From 6cb75104b80c2ccb0a4d17c1c61e6a4ef7b50bd6 Mon Sep 17 00:00:00 2001 From: ChenXin Date: Tue, 14 May 2019 19:27:02 +0800 Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E6=94=B9=20tutorials=20=E7=9A=84?= =?UTF-8?q?=E6=B5=8B=E8=AF=95=E6=96=87=E4=BB=B6?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- test/test_tutorials.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/test/test_tutorials.py b/test/test_tutorials.py index 8c0e37bf..4b1889d4 100644 --- a/test/test_tutorials.py +++ b/test/test_tutorials.py @@ -10,7 +10,7 @@ from fastNLP.core.metrics import AccuracyMetric class TestTutorial(unittest.TestCase): def test_fastnlp_10min_tutorial(self): # 从csv读取数据到DataSet - sample_path = "tutorials/sample_data/tutorial_sample_dataset.csv" + sample_path = "data_for_tests/tutorial_sample_dataset.csv" dataset = DataSet.read_csv(sample_path, headers=('raw_sentence', 'label'), sep='\t') print(len(dataset)) @@ -76,9 +76,7 @@ class TestTutorial(unittest.TestCase): from copy import deepcopy # 更改DataSet中对应field的名称，要以模型的forward等参数名一致 - train_data.rename_field('words', 'word_seq') # input field 与 forward 参数一致 train_data.rename_field('label', 'label_seq') - test_data.rename_field('words', 'word_seq') test_data.rename_field('label', 'label_seq') loss = CrossEntropyLoss(pred="output", target="label_seq")