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fix tests

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This commit is contained in:
thomwolf
2018-11-17 11:58:14 +01:00
parent a99b971738
commit 757750d6f6
9 changed files with 48 additions and 61 deletions
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10
tests/modeling_test.py
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@@ -22,7 +22,7 @@ import random
import torch
import modeling
from pytorch_pretrained_bert import BertConfig, BertModel
class BertModelTest(unittest.TestCase):
@@ -77,8 +77,8 @@ class BertModelTest(unittest.TestCase):
if self.use_token_type_ids:
token_type_ids = BertModelTest.ids_tensor([self.batch_size, self.seq_length], self.type_vocab_size)
config = modeling.BertConfig(
vocab_size=self.vocab_size,
config = BertConfig(
vocab_size_or_config_json_file=self.vocab_size,
hidden_size=self.hidden_size,
num_hidden_layers=self.num_hidden_layers,
num_attention_heads=self.num_attention_heads,
@@ -90,7 +90,7 @@ class BertModelTest(unittest.TestCase):
type_vocab_size=self.type_vocab_size,
initializer_range=self.initializer_range)
model = modeling.BertModel(config=config)
model = BertModel(config=config)
all_encoder_layers, pooled_output = model(input_ids, token_type_ids, input_mask)
@@ -112,7 +112,7 @@ class BertModelTest(unittest.TestCase):
self.run_tester(BertModelTest.BertModelTester(self))
def test_config_to_json_string(self):
config = modeling.BertConfig(vocab_size=99, hidden_size=37)
config = BertConfig(vocab_size_or_config_json_file=99, hidden_size=37)
obj = json.loads(config.to_json_string())
self.assertEqual(obj["vocab_size"], 99)
self.assertEqual(obj["hidden_size"], 37)

4
tests/optimization_test.py
View File

@@ -20,7 +20,7 @@ import unittest
import torch
import optimization
from pytorch_pretrained_bert import BertAdam
class OptimizationTest(unittest.TestCase):
@@ -34,7 +34,7 @@ class OptimizationTest(unittest.TestCase):
target = torch.tensor([0.4, 0.2, -0.5])
criterion = torch.nn.MSELoss(reduction='elementwise_mean')
# No warmup, constant schedule, no gradient clipping
optimizer = optimization.BERTAdam(params=[w], lr=2e-1,
optimizer = BertAdam(params=[w], lr=2e-1,
weight_decay_rate=0.0,
max_grad_norm=-1)
for _ in range(100):

63
tests/tokenization_test.py
View File

@@ -19,7 +19,8 @@ from __future__ import print_function
import os
import unittest
import tokenization
from pytorch_pretrained_bert.tokenization import (BertTokenizer, BasicTokenizer, WordpieceTokenizer,
_is_whitespace, _is_control, _is_punctuation)
class TokenizationTest(unittest.TestCase):
@@ -34,7 +35,7 @@ class TokenizationTest(unittest.TestCase):
vocab_file = vocab_writer.name
tokenizer = tokenization.BertTokenizer(vocab_file)
tokenizer = BertTokenizer(vocab_file)
os.remove(vocab_file)
tokens = tokenizer.tokenize(u"UNwant\u00E9d,running")
@@ -44,14 +45,14 @@ class TokenizationTest(unittest.TestCase):
tokenizer.convert_tokens_to_ids(tokens), [7, 4, 5, 10, 8, 9])
def test_chinese(self):
tokenizer = tokenization.BasicTokenizer()
tokenizer = BasicTokenizer()
self.assertListEqual(
tokenizer.tokenize(u"ah\u535A\u63A8zz"),
[u"ah", u"\u535A", u"\u63A8", u"zz"])
def test_basic_tokenizer_lower(self):
tokenizer = tokenization.BasicTokenizer(do_lower_case=True)
tokenizer = BasicTokenizer(do_lower_case=True)
self.assertListEqual(
tokenizer.tokenize(u" \tHeLLo!how \n Are yoU? "),
@@ -59,7 +60,7 @@ class TokenizationTest(unittest.TestCase):
self.assertListEqual(tokenizer.tokenize(u"H\u00E9llo"), ["hello"])
def test_basic_tokenizer_no_lower(self):
tokenizer = tokenization.BasicTokenizer(do_lower_case=False)
tokenizer = BasicTokenizer(do_lower_case=False)
self.assertListEqual(
tokenizer.tokenize(u" \tHeLLo!how \n Are yoU? "),
@@ -74,7 +75,7 @@ class TokenizationTest(unittest.TestCase):
vocab = {}
for (i, token) in enumerate(vocab_tokens):
vocab[token] = i
tokenizer = tokenization.WordpieceTokenizer(vocab=vocab)
tokenizer = WordpieceTokenizer(vocab=vocab)
self.assertListEqual(tokenizer.tokenize(""), [])
@@ -85,46 +86,32 @@ class TokenizationTest(unittest.TestCase):
self.assertListEqual(
tokenizer.tokenize("unwantedX running"), ["[UNK]", "runn", "##ing"])
def test_convert_tokens_to_ids(self):
vocab_tokens = [
"[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn",
"##ing"
]
vocab = {}
for (i, token) in enumerate(vocab_tokens):
vocab[token] = i
self.assertListEqual(
tokenization.convert_tokens_to_ids(
vocab, ["un", "##want", "##ed", "runn", "##ing"]), [7, 4, 5, 8, 9])
def test_is_whitespace(self):
self.assertTrue(tokenization._is_whitespace(u" "))
self.assertTrue(tokenization._is_whitespace(u"\t"))
self.assertTrue(tokenization._is_whitespace(u"\r"))
self.assertTrue(tokenization._is_whitespace(u"\n"))
self.assertTrue(tokenization._is_whitespace(u"\u00A0"))
self.assertTrue(_is_whitespace(u" "))
self.assertTrue(_is_whitespace(u"\t"))
self.assertTrue(_is_whitespace(u"\r"))
self.assertTrue(_is_whitespace(u"\n"))
self.assertTrue(_is_whitespace(u"\u00A0"))
self.assertFalse(tokenization._is_whitespace(u"A"))
self.assertFalse(tokenization._is_whitespace(u"-"))
self.assertFalse(_is_whitespace(u"A"))
self.assertFalse(_is_whitespace(u"-"))
def test_is_control(self):
self.assertTrue(tokenization._is_control(u"\u0005"))
self.assertTrue(_is_control(u"\u0005"))
self.assertFalse(tokenization._is_control(u"A"))
self.assertFalse(tokenization._is_control(u" "))
self.assertFalse(tokenization._is_control(u"\t"))
self.assertFalse(tokenization._is_control(u"\r"))
self.assertFalse(_is_control(u"A"))
self.assertFalse(_is_control(u" "))
self.assertFalse(_is_control(u"\t"))
self.assertFalse(_is_control(u"\r"))
def test_is_punctuation(self):
self.assertTrue(tokenization._is_punctuation(u"-"))
self.assertTrue(tokenization._is_punctuation(u"$"))
self.assertTrue(tokenization._is_punctuation(u"`"))
self.assertTrue(tokenization._is_punctuation(u"."))
self.assertTrue(_is_punctuation(u"-"))
self.assertTrue(_is_punctuation(u"$"))
self.assertTrue(_is_punctuation(u"`"))
self.assertTrue(_is_punctuation(u"."))
self.assertFalse(tokenization._is_punctuation(u"A"))
self.assertFalse(tokenization._is_punctuation(u" "))
self.assertFalse(_is_punctuation(u"A"))
self.assertFalse(_is_punctuation(u" "))
if __name__ == '__main__':