jrmccluskey commented on code in PR #24062:
URL: https://github.com/apache/beam/pull/24062#discussion_r1023177391
##########
sdks/python/apache_beam/ml/inference/pytorch_inference_test.py:
##########
@@ -315,6 +358,73 @@ def test_inference_runner_inference_args(self):
for actual, expected in zip(predictions, KEYED_TORCH_PREDICTIONS):
self.assertEqual(actual, expected)
+ def test_run_inference_helper(self):
+ examples = [
+ torch.from_numpy(np.array([1], dtype="float32")),
+ torch.from_numpy(np.array([5], dtype="float32")),
+ torch.from_numpy(np.array([-3], dtype="float32")),
+ torch.from_numpy(np.array([10.0], dtype="float32")),
+ ]
+ expected_predictions = [
+ PredictionResult(ex, pred) for ex,
+ pred in zip(
+ examples,
+ torch.Tensor([example * 2.0 + 0.5
+ for example in examples]).reshape(-1, 1))
+ ]
+
+ gen_fn = make_tensor_model_fn('generate')
+
+ model = PytorchLinearRegression(input_dim=1, output_dim=1)
+ model.load_state_dict(
+ OrderedDict([('linear.weight', torch.Tensor([[2.0]])),
+ ('linear.bias', torch.Tensor([0.5]))]))
+ model.eval()
+
+ inference_runner = TestPytorchModelHandlerForInferenceOnly(
+ torch.device('cpu'), inference_fn=gen_fn)
+ predictions = inference_runner.run_inference(examples, model)
Review Comment:
Okay that should be fixed now. Test models got `generate()` methods that
slightly change the output behavior so we can confirm that the routing is
different.
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