Loading deepchem/feat/tests/test_smiles_tokenizer.py +1 −0 Original line number Diff line number Diff line Loading @@ -14,6 +14,7 @@ class TestSmilesTokenizer(TestCase): """Tests the SmilesTokenizer to load the USPTO vocab file and a ChemBERTa Masked LM model with pre-trained weights..""" @unittest.skipIf(not has_transformers, 'transformers are not installed') @pytest.mark.torch def test_tokenize(self): current_dir = os.path.dirname(os.path.realpath(__file__)) vocab_path = os.path.join(current_dir, 'data', 'vocab.txt') Loading requirements/torch/env_torch.yml +1 −0 Original line number Diff line number Diff line Loading @@ -8,6 +8,7 @@ dependencies: - numpy==1.21.* - pip==20.2.* - pip: - transformers==4.6.* - tensorflow~=2.4 - dgllife==0.2.8 - pymatgen==2020.12.31 Loading Loading
deepchem/feat/tests/test_smiles_tokenizer.py +1 −0 Original line number Diff line number Diff line Loading @@ -14,6 +14,7 @@ class TestSmilesTokenizer(TestCase): """Tests the SmilesTokenizer to load the USPTO vocab file and a ChemBERTa Masked LM model with pre-trained weights..""" @unittest.skipIf(not has_transformers, 'transformers are not installed') @pytest.mark.torch def test_tokenize(self): current_dir = os.path.dirname(os.path.realpath(__file__)) vocab_path = os.path.join(current_dir, 'data', 'vocab.txt') Loading
requirements/torch/env_torch.yml +1 −0 Original line number Diff line number Diff line Loading @@ -8,6 +8,7 @@ dependencies: - numpy==1.21.* - pip==20.2.* - pip: - transformers==4.6.* - tensorflow~=2.4 - dgllife==0.2.8 - pymatgen==2020.12.31 Loading
