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Merge branch 'master' into fix-windowed-value-coder
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shunping committed Dec 17, 2024
2 parents 409599d + 0e37501 commit e42feaf
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Expand Up @@ -13,9 +13,11 @@
# See the License for the specific language governing permissions and
# limitations under the License.

name: Wordcount Python Cost Benchmarks Dataflow
name: Python Cost Benchmarks Dataflow

on:
schedule:
- cron: '30 18 * * 6' # Run at 6:30 pm UTC on Saturdays
workflow_dispatch:

#Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event
Expand Down Expand Up @@ -47,16 +49,17 @@ env:
INFLUXDB_USER_PASSWORD: ${{ secrets.INFLUXDB_USER_PASSWORD }}

jobs:
beam_Inference_Python_Benchmarks_Dataflow:
beam_Python_Cost_Benchmarks_Dataflow:
if: |
github.event_name == 'workflow_dispatch'
github.event_name == 'workflow_dispatch' ||
(github.event_name == 'schedule' && github.repository == 'apache/beam')
runs-on: [self-hosted, ubuntu-20.04, main]
timeout-minutes: 900
name: ${{ matrix.job_name }} (${{ matrix.job_phrase }})
strategy:
matrix:
job_name: ["beam_Wordcount_Python_Cost_Benchmarks_Dataflow"]
job_phrase: ["Run Wordcount Cost Benchmark"]
job_name: ["beam_Python_CostBenchmark_Dataflow"]
job_phrase: ["Run Python Dataflow Cost Benchmarks"]
steps:
- uses: actions/checkout@v4
- name: Setup repository
Expand All @@ -76,10 +79,11 @@ jobs:
test-language: python
argument-file-paths: |
${{ github.workspace }}/.github/workflows/cost-benchmarks-pipeline-options/python_wordcount.txt
${{ github.workspace }}/.github/workflows/cost-benchmarks-pipeline-options/python_tf_mnist_classification.txt
# The env variables are created and populated in the test-arguments-action as "<github.job>_test_arguments_<argument_file_paths_index>"
- name: get current time
run: echo "NOW_UTC=$(date '+%m%d%H%M%S' --utc)" >> $GITHUB_ENV
- name: run wordcount on Dataflow Python
- name: Run wordcount on Dataflow
uses: ./.github/actions/gradle-command-self-hosted-action
timeout-minutes: 30
with:
Expand All @@ -88,4 +92,14 @@ jobs:
-PloadTest.mainClass=apache_beam.testing.benchmarks.wordcount.wordcount \
-Prunner=DataflowRunner \
-PpythonVersion=3.10 \
'-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_1 }} --job_name=benchmark-tests-wordcount-python-${{env.NOW_UTC}} --output=gs://temp-storage-for-end-to-end-tests/wordcount/result_wordcount-${{env.NOW_UTC}}.txt' \
'-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_1 }} --job_name=benchmark-tests-wordcount-python-${{env.NOW_UTC}} --output_file=gs://temp-storage-for-end-to-end-tests/wordcount/result_wordcount-${{env.NOW_UTC}}.txt' \
- name: Run Tensorflow MNIST Image Classification on Dataflow
uses: ./.github/actions/gradle-command-self-hosted-action
timeout-minutes: 30
with:
gradle-command: :sdks:python:apache_beam:testing:load_tests:run
arguments: |
-PloadTest.mainClass=apache_beam.testing.benchmarks.inference.tensorflow_mnist_classification_cost_benchmark \
-Prunner=DataflowRunner \
-PpythonVersion=3.10 \
'-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_2 }} --job_name=benchmark-tests-tf-mnist-classification-python-${{env.NOW_UTC}} --input_file=gs://apache-beam-ml/testing/inputs/it_mnist_data.csv --output_file=gs://temp-storage-for-end-to-end-tests/wordcount/result_tf_mnist-${{env.NOW_UTC}}.txt --model=gs://apache-beam-ml/models/tensorflow/mnist/' \
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# 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.

--region=us-central1
--machine_type=n1-standard-2
--num_workers=1
--disk_size_gb=50
--autoscaling_algorithm=NONE
--input_options={}
--staging_location=gs://temp-storage-for-perf-tests/loadtests
--temp_location=gs://temp-storage-for-perf-tests/loadtests
--requirements_file=apache_beam/ml/inference/tensorflow_tests_requirements.txt
--publish_to_big_query=true
--metrics_dataset=beam_run_inference
--metrics_table=tf_mnist_classification
--runner=DataflowRunner
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#
# 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.
#
# pytype: skip-file

import logging

from apache_beam.examples.inference import tensorflow_mnist_classification
from apache_beam.testing.load_tests.dataflow_cost_benchmark import DataflowCostBenchmark


class TensorflowMNISTClassificationCostBenchmark(DataflowCostBenchmark):
def __init__(self):
super().__init__()

def test(self):
extra_opts = {}
extra_opts['input'] = self.pipeline.get_option('input_file')
extra_opts['output'] = self.pipeline.get_option('output_file')
extra_opts['model_path'] = self.pipeline.get_option('model')
tensorflow_mnist_classification.run(
self.pipeline.get_full_options_as_args(**extra_opts),
save_main_session=False)


if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
TensorflowMNISTClassificationCostBenchmark().run()

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