Move test model folders (#17034)

* move test model folders (TODO: fix imports and others)

* fix (potentially partially) imports (in model test modules)

* fix (potentially partially) imports (in tokenization test modules)

* fix (potentially partially) imports (in feature extraction test modules)

* fix import utils.test_modeling_tf_core

* fix path ../fixtures/

* fix imports about generation.test_generation_flax_utils

* fix more imports

* fix fixture path

* fix get_test_dir

* update module_to_test_file

* fix get_tests_dir from wrong transformers.utils

* update config.yml (CircleCI)

* fix style

* remove missing imports

* update new model script

* update check_repo

* update SPECIAL_MODULE_TO_TEST_MAP

* fix style

* add __init__

* update self-scheduled

* fix add_new_model scripts

* check one way to get location back

* python setup.py build install

* fix import in test auto

* update self-scheduled.yml

* update slack notification script

* Add comments about artifact names

* fix for yolos

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/bartpho/test_tokenization_bartpho.py

@@ -0,0 +1,67 @@
+# coding=utf-8
+# Copyright 2021 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.
+
+
+import os
+import unittest
+
+from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
+from transformers.testing_utils import get_tests_dir
+
+from ...test_tokenization_common import TokenizerTesterMixin
+
+
+SAMPLE_VOCAB = get_tests_dir("fixtures/test_sentencepiece_bpe.model")
+
+
+class BartphoTokenizerTest(TokenizerTesterMixin, unittest.TestCase):
+
+    tokenizer_class = BartphoTokenizer
+    test_rust_tokenizer = False
+    test_sentencepiece = True
+
+    def setUp(self):
+        super().setUp()
+
+        vocab = ["▁This", "▁is", "▁a", "▁t", "est"]
+        vocab_tokens = dict(zip(vocab, range(len(vocab))))
+        self.special_tokens_map = {"unk_token": "<unk>"}
+
+        self.monolingual_vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["monolingual_vocab_file"])
+        with open(self.monolingual_vocab_file, "w", encoding="utf-8") as fp:
+            for token in vocab_tokens:
+                fp.write(f"{token} {vocab_tokens[token]}\n")
+
+        tokenizer = BartphoTokenizer(SAMPLE_VOCAB, self.monolingual_vocab_file, **self.special_tokens_map)
+        tokenizer.save_pretrained(self.tmpdirname)
+
+    def get_tokenizer(self, **kwargs):
+        kwargs.update(self.special_tokens_map)
+        return BartphoTokenizer.from_pretrained(self.tmpdirname, **kwargs)
+
+    def get_input_output_texts(self, tokenizer):
+        input_text = "This is a là test"
+        output_text = "This is a<unk><unk> test"
+        return input_text, output_text
+
+    def test_full_tokenizer(self):
+        tokenizer = BartphoTokenizer(SAMPLE_VOCAB, self.monolingual_vocab_file, **self.special_tokens_map)
+        text = "This is a là test"
+        bpe_tokens = "▁This ▁is ▁a ▁l à ▁t est".split()
+        tokens = tokenizer.tokenize(text)
+        self.assertListEqual(tokens, bpe_tokens)
+
+        input_tokens = tokens + [tokenizer.unk_token]
+        input_bpe_tokens = [4, 5, 6, 3, 3, 7, 8, 3]
+        self.assertListEqual(tokenizer.convert_tokens_to_ids(input_tokens), input_bpe_tokens)