and it's too late for inside pytest - so we are changing it | |
# while running an external program | |
# python one-liner segments | |
# this must be loaded before socket.socket is monkey-patched | |
load = """ | |
from transformers import BertConfig, BertModel, BertTokenizer | |
""" | |
run = """ | |
mname = "hf-internal-testing/tiny-random-bert-sharded" | |
BertConfig.from_pretrained(mname) | |
BertModel.from_pretrained(mname) | |
print("success") | |
""" | |
mock = """ | |
import socket | |
def offline_socket(*args, **kwargs): raise ValueError("Offline mode is enabled") | |
socket.socket = offline_socket | |
""" | |
# baseline - just load from_pretrained with normal network | |
cmd = [sys.executable, "-c", "\n".join([load, run])] | |
# should succeed | |
env = self.get_env() | |
result = subprocess.run(cmd, env=env, check=False, capture_output=True) | |
self.assertEqual(result.returncode, 0, result.stderr) | |
self.assertIn("success", result.stdout.decode()) | |
# next emulate no network | |
cmd = [sys.executable, "-c", "\n".join([load, mock, run])] | |
# Doesn't fail anymore since the model is in the cache due to other tests, so commenting this. | |
# env["TRANSFORMERS_OFFLINE"] = "0" | |
# result = subprocess.run(cmd, env=env, check=False, capture_output=True) | |
# self.assertEqual(result.returncode, 1, result.stderr) | |
# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files | |
env["TRANSFORMERS_OFFLINE"] = "1" | |
result = subprocess.run(cmd, env=env, check=False, capture_output=True) | |
self.assertEqual(result.returncode, 0, result.stderr) | |
self.assertIn("success", result.stdout.decode()) | |
def test_offline_mode_pipeline_exception(self): | |
load = """ | |
from transformers import pipeline | |
""" | |
run = """ | |
mname = "hf-internal-testing/tiny-random-bert" | |
pipe = pipeline(model=mname) | |
""" | |
mock = """ | |
import socket | |
def offline_socket(*args, **kwargs): raise socket.error("Offline mode is enabled") | |
socket.socket = offline_socket | |
""" | |
env = self.get_env() | |
env["TRANSFORMERS_OFFLINE"] = "1" | |
cmd = [sys.executable, "-c", "\n".join([load, mock, run])] | |
result = subprocess.run(cmd, env=env, check=False, capture_output=True) | |
self.assertEqual(result.returncode, 1, result.stderr) | |
self.assertIn( | |
"You cannot infer task automatically within `pipeline` when using offline mode", | |
result.stderr.decode().replace("\n", ""), | |
) | |
def test_offline_model_dynamic_model(self): | |
load = """ | |
from transformers import AutoModel | |
""" | |
run = """ | |
mname = "hf-internal-testing/test_dynamic_model" | |
AutoModel.from_pretrained(mname, trust_remote_code=True) | |
print("success") | |
""" | |
# baseline - just load from_pretrained with normal network | |
cmd = [sys.executable, "-c", "\n".join([load, run])] | |
# should succeed | |
env = self.get_env() | |
result = subprocess.run(cmd, env=env, check=False, capture_output=True) | |
self.assertEqual(result.returncode, 0, result.stderr) | |
self.assertIn("success", result.stdout.decode()) | |
# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files | |
env["TRANSFORMERS_OFFLINE"] = "1" | |
result = subprocess.run(cmd, env=env, check=False, capture_output=True) | |
self.assertEqual(result.returncode, 0, result.stderr) | |
self.assertIn("success", result.stdout.decode()) | |