mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-03 12:50:06 +06:00
9f1260971f
* First draft of deit * More improvements * Remove DeiTTokenizerFast from init * Conversion script works * Add DeiT to ViT conversion script * Add tests, add head model, add support for deit in vit conversion script * Update model checkpoint names * Update image_mean and image_std, set resample to bicubic * Improve docs * Docs improvements * Add DeiTForImageClassificationWithTeacher to init * Address comments by @sgugger * Improve feature extractors * Make fix-copies * Minor fixes * Address comments by @patil-suraj * All models uploaded * Fix tests * Remove labels argument from DeiTForImageClassificationWithTeacher * Fix-copies, style and quality * Fix tests * Fix typo * Multiple docs improvements * More docs fixes
84 lines
3.3 KiB
Python
84 lines
3.3 KiB
Python
# coding=utf-8
|
|
# Copyright 2019 HuggingFace Inc.
|
|
#
|
|
# 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 json
|
|
import os
|
|
import tempfile
|
|
|
|
|
|
class ConfigTester(object):
|
|
def __init__(self, parent, config_class=None, has_text_modality=True, **kwargs):
|
|
self.parent = parent
|
|
self.config_class = config_class
|
|
self.has_text_modality = has_text_modality
|
|
self.inputs_dict = kwargs
|
|
|
|
def create_and_test_config_common_properties(self):
|
|
config = self.config_class(**self.inputs_dict)
|
|
if self.has_text_modality:
|
|
self.parent.assertTrue(hasattr(config, "vocab_size"))
|
|
self.parent.assertTrue(hasattr(config, "hidden_size"))
|
|
self.parent.assertTrue(hasattr(config, "num_attention_heads"))
|
|
self.parent.assertTrue(hasattr(config, "num_hidden_layers"))
|
|
|
|
def create_and_test_config_to_json_string(self):
|
|
config = self.config_class(**self.inputs_dict)
|
|
obj = json.loads(config.to_json_string())
|
|
for key, value in self.inputs_dict.items():
|
|
self.parent.assertEqual(obj[key], value)
|
|
|
|
def create_and_test_config_to_json_file(self):
|
|
config_first = self.config_class(**self.inputs_dict)
|
|
|
|
with tempfile.TemporaryDirectory() as tmpdirname:
|
|
json_file_path = os.path.join(tmpdirname, "config.json")
|
|
config_first.to_json_file(json_file_path)
|
|
config_second = self.config_class.from_json_file(json_file_path)
|
|
|
|
self.parent.assertEqual(config_second.to_dict(), config_first.to_dict())
|
|
|
|
def create_and_test_config_from_and_save_pretrained(self):
|
|
config_first = self.config_class(**self.inputs_dict)
|
|
|
|
with tempfile.TemporaryDirectory() as tmpdirname:
|
|
config_first.save_pretrained(tmpdirname)
|
|
config_second = self.config_class.from_pretrained(tmpdirname)
|
|
|
|
self.parent.assertEqual(config_second.to_dict(), config_first.to_dict())
|
|
|
|
def create_and_test_config_with_num_labels(self):
|
|
config = self.config_class(**self.inputs_dict, num_labels=5)
|
|
self.parent.assertEqual(len(config.id2label), 5)
|
|
self.parent.assertEqual(len(config.label2id), 5)
|
|
|
|
config.num_labels = 3
|
|
self.parent.assertEqual(len(config.id2label), 3)
|
|
self.parent.assertEqual(len(config.label2id), 3)
|
|
|
|
def check_config_can_be_init_without_params(self):
|
|
if self.config_class.is_composition:
|
|
return
|
|
config = self.config_class()
|
|
self.parent.assertIsNotNone(config)
|
|
|
|
def run_common_tests(self):
|
|
self.create_and_test_config_common_properties()
|
|
self.create_and_test_config_to_json_string()
|
|
self.create_and_test_config_to_json_file()
|
|
self.create_and_test_config_from_and_save_pretrained()
|
|
self.create_and_test_config_with_num_labels()
|
|
self.check_config_can_be_init_without_params()
|