AnandInguva commented on a change in pull request #16917:
URL: https://github.com/apache/beam/pull/16917#discussion_r812188685



##########
File path: sdks/python/apache_beam/ml/inference/run_inference.py
##########
@@ -0,0 +1,43 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import apache_beam as beam
+from apache_beam.ml.inference.model import (
+    PytorchModel, RunInferenceModel, SklearnModel)

Review comment:
       I think 3 import statements should be written individually to remove the 
Lint error.

##########
File path: sdks/python/apache_beam/ml/inference/model.py
##########
@@ -0,0 +1,74 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import abc
+
+VALID_PYTORCH_DEVICE_TYPES = ['CPU', 'GPU']
+VALID_SKLEARN_SERIALIZATION_TYPES = ['JOBLIB', 'PICKLE']
+
+
+class RunInferenceModel(object):
+  '''
+  Base class for the RunInference Model.
+  This class contains information about
+  a model that is needed
+  '''
+  def __init__(self, model_url):
+    self._model_url = model_url
+    self._validate_model()
+
+  @abc.abstractmethod
+  def _validate_model(self):
+    raise NotImplementedError("Please implement _validate_model")
+
+
+class PytorchModel(RunInferenceModel):
+  '''
+  This class wraps the PyTorch model, and other
+  PyTorch-specific parameters
+  '''
+  def __init__(self, model_url: str, device: str):
+    super().__init__(model_url)
+    self._device = device
+    self._validate_device()
+
+  def _validate_model(self):
+    pass
+
+  def _validate_device(self):
+    if self._device not in VALID_PYTORCH_DEVICE_TYPES:

Review comment:
       user may provide `device=cpu`. 
   1. We can convert `self._device` to `self._device.upper()` to match the 
names in the device list
   




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