transformers/tests/models/altclip/test_processor_altclip.py
Pablo Montalvo 50290cf7a0
Uniformize model processors (#31368)
* add initial design for uniform processors + align model

* add uniform processors for altclip + chinese_clip

* add uniform processors for blip + blip2

* fix mutable default 👀

* add configuration test

* handle structured kwargs w defaults + add test

* protect torch-specific test

* fix style

* fix

* rebase

* update processor to generic kwargs + test

* fix style

* add sensible kwargs merge

* update test

* fix assertEqual

* move kwargs merging to processing common

* rework kwargs for type hinting

* just get Unpack from extensions

* run-slow[align]

* handle kwargs passed as nested dict

* add from_pretrained test for nested kwargs handling

* [run-slow]align

* update documentation + imports

* update audio inputs

* protect audio types, silly

* try removing imports

* make things simpler

* simplerer

* move out kwargs test to common mixin

* [run-slow]align

* skip tests for old processors

* [run-slow]align, clip

* !$#@!! protect imports, darn it

* [run-slow]align, clip

* [run-slow]align, clip

* update common processor testing

* add altclip

* add chinese_clip

* add pad_size

* [run-slow]align, clip, chinese_clip, altclip

* remove duplicated tests

* fix

* add blip, blip2, bridgetower

Added tests for bridgetower which override common. Also modified common
tests to force center cropping if existing

* fix

* update doc

* improve documentation for default values

* add model_max_length testing

This parameter depends on tokenizers received.

* Raise if kwargs are specified in two places

* fix

* removed copied from

* match defaults

* force padding

* fix tokenizer test

* clean defaults

* move tests to common

* add missing import

* fix

* adapt bridgetower tests to shortest edge

* uniformize donut processor + tests

* add wav2vec2

* extend common testing to audio processors

* add testing + bert version

* propagate common kwargs to different modalities

* BC order of arguments

* check py version

* revert kwargs merging

* add draft overlap test

* update

* fix blip2 and wav2vec due to updates

* fix copies

* ensure overlapping kwargs do not disappear

* replace .pop by .get to handle duplicated kwargs

* fix copies

* fix missing import

* add clearly wav2vec2_bert to uniformized models

* fix copies

* increase number of features

* fix style

* [run-slow] blip, blip2, bridgetower, donut, wav2vec2, wav2vec2_bert

* [run-slow] blip, blip_2, bridgetower, donut, wav2vec2, wav2vec2_bert

* fix concatenation

* [run-slow] blip, blip_2, bridgetower, donut, wav2vec2, wav2vec2_bert

* Update tests/test_processing_common.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* 🧹

* address comments

* clean up + tests

* [run-slow] instructblip, blip, blip_2, bridgetower, donut, wav2vec2, wav2vec2_bert

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-10-02 10:41:08 +02:00

48 lines
1.7 KiB
Python

# coding=utf-8
# Copyright 2024 The HuggingFace Inc. 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 tempfile
import unittest
from transformers import AltCLIPProcessor, CLIPImageProcessor, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import require_vision
from ...test_processing_common import ProcessorTesterMixin
@require_vision
class AltClipProcessorTest(ProcessorTesterMixin, unittest.TestCase):
processor_class = AltCLIPProcessor
def setUp(self):
self.model_id = "BAAI/AltCLIP"
self.tmpdirname = tempfile.mkdtemp()
image_processor = CLIPImageProcessor()
tokenizer = XLMRobertaTokenizer.from_pretrained(self.model_id)
processor = self.processor_class(image_processor, tokenizer)
processor.save_pretrained(self.tmpdirname)
def get_tokenizer(self, **kwargs):
return XLMRobertaTokenizer.from_pretrained(self.model_id, **kwargs)
def get_rust_tokenizer(self, **kwargs):
return XLMRobertaTokenizerFast.from_pretrained(self.model_id, **kwargs)
def get_image_processor(self, **kwargs):
return CLIPImageProcessor.from_pretrained(self.model_id, **kwargs)