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87 lines
3.5 KiB
Python
87 lines
3.5 KiB
Python
# Copyright 2026 The HuggingFace 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 unittest
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from transformers import PPChart2TableProcessor
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from transformers.models.pp_chart2table import PPChart2TableImageProcessor
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from transformers.testing_utils import require_vision
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from ...test_processing_common import ProcessorTesterMixin
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@require_vision
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class PPChart2TableProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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processor_class = PPChart2TableProcessor
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# Tiny processor created with make_tiny_processor.py from "PaddlePaddle/PP-Chart2Table_safetensors"
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tiny_model_id = "hf-internal-testing/tiny-processor-pp_chart2table"
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@classmethod
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def _setup_image_processor(cls):
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# Default image processor has model_input_names=['pixel_values'] (no original_image_size)
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return PPChart2TableImageProcessor()
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def test_ocr_queries(self):
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processor = self.get_processor()
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image_input = self.prepare_image_inputs()
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conversation = [{"role": "user", "content": []}]
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inputs = processor.apply_chat_template(
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conversation,
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tokenize=False,
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add_generation_prompt=True,
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)
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inputs = processor(images=image_input, text=inputs, return_tensors="pt")
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self.assertEqual(inputs["input_ids"].shape, (1, 324))
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self.assertEqual(inputs["pixel_values"].shape, (1, 3, 1024, 1024))
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def test_unstructured_kwargs_batched(self):
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if "image_processor" not in self.processor_class.get_attributes():
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self.skipTest(f"image_processor attribute not present in {self.processor_class}")
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processor_components = self.prepare_components()
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processor_kwargs = self.prepare_processor_dict()
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processor = self.processor_class(**processor_components, **processor_kwargs)
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self.skip_processor_without_typed_kwargs(processor)
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input_str = self.prepare_text_inputs(batch_size=2, modalities="image")
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image_input = self.prepare_image_inputs(batch_size=2)
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inputs = processor(
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text=input_str,
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images=image_input,
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return_tensors="pt",
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do_rescale=True,
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rescale_factor=-1.0,
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padding="longest",
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max_length=self.image_unstructured_max_length,
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)
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self.assertLessEqual(inputs[self.images_input_name][0][0].mean(), 0)
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@unittest.skip(
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reason="PPChart2Table relies on a heavily predetermined input format; chat template usage is not intended as expected"
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)
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def test_apply_chat_template_assistant_mask(self):
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pass
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@unittest.skip(
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reason="PPChart2Table relies on a heavily predetermined input format; chat template usage is not intended as expected"
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)
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def test_apply_chat_template_image_0(self):
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pass
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@unittest.skip(
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reason="PPChart2Table relies on a heavily predetermined input format; chat template usage is not intended as expected"
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)
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def test_apply_chat_template_image_1(self):
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pass
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