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https://issues.apache.org/jira/browse/BEAM-13972?focusedWorklogId=736388&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-736388
]
ASF GitHub Bot logged work on BEAM-13972:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Mar/22 22:15
Start Date: 03/Mar/22 22:15
Worklog Time Spent: 10m
Work Description: yeandy commented on a change in pull request #16917:
URL: https://github.com/apache/beam/pull/16917#discussion_r819105931
##########
File path: sdks/python/apache_beam/ml/inference/api.py
##########
@@ -0,0 +1,84 @@
+#
+# 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.
+#
+
+from dataclasses import dataclass
+from enum import Enum
+from typing import Tuple, TypeVar, Union
+
+import apache_beam as beam
+
+
+class PyTorchDevice(Enum):
+ CPU = 1
+ GPU = 2
+
+
+class SklearnSerializationType(Enum):
+ PICKLE = 1
+ JOBLIB = 2
+
+
+@dataclass
+class BaseModelSpec:
+ model_url: str
+
+
+@dataclass
+class PyTorchModelSpec(BaseModelSpec):
+ device: PyTorchDevice
+
+
+@dataclass
+class SklearnModelSpec(BaseModelSpec):
+ serialization_type: SklearnSerializationType
+
+
+_K = TypeVar('_K')
+_INPUT_TYPE = TypeVar('_INPUT_TYPE')
+_OUTPUT_TYPE = TypeVar('_OUTPUT_TYPE')
+
+
+@dataclass
+class PredictionResult:
+ example: _INPUT_TYPE
+ inference: _OUTPUT_TYPE
+
+
[email protected]_fn
[email protected]_input_types(Union[_INPUT_TYPE, Tuple[_K, _INPUT_TYPE]])
[email protected]_output_types(
+ Union[PredictionResult, Tuple[_K, PredictionResult]])
+def RunInference(
+ examples: beam.pvalue.PCollection,
+ model: BaseModelSpec) -> beam.pvalue.PCollection:
+ """Run inference with a model.
Review comment:
Thanks, I've updated the comments with your suggestion!
##########
File path: sdks/python/apache_beam/ml/inference/api.py
##########
@@ -0,0 +1,84 @@
+#
+# 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.
+#
+
+from dataclasses import dataclass
+from enum import Enum
+from typing import Tuple, TypeVar, Union
+
+import apache_beam as beam
+
+
+class PyTorchDevice(Enum):
+ CPU = 1
+ GPU = 2
+
+
+class SklearnSerializationType(Enum):
+ PICKLE = 1
+ JOBLIB = 2
+
+
+@dataclass
+class BaseModelSpec:
+ model_url: str
+
+
+@dataclass
+class PyTorchModelSpec(BaseModelSpec):
+ device: PyTorchDevice
+
+
+@dataclass
+class SklearnModelSpec(BaseModelSpec):
+ serialization_type: SklearnSerializationType
+
+
+_K = TypeVar('_K')
+_INPUT_TYPE = TypeVar('_INPUT_TYPE')
+_OUTPUT_TYPE = TypeVar('_OUTPUT_TYPE')
+
+
+@dataclass
+class PredictionResult:
+ example: _INPUT_TYPE
+ inference: _OUTPUT_TYPE
+
+
[email protected]_fn
[email protected]_input_types(Union[_INPUT_TYPE, Tuple[_K, _INPUT_TYPE]])
[email protected]_output_types(
+ Union[PredictionResult, Tuple[_K, PredictionResult]])
+def RunInference(
+ examples: beam.pvalue.PCollection,
+ model: BaseModelSpec) -> beam.pvalue.PCollection:
+ """Run inference with a model.
Review comment:
Thanks, I've updated the documentation with your suggestion!
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Issue Time Tracking
-------------------
Worklog Id: (was: 736388)
Time Spent: 7h (was: 6h 50m)
> Implement RunInference common interface
> ---------------------------------------
>
> Key: BEAM-13972
> URL: https://issues.apache.org/jira/browse/BEAM-13972
> Project: Beam
> Issue Type: Sub-task
> Components: sdk-py-core
> Reporter: Andy Ye
> Assignee: Andy Ye
> Priority: P2
> Labels: run-inference
> Time Spent: 7h
> Remaining Estimate: 0h
>
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