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* added template files for LXMERT and competed the configuration_lxmert.py * added modeling, tokization, testing, and finishing touched for lxmert [yet to be tested] * added model card for lxmert * cleaning up lxmert code * Update src/transformers/modeling_lxmert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/modeling_tf_lxmert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/modeling_tf_lxmert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/modeling_lxmert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * tested torch lxmert, changed documtention, updated outputs, and other small fixes * Update src/transformers/convert_pytorch_checkpoint_to_tf2.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/convert_pytorch_checkpoint_to_tf2.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/convert_pytorch_checkpoint_to_tf2.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * renaming, other small issues, did not change TF code in this commit * added lxmert question answering model in pytorch * added capability to edit number of qa labels for lxmert * made answer optional for lxmert question answering * add option to return hidden_states for lxmert * changed default qa labels for lxmert * changed config archive path * squshing 3 commits: merged UI + testing improvments + more UI and testing * changed some variable names for lxmert * TF LXMERT * Various fixes to LXMERT * Final touches to LXMERT * AutoTokenizer order * Add LXMERT to index.rst and README.md * Merge commit test fixes + Style update * TensorFlow 2.3.0 sequential model changes variable names Remove inherited test * Update src/transformers/modeling_tf_pytorch_utils.py * Update docs/source/model_doc/lxmert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/lxmert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/modeling_tf_lxmert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * added suggestions * Fixes * Final fixes for TF model * Fix docs Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
# coding=utf-8
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# Copyright 2018 LXMERT Authors.
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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 os
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import unittest
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from transformers.tokenization_bert import VOCAB_FILES_NAMES
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from transformers.tokenization_lxmert import LxmertTokenizer
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from .test_tokenization_common import TokenizerTesterMixin
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class LxmertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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tokenizer_class = LxmertTokenizer
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def setUp(self):
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super().setUp()
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vocab_tokens = [
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"[UNK]",
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"[CLS]",
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"[SEP]",
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"want",
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"##want",
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"##ed",
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"wa",
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"un",
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"runn",
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"##ing",
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",",
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"low",
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"lowest",
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]
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self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
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with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer:
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vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
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def get_tokenizer(self, **kwargs):
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return LxmertTokenizer.from_pretrained(self.tmpdirname, **kwargs)
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def get_input_output_texts(self, tokenizer):
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input_text = "UNwant\u00E9d,running"
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output_text = "unwanted, running"
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return input_text, output_text
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def test_full_tokenizer(self):
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tokenizer = self.tokenizer_class(self.vocab_file)
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tokens = tokenizer.tokenize("UNwant\u00E9d,running")
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self.assertListEqual(tokens, ["un", "##want", "##ed", ",", "runn", "##ing"])
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self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [7, 4, 5, 10, 8, 9])
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