/usr/local/lib64/python3.6/site-packages/caffe2/python/models/seq2seq
NameSizeModeActions
__pycache__/-0755rm
beam_search.py170360644editdlrm
seq2seq_beam_search_test.py63760644editdlrm
seq2seq_model_helper.py26610644editdlrm
seq2seq_model_helper_test.py18380644editdlrm
seq2seq_util.py202330644editdlrm
train.py275180644editdlrm
translate.py241110644editdlrm
__init__.py00644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/caffe2/python/models/seq2seq/seq2seq_model_helper_test.py (1838B)
from caffe2.python.models.seq2seq import seq2seq_model_helper from caffe2.python import scope, test_util class Seq2SeqModelHelperTest(test_util.TestCase): def testConstuctor(self): model_name = 'TestModel' m = seq2seq_model_helper.Seq2SeqModelHelper(name=model_name) self.assertEqual(m.name, model_name) self.assertEqual(m.init_params, True) self.assertEqual(m.arg_scope, { 'use_cudnn': True, 'cudnn_exhaustive_search': False, 'order': 'NHWC' }) def testAddParam(self): m = seq2seq_model_helper.Seq2SeqModelHelper() param_name = 'test_param' param = m.AddParam(param_name, init_value=1) self.assertEqual(str(param), param_name) def testGetNonTrainableParams(self): m = seq2seq_model_helper.Seq2SeqModelHelper() m.AddParam('test_param1', init_value=1, trainable=True) p2 = m.AddParam('test_param2', init_value=2, trainable=False) self.assertEqual( m.GetNonTrainableParams(), [p2] ) with scope.NameScope('A', reset=True): p3 = m.AddParam('test_param3', init_value=3, trainable=False) self.assertEqual( m.GetNonTrainableParams(), [p3] ) self.assertEqual( m.GetNonTrainableParams(), [p2, p3] ) def testGetAllParams(self): m = seq2seq_model_helper.Seq2SeqModelHelper() p1 = m.AddParam('test_param1', init_value=1, trainable=True) p2 = m.AddParam('test_param2', init_value=2, trainable=False) self.assertEqual( m.GetAllParams(), [p1, p2] ) if __name__ == "__main__": import unittest import random random.seed(2221) unittest.main()