dbed1c5d94
adding conversion script adding first draft of modeling & tokenization adding placeholder for test files bunch of changes registering the tokenizer/model/etc tests change link; something is very VERY wrong here weird end-of-word thingy going on i think the tokenization works now ; wrote the unit tests overall structure works;load w next the monster is alive! works after some cleanup as well adding emacs autosave to gitignore currently only supporting the 48 layer one; seems to infer fine on my macbook cleanup fixing some documentation fixing some documentation tests passing? now works on CUDA also adding greedy? adding greedy sampling works well
70 lines
2.7 KiB
Python
70 lines
2.7 KiB
Python
# coding=utf-8
|
|
# Copyright 2018 Salesforce and HuggingFace Inc. team.
|
|
# 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.
|
|
from __future__ import absolute_import, division, print_function, unicode_literals
|
|
|
|
import os
|
|
import unittest
|
|
import json
|
|
from io import open
|
|
|
|
from transformers.tokenization_ctrl import CTRLTokenizer, VOCAB_FILES_NAMES
|
|
|
|
from .tokenization_tests_commons import CommonTestCases
|
|
|
|
class CTRLTokenizationTest(CommonTestCases.CommonTokenizerTester):
|
|
|
|
tokenizer_class = CTRLTokenizer
|
|
|
|
def setUp(self):
|
|
super(CTRLTokenizationTest, self).setUp()
|
|
|
|
# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
|
|
vocab = ['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
|
|
vocab_tokens = dict(zip(vocab, range(len(vocab))))
|
|
merges = ["#version: 0.2", 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
|
|
self.special_tokens_map = {"unk_token": "<unk>"}
|
|
|
|
self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES['vocab_file'])
|
|
self.merges_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES['merges_file'])
|
|
with open(self.vocab_file, "w", encoding="utf-8") as fp:
|
|
fp.write(json.dumps(vocab_tokens) + "\n")
|
|
with open(self.merges_file, "w", encoding="utf-8") as fp:
|
|
fp.write("\n".join(merges))
|
|
|
|
def get_tokenizer(self, **kwargs):
|
|
kwargs.update(self.special_tokens_map)
|
|
return CTRLTokenizer.from_pretrained(self.tmpdirname, **kwargs)
|
|
|
|
def get_input_output_texts(self):
|
|
input_text = u"adapt react readapt apt"
|
|
output_text = u"adapt react readapt apt"
|
|
return input_text, output_text
|
|
|
|
def test_full_tokenizer(self):
|
|
tokenizer = CTRLTokenizer(self.vocab_file, self.merges_file, **self.special_tokens_map)
|
|
text = "adapt react readapt apt"
|
|
bpe_tokens = 'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
|
|
tokens = tokenizer.tokenize(text, add_prefix_space=True)
|
|
self.assertListEqual(tokens, bpe_tokens)
|
|
|
|
input_tokens = tokens + [tokenizer.unk_token]
|
|
|
|
input_bpe_tokens = [0, 1, 2, 4, 5, 1, 0, 3, 6]
|
|
self.assertListEqual(
|
|
tokenizer.convert_tokens_to_ids(input_tokens), input_bpe_tokens)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|