riteshghorse commented on code in PR #26683:
URL: https://github.com/apache/beam/pull/26683#discussion_r1194109659
##########
sdks/python/apache_beam/ml/inference/pytorch_inference_test.py:
##########
@@ -893,5 +894,55 @@ def test_env_vars_set_correctly_keyed_tensor_handler(self):
self.assertTrue((os.environ['FOO']) == 'bar')
[email protected]_pytorch
+class PytorchInferenceTestWithMocks(unittest.TestCase):
+ def setUp(self):
+ self._load_model = pytorch_inference._load_model
+ pytorch_inference._load_model = unittest.mock.MagicMock(
+ return_value=("model", "device"))
+ self.tmpdir = tempfile.mkdtemp()
+ self.state_dict = OrderedDict([('linear.weight', torch.Tensor([[2.0, 3]])),
+ ('linear.bias', torch.Tensor([0.5]))])
+ self.torch_path = os.path.join(self.tmpdir, 'torch_model.pt')
+ torch.save(self.state_dict, self.torch_path)
+ self.model_params = {'input_dim': 2, 'output_dim': 1}
+
+ def tearDown(self):
+ pytorch_inference._load_model = self._load_model
+ shutil.rmtree(self.tmpdir)
+
+ def test_load_model_args_tensor(self):
+ load_model_args = {'weights_only': True}
+ model_handler = PytorchModelHandlerTensor(
+ state_dict_path=self.torch_path,
+ model_class=PytorchLinearRegression,
+ model_params=self.model_params,
+ load_model_args=load_model_args)
+ model_handler.load_model()
+ pytorch_inference._load_model.assert_called_with(
+ PytorchLinearRegression,
+ self.torch_path,
Review Comment:
done
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