Spaces:
Paused
Paused
# 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 contextlib | |
import importlib | |
import io | |
import unittest | |
import transformers | |
# Try to import everything from transformers to ensure every object can be loaded. | |
from transformers import * # noqa F406 | |
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_tf, require_torch | |
from transformers.utils import ContextManagers, find_labels, is_flax_available, is_tf_available, is_torch_available | |
if is_torch_available(): | |
from transformers import BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassification | |
if is_tf_available(): | |
from transformers import TFBertForPreTraining, TFBertForQuestionAnswering, TFBertForSequenceClassification | |
if is_flax_available(): | |
from transformers import FlaxBertForPreTraining, FlaxBertForQuestionAnswering, FlaxBertForSequenceClassification | |
MODEL_ID = DUMMY_UNKNOWN_IDENTIFIER | |
# An actual model hosted on huggingface.co | |
REVISION_ID_DEFAULT = "main" | |
# Default branch name | |
REVISION_ID_ONE_SPECIFIC_COMMIT = "f2c752cfc5c0ab6f4bdec59acea69eefbee381c2" | |
# One particular commit (not the top of `main`) | |
REVISION_ID_INVALID = "aaaaaaa" | |
# This commit does not exist, so we should 404. | |
PINNED_SHA1 = "d9e9f15bc825e4b2c9249e9578f884bbcb5e3684" | |
# Sha-1 of config.json on the top of `main`, for checking purposes | |
PINNED_SHA256 = "4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3" | |
# Sha-256 of pytorch_model.bin on the top of `main`, for checking purposes | |
# Dummy contexts to test `ContextManagers` | |
def context_en(): | |
print("Welcome!") | |
yield | |
print("Bye!") | |
def context_fr(): | |
print("Bonjour!") | |
yield | |
print("Au revoir!") | |
class TestImportMechanisms(unittest.TestCase): | |
def test_module_spec_available(self): | |
# If the spec is missing, importlib would not be able to import the module dynamically. | |
assert transformers.__spec__ is not None | |
assert importlib.util.find_spec("transformers") is not None | |
class GenericUtilTests(unittest.TestCase): | |
def test_context_managers_no_context(self, mock_stdout): | |
with ContextManagers([]): | |
print("Transformers are awesome!") | |
# The print statement adds a new line at the end of the output | |
self.assertEqual(mock_stdout.getvalue(), "Transformers are awesome!\n") | |
def test_context_managers_one_context(self, mock_stdout): | |
with ContextManagers([context_en()]): | |
print("Transformers are awesome!") | |
# The output should be wrapped with an English welcome and goodbye | |
self.assertEqual(mock_stdout.getvalue(), "Welcome!\nTransformers are awesome!\nBye!\n") | |
def test_context_managers_two_context(self, mock_stdout): | |
with ContextManagers([context_fr(), context_en()]): | |
print("Transformers are awesome!") | |
# The output should be wrapped with an English and French welcome and goodbye | |
self.assertEqual(mock_stdout.getvalue(), "Bonjour!\nWelcome!\nTransformers are awesome!\nBye!\nAu revoir!\n") | |
def test_find_labels_pt(self): | |
self.assertEqual(find_labels(BertForSequenceClassification), ["labels"]) | |
self.assertEqual(find_labels(BertForPreTraining), ["labels", "next_sentence_label"]) | |
self.assertEqual(find_labels(BertForQuestionAnswering), ["start_positions", "end_positions"]) | |
# find_labels works regardless of the class name (it detects the framework through inheritance) | |
class DummyModel(BertForSequenceClassification): | |
pass | |
self.assertEqual(find_labels(DummyModel), ["labels"]) | |
def test_find_labels_tf(self): | |
self.assertEqual(find_labels(TFBertForSequenceClassification), ["labels"]) | |
self.assertEqual(find_labels(TFBertForPreTraining), ["labels", "next_sentence_label"]) | |
self.assertEqual(find_labels(TFBertForQuestionAnswering), ["start_positions", "end_positions"]) | |
# find_labels works regardless of the class name (it detects the framework through inheritance) | |
class DummyModel(TFBertForSequenceClassification): | |
pass | |
self.assertEqual(find_labels(DummyModel), ["labels"]) | |
def test_find_labels_flax(self): | |
# Flax models don't have labels | |
self.assertEqual(find_labels(FlaxBertForSequenceClassification), []) | |
self.assertEqual(find_labels(FlaxBertForPreTraining), []) | |
self.assertEqual(find_labels(FlaxBertForQuestionAnswering), []) | |
# find_labels works regardless of the class name (it detects the framework through inheritance) | |
class DummyModel(FlaxBertForSequenceClassification): | |
pass | |
self.assertEqual(find_labels(DummyModel), []) | |