yeandy commented on code in PR #21738: URL: https://github.com/apache/beam/pull/21738#discussion_r951479723
########## .test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy: ########## @@ -0,0 +1,166 @@ +/* + * 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 CommonJobProperties as commonJobProperties +import LoadTestsBuilder as loadTestsBuilder +import PhraseTriggeringPostCommitBuilder +import CronJobBuilder + +def now = new Date().format("MMddHHmmss", TimeZone.getTimeZone('UTC')) + +def loadTestConfigurations = { + -> + [ + // Benchmark test config. Add multiple configs for multiple models. + // (TODO): Add model name to experiments once decided on which models to use. + [ + title : 'Pytorch Vision Classification with Resnet 101', + test : 'apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks', + runner : CommonTestProperties.Runner.DATAFLOW, + pipelineOptions: [ + job_name : 'benchmark-tests-pytorch-imagenet-python' + now, + project : 'apache-beam-testing', + region : 'us-central1', + staging_location : 'gs://temp-storage-for-perf-tests/loadtests', + temp_location : 'gs://temp-storage-for-perf-tests/loadtests', + requirements_file : 'apache_beam/ml/inference/torch_tests_requirements.txt', + publish_to_big_query : true, + metrics_dataset : 'beam_run_inference', + metrics_table : 'torch_inference_imagenet_results_resnet101', + input_options : '{}', // this option is not required for RunInference tests. + influx_measurement : 'torch_inference_imagenet_resnet101', + influx_db_name : InfluxDBCredentialsHelper.InfluxDBDatabaseName, + influx_hostname : InfluxDBCredentialsHelper.InfluxDBHostUrl, + // args defined in the performance test + pretrained_model_name : 'resnet101', + // args defined in the example. + input : 'gs://apache-beam-ml/testing/inputs/openimage_50k_benchmark.txt', + // TODO: make sure the model_state_dict_path weights are accurate. + model_state_dict_path : 'gs://apache-beam-ml/models/torchvision.models.resnet101.pth', + output : 'gs://temp-storage-for-end-to-end-tests/torch/result_' + now + '.txt' + ] + ], + [ + title : 'Pytorch Imagenet Classification with Resnet 152', + test : 'apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks', + runner : CommonTestProperties.Runner.DATAFLOW, + pipelineOptions: [ + job_name : 'benchmark-tests-pytorch-imagenet-python' + now, + project : 'apache-beam-testing', + region : 'us-central1', + staging_location : 'gs://temp-storage-for-perf-tests/loadtests', + temp_location : 'gs://temp-storage-for-perf-tests/loadtests', + requirements_file : 'apache_beam/ml/inference/torch_tests_requirements.txt', + publish_to_big_query : true, + metrics_dataset : 'beam_run_inference', + metrics_table : 'torch_inference_imagenet_results_resnet152', + input_options : '{}', // this option is not required for RunInference tests. + influx_measurement : 'torch_inference_imagenet_resnet152', + influx_db_name : InfluxDBCredentialsHelper.InfluxDBDatabaseName, + influx_hostname : InfluxDBCredentialsHelper.InfluxDBHostUrl, + // args defined in the performance test + pretrained_model_name : 'resnet152', + // args defined in the example. + input : 'gs://apache-beam-ml/testing/inputs/openimage_50k_benchmark.txt', + // TODO: make sure the model_state_dict_path weights are accurate. + model_state_dict_path : 'gs://apache-beam-ml/models/torchvision.models.resnet152.pth', + output : 'gs://temp-storage-for-end-to-end-tests/torch/result_' + now + '.txt' + ] + ], + // pytorch language modeling test using HuggingFace bert models + [ + title : 'Pytorch Lanugaue Modeling using Hugging face bert-base-uncased model', Review Comment: ```suggestion title : 'Pytorch Lanugaue Modeling using Hugging Face bert-base-uncased model', ``` -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
