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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
import unittest
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
from transformers.testing_utils import TestCasePlus, require_torch
class OfflineTests(TestCasePlus):
@require_torch
@unittest.skip("This test is failing on main") # TODO matt/ydshieh, this test needs to be fixed
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
# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
stdout, _ = self._execute_with_env(load, run, mock, TRANSFORMERS_OFFLINE="1")
self.assertIn("success", stdout)
@require_torch
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
# should succeed
stdout, _ = self._execute_with_env(load, run, mock)
self.assertIn("success", stdout)
@require_torch
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
# should succeed
stdout, _ = self._execute_with_env(load, run)
self.assertIn("success", stdout)
# next emulate no network
# Doesn't fail anymore since the model is in the cache due to other tests, so commenting this.
# self._execute_with_env(load, mock, run, should_fail=True, TRANSFORMERS_OFFLINE="0")
# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
stdout, _ = self._execute_with_env(load, mock, run, TRANSFORMERS_OFFLINE="1")
self.assertIn("success", stdout)
@require_torch
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
"""
_, stderr = self._execute_with_env(load, mock, run, should_fail=True, TRANSFORMERS_OFFLINE="1")
self.assertIn(
"You cannot infer task automatically within `pipeline` when using offline mode",
stderr.replace("\n", ""),
)
@require_torch
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
# should succeed
stdout, _ = self._execute_with_env(load, run)
self.assertIn("success", stdout)
# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
stdout, _ = self._execute_with_env(load, run, TRANSFORMERS_OFFLINE="1")
self.assertIn("success", stdout)
def test_is_offline_mode(self):
"""
Test `_is_offline_mode` helper (should respect both HF_HUB_OFFLINE and legacy TRANSFORMERS_OFFLINE env vars)
"""
load = "from transformers.utils import is_offline_mode"
run = "print(is_offline_mode())"
stdout, _ = self._execute_with_env(load, run)
self.assertIn("False", stdout)
stdout, _ = self._execute_with_env(load, run, TRANSFORMERS_OFFLINE="1")
self.assertIn("True", stdout)
stdout, _ = self._execute_with_env(load, run, HF_HUB_OFFLINE="1")
self.assertIn("True", stdout)
def _execute_with_env(self, *commands: tuple[str, ...], should_fail: bool = False, **env) -> tuple[str, str]:
"""Execute Python code with a given environment and return the stdout/stderr as strings.
If `should_fail=True`, the command is expected to fail. Otherwise, it should succeed.
Environment variables can be passed as keyword arguments.
"""
# Build command
cmd = [sys.executable, "-c", "\n".join(commands)]
# Configure env
new_env = self.get_env()
new_env.update(env)
# Run command
result = subprocess.run(cmd, env=new_env, check=False, capture_output=True)
# Check execution
if should_fail:
self.assertNotEqual(result.returncode, 0, result.stderr)
else:
self.assertEqual(result.returncode, 0, result.stderr)
# Return output
return result.stdout.decode(), result.stderr.decode()
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