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https://github.com/huggingface/transformers.git
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c0c6815dc9
* add check and prepare args for BC to ProcessorMixin, improve ProcessorTesterMixin * change size and crop_size in processor kwargs tests to do_rescale and rescale_factor * remove unnecessary llava processor kwargs test overwrite * nit * change data_arg_name to input_name * Remove unnecessary test override * Remove unnecessary tests Paligemma * Move test_prepare_and_validate_optional_call_args to TesterMixin, add docstring
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
# coding=utf-8
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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import tempfile
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import unittest
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from transformers import XLMRobertaTokenizer, XLMRobertaTokenizerFast
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from transformers.testing_utils import require_vision
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from transformers.utils import is_vision_available
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from ...test_processing_common import ProcessorTesterMixin
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if is_vision_available():
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from transformers import AltCLIPProcessor, CLIPImageProcessor
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@require_vision
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class AltClipProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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processor_class = AltCLIPProcessor
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def setUp(self):
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self.model_id = "BAAI/AltCLIP"
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self.tmpdirname = tempfile.mkdtemp()
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image_processor = CLIPImageProcessor()
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tokenizer = XLMRobertaTokenizer.from_pretrained(self.model_id)
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processor = self.processor_class(image_processor, tokenizer)
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processor.save_pretrained(self.tmpdirname)
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def get_tokenizer(self, **kwargs):
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return XLMRobertaTokenizer.from_pretrained(self.model_id, **kwargs)
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def get_rust_tokenizer(self, **kwargs):
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return XLMRobertaTokenizerFast.from_pretrained(self.model_id, **kwargs)
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def get_image_processor(self, **kwargs):
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return CLIPImageProcessor.from_pretrained(self.model_id, **kwargs)
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