yeandy commented on code in PR #21758: URL: https://github.com/apache/beam/pull/21758#discussion_r894710084
########## sdks/python/apache_beam/examples/inference/README.md: ########## @@ -0,0 +1,111 @@ +<!-- + 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. +--> + +# Example RunInference API Pipelines + +This module contains example pipelines that use the Beam RunInference +API. <!---TODO: Add link to full documentation on Beam website when it's published.--> + +## Pre-requisites + +You must have `apache-beam>=2.40.0` installed in order to run these pipelines, +because the `apache_beam.examples.inference` module was added in that release. +``` +pip install apache-beam==2.40.0 +``` + +### Pytorch dependencies +The RunInference API has support for the Pytorch framework. To use Pytorch locally, first install `torch`. +``` +pip install torch==1.11.0 +``` + +For installation of the `torch` dependency for Dataflow pipelines, refer to these +[instructions](https://beam.apache.org/documentation/sdks/python-pipeline-dependencies/#pypi-dependencies). + +<!--- +TODO: Add link to full documentation on Beam website when it's published. + +i.e. "See the +[documentation](https://beam.apache.org/documentation/dsls/dataframes/overview/#pre-requisites) +for details." +--> + +### Datasets and Models for RunInference +Data related to RunInference has been staged in +`gs://apache-beam-ml/` for use with these example pipelines. You can see this by using the [gsutil tool](https://cloud.google.com/storage/docs/gsutil#gettingstarted). +``` +gsutil ls gs://apache-beam-ml +``` + +--- +## Image Classification with ImageNet dataset + +[`pytorch_image_classification.py`](./pytorch_image_classification.py) contains +an implementation for a RunInference pipeline thatpeforms image classification +on [ImageNet dataset](https://www.image-net.org/) using the MobileNetV2 +architecture. + +The pipeline reads the images, performs basic preprocessing, passes them to the +PyTorch implementation of RunInference, and then writes the predictions +to a text file in GCS. + +### Dataset and model for Image Classification + +<!--- +TODO: Add once benchmark test is released +- `gs://apache-beam-ml/testing/inputs/imagenet_validation_inputs.txt`: + text file containing the GCS paths of the images of all 5000 imagenet validation data + - gs://apache-beam-ml/datasets/imagenet/raw-data/validation/ILSVRC2012_val_00000001.JPEG + - ... + - gs://apache-beam-ml/datasets/imagenet/raw-data/validation/ILSVRC2012_val_00050000.JPEG +--> +- `gs://apache-beam-ml/testing/inputs/it_imagenet_validation_inputs.txt/`: Review Comment: Fixed. ########## sdks/python/apache_beam/examples/inference/README.md: ########## @@ -0,0 +1,111 @@ +<!-- + 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. +--> + +# Example RunInference API Pipelines + +This module contains example pipelines that use the Beam RunInference +API. <!---TODO: Add link to full documentation on Beam website when it's published.--> + +## Pre-requisites + +You must have `apache-beam>=2.40.0` installed in order to run these pipelines, +because the `apache_beam.examples.inference` module was added in that release. +``` +pip install apache-beam==2.40.0 +``` + +### Pytorch dependencies +The RunInference API has support for the Pytorch framework. To use Pytorch locally, first install `torch`. +``` +pip install torch==1.11.0 +``` + +For installation of the `torch` dependency for Dataflow pipelines, refer to these +[instructions](https://beam.apache.org/documentation/sdks/python-pipeline-dependencies/#pypi-dependencies). + +<!--- +TODO: Add link to full documentation on Beam website when it's published. + +i.e. "See the +[documentation](https://beam.apache.org/documentation/dsls/dataframes/overview/#pre-requisites) +for details." +--> + +### Datasets and Models for RunInference +Data related to RunInference has been staged in +`gs://apache-beam-ml/` for use with these example pipelines. You can see this by using the [gsutil tool](https://cloud.google.com/storage/docs/gsutil#gettingstarted). Review Comment: Done. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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