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add from_aistudio up and load unit test
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# Copyright (c) 2023 PaddlePaddle Authors. 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. |
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# Copyright (c) 2023 PaddlePaddle Authors. 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. | ||
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import os | ||
import sys | ||
import unittest | ||
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "../..")) | ||
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from paddlemix.models.groundingdino.modeling import GroundingDinoModel | ||
from paddlemix.processors.groundingdino_processing import ( | ||
GroudingDinoImageProcessor, | ||
GroudingDinoTextProcessor, | ||
) | ||
from tests.testing_utils import ai_studio_token, slow | ||
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repo_id = "aistudio/groundingdino-swint-ogc" | ||
bos_model_name = "GroundingDino/groundingdino-swint-ogc" | ||
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class FromAiStudioTester: | ||
def __init__(self): | ||
self.bos_model_name = bos_model_name | ||
self.token = ai_studio_token | ||
self.repo_id = repo_id | ||
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def prepare_from_bos(self): | ||
model = GroundingDinoModel.from_pretrained(self.bos_model_name) | ||
image_processor = GroudingDinoImageProcessor.from_pretrained(self.bos_model_name) | ||
text_processor = GroudingDinoTextProcessor.from_pretrained(self.bos_model_name) | ||
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return model, image_processor, text_processor | ||
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class AIStudioUpTester(unittest.TestCase): | ||
def setUp(self): | ||
self.tester = FromAiStudioTester() | ||
self.model, self.image_processor, self.text_processor = self.tester.prepare_from_bos() | ||
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@slow | ||
def test_model_up_aistusio(self): | ||
self.model.save_to_aistudio( | ||
repo_id=self.tester.repo_id, | ||
token=self.tester.token, | ||
private=True, | ||
license="Apache License 2.0", | ||
exist_ok=True, | ||
safe_serialization=True, | ||
) | ||
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def test_processor_up_aistusio(self): | ||
self.image_processor.save_to_aistudio( | ||
repo_id=self.tester.repo_id, | ||
token=self.tester.token, | ||
private=True, | ||
license="Apache License 2.0", | ||
exist_ok=True, | ||
) | ||
self.text_processor.save_to_aistudio( | ||
repo_id=self.tester.repo_id, | ||
token=self.tester.token, | ||
private=True, | ||
license="Apache License 2.0", | ||
exist_ok=True, | ||
) | ||
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class AIStudioLoadTester(unittest.TestCase): | ||
def setUp(self): | ||
self.tester = FromAiStudioTester() | ||
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@slow | ||
def test_model_load_aistusio(self): | ||
GroundingDinoModel.from_pretrained(self.tester.repo_id, from_aistudio=True) | ||
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def test_processor_load_aistusio(self): | ||
GroudingDinoTextProcessor.from_pretrained(self.tester.repo_id, from_aistudio=True) | ||
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def image_processor_load_aistusio(self): | ||
GroudingDinoImageProcessor.from_pretrained(self.tester.repo_id, from_aistudio=True) |
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